Journal articles on the topic 'Information retrieval Methodology'
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Qaiser Abbas. "Classical and Probabilistic Information Retrieval Techniques: An Audit." Lahore Garrison University Research Journal of Computer Science and Information Technology 5, no. 3 (September 12, 2021): 84–91. http://dx.doi.org/10.54692/lgurjcsit.2021.0503221.
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Information retrieval is acquiring particular information from large resources and presenting it according to the user’s need. The incredible increase in information resources on the Internet formulates the information retrieval procedure, a monotonous and complicated task for users. Due to over access of information, better methodology is required to retrieve the most appropriate information from different sources. The most important information retrieval methods include the probabilistic, fuzzy set, vector space, and boolean models. Each of these models usually are used for evaluating the connection between the question and the retrievable documents. These methods are based on the keyword and use lists of keywords to evaluate the information material. In this paper, we present a survey of these models so that their working methodology and limitations are discussed. This is an important understanding because it makes possible to select an information retrieval technique based on the basic requirements. The survey results showed that the existing model for knowledge recovery is somewhere short of what was planned. We have also discussed different areas of IR application where these models could be used.
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Marcos-Pablos, Samuel, and Francisco J. García-Peñalvo. "Information retrieval methodology for aiding scientific database search." Soft Computing 24, no. 8 (October 12, 2018): 5551–60. http://dx.doi.org/10.1007/s00500-018-3568-0.
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Burton, Sharon P., Eduard Chemyakin, Xu Liu, Kirk Knobelspiesse, Snorre Stamnes, Patricia Sawamura, Richard H. Moore, Chris A. Hostetler, and Richard A. Ferrare. "Information content and sensitivity of the 3<i>β</i> + 2<i>α</i> lidar measurement system for aerosol microphysical retrievals." Atmospheric Measurement Techniques 9, no. 11 (November 22, 2016): 5555–74. http://dx.doi.org/10.5194/amt-9-5555-2016.
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Abstract. There is considerable interest in retrieving profiles of aerosol effective radius, total number concentration, and complex refractive index from lidar measurements of extinction and backscatter at several wavelengths. The combination of three backscatter channels plus two extinction channels (3β + 2α) is particularly important since it is believed to be the minimum configuration necessary for the retrieval of aerosol microphysical properties and because the technological readiness of lidar systems permits this configuration on both an airborne and future spaceborne instrument. The second-generation NASA Langley airborne High Spectral Resolution Lidar (HSRL-2) has been making 3β + 2α measurements since 2012. The planned NASA Aerosol/Clouds/Ecosystems (ACE) satellite mission also recommends the 3β + 2α combination.Here we develop a deeper understanding of the information content and sensitivities of the 3β + 2α system in terms of aerosol microphysical parameters of interest. We use a retrieval-free methodology to determine the basic sensitivities of the measurements independent of retrieval assumptions and constraints. We calculate information content and uncertainty metrics using tools borrowed from the optimal estimation methodology based on Bayes' theorem, using a simplified forward model look-up table, with no explicit inversion. The forward model is simplified to represent spherical particles, monomodal log-normal size distributions, and wavelength-independent refractive indices. Since we only use the forward model with no retrieval, the given simplified aerosol scenario is applicable as a best case for all existing retrievals in the absence of additional constraints. Retrieval-dependent errors due to mismatch between retrieval assumptions and true atmospheric aerosols are not included in this sensitivity study, and neither are retrieval errors that may be introduced in the inversion process. The choice of a simplified model adds clarity to the understanding of the uncertainties in such retrievals, since it allows for separately assessing the sensitivities and uncertainties of the measurements alone that cannot be corrected by any potential or theoretical improvements to retrieval methodology but must instead be addressed by adding information content.The sensitivity metrics allow for identifying (1) information content of the measurements vs. a priori information; (2) error bars on the retrieved parameters; and (3) potential sources of cross-talk or "compensating" errors wherein different retrieval parameters are not independently captured by the measurements. The results suggest that the 3β + 2α measurement system is underdetermined with respect to the full suite of microphysical parameters considered in this study and that additional information is required, in the form of additional coincident measurements (e.g., sun-photometer or polarimeter) or a priori retrieval constraints. A specific recommendation is given for addressing cross-talk between effective radius and total number concentration.
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Kolassa, J., F. Aires, J. Polcher, C. Prigent, C. Jimenez, and J. M. Pereira. "Soil moisture retrieval from multi-instrument observations: Information content analysis and retrieval methodology." Journal of Geophysical Research: Atmospheres 118, no. 10 (May 17, 2013): 4847–59. http://dx.doi.org/10.1029/2012jd018150.
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Qiao, Hu, Qingyun Wu, Songlin Yu, Jiang Du, and Ying Xiang. "A 3D assembly model retrieval method based on assembly information." Assembly Automation 39, no. 4 (September 2, 2019): 556–65. http://dx.doi.org/10.1108/aa-03-2018-047.
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Purpose The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods. Design/methodology/approach The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs. Findings The method improved the efficiency and accuracy of assembly model retrieval. Practical implications The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications. Originality/value The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.
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Rohen, G. J., C. v. Savigny, J. W. Kaiser, E. J. Llewellyn, L. Froidevaux, M. López-Puertas, T. Steck, et al. "Ozone profile retrieval from limb scatter measurements in the HARTLEY bands: methodology, algorithm description, sensitivity studies, and validation." Atmospheric Chemistry and Physics Discussions 7, no. 4 (August 16, 2007): 12097–143. http://dx.doi.org/10.5194/acpd-7-12097-2007.
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Abstract. SCIAMACHY limb scatter spectra have been used to retrieve atmospheric ozone profiles in the upper stratosphere and lower mesosphere. Through a selection of the wavelengths in the HARTLEY bands of ozone, profiles extending to 60 or 70 km altitude were retrieved. This constitutes the highest possible ozone profile information retrieval using the backscatter technique. Comparisons with profiles measured by a ground based radiometer in Norway, MIPAS on board ENVISAT, HALOE on UARS and MLS on AURA indicate a good agreement of the ozone profiles in the upper stratosphere within 10% but also an increasing overestimation above 50 to 55 km. Sensitivity studies show that solar zenith uncertainty and tangent height errors are the largest error sources. Although the tangent height is corrected through an own retrieval the correction seemed to be be worser with increasing altitude and remains therefore as the largest error source for this presented profile retrieval.
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Eayrs, Martin. "A Principled Methodology for Information Retrieval on the Web." Issues in Informing Science and Information Technology 3 (2006): 211–18. http://dx.doi.org/10.28945/884.
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Sharma, Pawan, and Tripathi R.C. "Patent Database : A Methodology of Information Retrieval From PDF." International Journal of Database Management Systems 5, no. 5 (October 31, 2013): 9–16. http://dx.doi.org/10.5121/ijdms.2013.5502.
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Vicente-López, Eduardo, Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Antonio Tagua-Jiménez, and Carmen Tur-Vigil. "An automatic methodology to evaluate personalized information retrieval systems." User Modeling and User-Adapted Interaction 25, no. 1 (June 26, 2014): 1–37. http://dx.doi.org/10.1007/s11257-014-9148-9.
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Bergman, Ofer, Tamar Israeli, and Steve Whittaker. "Factors hindering shared files retrieval." Aslib Journal of Information Management 72, no. 1 (December 16, 2019): 130–47. http://dx.doi.org/10.1108/ajim-05-2019-0120.
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Purpose Personal information management (PIM) is an activity in which people store information items in order to retrieve them later. The purpose of this paper is to test and quantify the effect of factors related to collection size, file properties and workload on file retrieval success and efficiency. Design/methodology/approach In the study, 289 participants retrieved 1,557 of their shared files in a naturalistic setting. The study used specially developed software designed to collect shared files’ names and present them as targets for the retrieval task. The dependent variables were retrieval success, retrieval time and misstep/s. Findings Various factors compromise shared files retrieval including: collection size (large number of files), file properties (multiple versions, size of team sharing the file, time since most recent retrieval and folder depth) and workload (daily e-mails sent and received). The authors discuss theoretical reasons for these negative effects and suggest possible ways to overcome them. Originality/value Retrieval is the main reason people manage personal information. It is essential for retrieval to be successful and efficient, as information cannot be used unless it can be re-accessed. Prior PIM research has assumed that factors related to collection size, file properties and workload affect file retrieval. However, this is the first study to systematically quantify the negative effects of these factors. As each of these factors is expected to be exacerbated in the future, this study is a necessary first step toward addressing these problems.
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Abburu, Sunitha, and Nitant Dube. "Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data." International Journal on Semantic Web and Information Systems 12, no. 2 (April 2016): 53–75. http://dx.doi.org/10.4018/ijswis.2016040103.
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Current satellite data retrieval systems retrieves data using latitude, longitude, date, time and sensor parameters like wind, cloud etc. To achieve concept based satellite data retrieval like Storm, Hurricane, Overcast and Frost etc., requires ontological concept descriptions using satellite observation parameters and concept based classification of satellite data. The current research work has designed and implemented a two phase methodology to achieve this. The phase 1 defines ontology concepts through satellite observation parameters and phase 2 describes ontology concept based satellite data classification. The efficiency of the methodology is been tested by taking the Kalpana satellite data from MOSDAC and weather ontology. This achieves concept based retrieval of satellite data, application interoperability and strengthen the ontologies. The current methodology is implemented and results in concept based satellite data classification, storage and retrieval.
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Sen, Procheta. "Proactive information retrieval." ACM SIGIR Forum 55, no. 2 (December 2021): 1–2. http://dx.doi.org/10.1145/3527546.3527576.
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Users interact with digital systems with some underlying tasks in their minds. In our research scope, a task can be either single or multi-staged. A single-staged task is associated with a single information need, whereas a multi-staged one is associated with more than one information needs. An example of a single-staged task is suggesting related papers to an author while they are writing a section of the research papers. An example of a multi-staged task is planning for a vacation, where the different underlying information needs could be 'places to visit', 'booking accommodation' etc. In the process of accomplishing their task objectives, a user often needs to interact with an information retrieval (IR) system to address one or more information needs. For instance, for writing a research paper on a chosen topic, a user needs to look for existing research work related to the topic. Traditional IR systems do not take into account a user's task intent while showing search results to the user. In our work, we propose a methodology towards developing next generation IR systems (i.e. proactive IR systems) which seek to anticipate the task intent of a user from their interactions with digital systems in order to proactively suggest potentially relevant information sources to assist them to complete their tasks. Specifically speaking, in this PhD, we proposed an embedding approach that captures the task semantics from the interactions of a user with a digital system (e.g. laptop, desktop, smartphone etc.). The proposed embedding approach is then applied for the downstream tasks of providing proactive suggestions in both single and multi staged scenarios. For the single-staged task, we propose a simulation setup to simulate a user's reading and writing interactions in a desktop environment. For the multi-staged task, we focus on web search sessions where a user can have multiple information needs corresponding to a search task. We also proposed a reproducible evaluation framework to compare between different proactive suggestion models. Awarded by : Dublin City University, Ireland on 10 August 2021. Supervised by : Gareth Jones. Available at : https://procheta.github.io/sprocheta/Thesis.pdf.
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Posselt, Derek J., James Kessler, and Gerald G. Mace. "Bayesian Retrievals of Vertically Resolved Cloud Particle Size Distribution Properties." Journal of Applied Meteorology and Climatology 56, no. 3 (March 2017): 745–65. http://dx.doi.org/10.1175/jamc-d-16-0276.1.
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AbstractRetrievals of liquid cloud properties from remote sensing observations by necessity assume sufficient information is contained in the measurements, and in the prior knowledge of the cloudy state, to uniquely determine a solution. Bayesian algorithms produce a retrieval that consists of the joint probability distribution function (PDF) of cloud properties given the measurements and prior knowledge. The Bayesian posterior PDF provides the maximum likelihood estimate, the information content in specific measurements, the effect of observation and forward model uncertainties, and quantitative error estimates. It also provides a test of whether, and in which contexts, a set of observations is able to provide a unique solution. In this work, a Bayesian Markov chain Monte Carlo (MCMC) algorithm is used to sample the joint posterior PDF for retrieved cloud properties in shallow liquid clouds over the remote Southern Ocean. Combined active and passive observations from spaceborne W-band cloud radar and visible and near-infrared reflectance are used to retrieve the parameters of a gamma particle size distribution (PSD) for cloud droplets and drizzle. Combined active and passive measurements are able to distinguish between clouds with and without precipitation; however, unique retrieval of PSD properties requires specification of a scene-appropriate prior estimate. While much of the uncertainty in an unconstrained retrieval can be mitigated by use of information from 94-GHz passive brightness temperature measurements, simply increasing measurement accuracy does not render a unique solution. The results demonstrate the robustness of a Bayesian retrieval methodology and highlight the importance of an appropriately scene-consistent prior constraint in underdetermined remote sensing retrievals.
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Buarki, Hanadi, and Bashaer Alkhateeb. "Use of hashtags to retrieve information on the web." Electronic Library 36, no. 2 (April 3, 2018): 286–304. http://dx.doi.org/10.1108/el-01-2017-0011.
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Purpose This paper aims to find out how people use hashtags as a medium of information retrieval and dissemination, and how they are used in social media tools, such as Instagram. Design/methodology/approach A quantitative question estimated the participants’ use of the hashtags during the workshop. Statistical data of the participants and their posts were collected from social network analysis tools. The posts that included the workshop’s designated hashtags were retrieved, recorded, coded and analysed to collect qualitative data. Findings In total, 74 (46 per cent) participants used the workshop’s hashtags to share posts, the retrieval of the hashtags declined by time and Google search engine retrieved the maximum results. It was found that a hashtag would be common when associated with descriptors, and that its use depends on its popularity, followers and its survival time. Finally, hashtags connect people, allow them to express their enthusiasm to reveal common interests and networks them through social media tools such as Instagram. Research limitations/implications The research limitations were in relation to the participants’ demographic information, the non-identification of their gender and hashtags being misspelt. Practical implications The research project summarises the experiences that social media has made connecting easier through the right use of hashtags by providing 24/7 free feedback, the possibility to exchange ideas and by their involvement in promoting and organising events. It also indicates interaction among people sharing the same interest by retrieving subject-based hashtags. Originality/value When retrieving information related to hashtags, it is recommended that multi-retrieval systems, social media tools and search engines should be consulted and not depend on a solo system or tool. Future research is recommended in search for a multi-retrieval social media and search engine tool that standardises the use of hashtags and will retrieve information from different platforms.
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Zong, Xian Liang, Ping Wang, and Hui Zheng. "Research on Automobile Panel Case Retrieval Methodology." Applied Mechanics and Materials 16-19 (October 2009): 1318–23. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1318.
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CBR (Case-based reasoning) technique is increasingly applied in the process planning and dies intelligent design for stamping parts. In these applications, stamping parts information acts as the problem domain of cases model, while stamping process and die information as the answer domain. The similarity computation and retrieval of stamping parts are essential to the case-based design of stamping process planning and dies. In this paper, that issue is studied targeting automotive panel as the research object, and a retrieval method for similar panel parts based on the automobile panel coding is proposed. The coding structure is designed considering the automobile panel's features, especially the geometry shape features and their relationship. And the corresponding similarity calculation method is put forward. Finally, a case study is used to reveal the effectiveness of this methodology.
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FILIMONOVA, T. I., and L. V. EMELIANOVA. "COMPUTER METHODOLOGY IN ARCHIVAL STUDY: THE ‘DEPOSITARY’ INFORMATION RETRIEVAL SYSTEM." History and Computing 12, no. 3 (October 2000): 347–66. http://dx.doi.org/10.3366/hac.2000.12.3.347.
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Montoya, O. Lucia Quintero, Luisa F. Villa, Santiago Muñoz, Ana C. Ruiz Arenas, and Manuela Bastidas. "Information retrieval on documents methodology based on entropy filtering methodologies." International Journal of Business Intelligence and Data Mining 10, no. 3 (2015): 280. http://dx.doi.org/10.1504/ijbidm.2015.071327.
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Liu, Yuli, and Gerald G. Mace. "Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms." Atmospheric Measurement Techniques 15, no. 4 (February 23, 2022): 927–44. http://dx.doi.org/10.5194/amt-15-927-2022.
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Abstract. The 2017 National Academy of Sciences Decadal Survey highlighted several high-priority objectives to be pursued in the decadal timeframe, and the next-generation Cloud, Convection and Precipitation (CCP) observing system is thereby contemplated. In this study, we develop a suite of hybrid Bayesian algorithms to evaluate two CCP remote sensor candidates including a W-band cloud radar and a (sub)millimeter-wave radiometer with channels in the 118–880 GHz frequency range for capability in constraining ice cloud microphysical quantities. The algorithms address active-only, passive-only, and synergistic active–passive retrievals. The hybrid Bayesian algorithms combine the Bayesian Monte Carlo integration and optimization process to retrieve quantities with uncertainty estimates. The radar-only retrievals employ the optimal estimation methodology, while the radiometer-involved retrievals employ ensemble approaches to maximize the posterior probability density function. A priori information is obtained from the Tropical Composition, Cloud and Climate Coupling (TC4) in situ data and CloudSat radar observations. End-to-end simulation experiments are conducted to evaluate the retrieval accuracies by comparing the retrieved parameters with known values. The experiment results suggest that the radiometer measurements possess high sensitivity to ice cloud particles with large water content. The radar-only retrievals demonstrate capability in reproducing ice water content profiles, but the performance in retrieving number concentration is poor. The synergistic observations enable improved pixel-level retrieval accuracies, and the improvements in ice water path retrievals are significant. The proposed retrieval algorithms could serve as alternative methods for exploring the synergistic active and passive concept, and the algorithm framework could be extended to the inclusion of other remote sensors to further assess the CCP observing system in future studies.
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Gimeno García, S., F. Schreier, G. Lichtenberg, and S. Slijkhuis. "Near infrared nadir retrieval of vertical column densities: methodology and application to SCIAMACHY." Atmospheric Measurement Techniques 4, no. 12 (December 8, 2011): 2633–57. http://dx.doi.org/10.5194/amt-4-2633-2011.
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Abstract. Nadir observations with the shortwave infrared channels of SCIAMACHY on-board the ENVISAT satellite can be used to derive information on atmospheric gases such as CO, CH4, N2O, CO2, and H2O. For the operational level 1b-2 processing of SCIAMACHY data, a new retrieval code BIRRA (Beer InfraRed Retrieval Algorithm) has been developed. BIRRA performs a nonlinear or separable least squares fit (with bound constraints optional) of the measured radiance, where molecular concentration vertical profiles are scaled to fit the observed data. Here we present the forward modeling (radiative transfer) and inversion (least squares optimization) fundamentals of the code along with the further processing steps required to generate higher level products such as global distributions and time series. Moreover, various aspects of level 1 (observed spectra) and auxiliary input data relevant for successful retrievals are discussed. BIRRA is currently used for operational analysis of carbon monoxide vertical column densities from SCIAMACHY channel 8 observations, and is being prepared for methane retrievals using channel 6 spectra. A set of representative CO retrievals and first CH4 results are presented to demonstrate BIRRA's capabilities.
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Gimeno García, S., F. Schreier, G. Lichtenberg, and S. Slijkhuis. "Near infrared nadir sounding of vertical column densities: methodology and application to SCIAMACHY." Atmospheric Measurement Techniques Discussions 4, no. 3 (June 10, 2011): 3685–737. http://dx.doi.org/10.5194/amtd-4-3685-2011.
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Abstract. Nadir observations with the shortwave infrared channels of SCIAMACHY onboard the ENVISAT satellite can be used to derive information on atmospheric gases such as CO, CH4, N2O, CO2, and H2O. For the operational level 1b–2 processing of SCIAMACHY data a new retrieval code BIRRA (Beer InfraRed Retrieval Algorithm) has been developed: BIRRA performs a nonlinear least squares fit of the measured radiance, where molecular concentration vertical profiles are scaled to fit the observed data. Here we present the forward modeling (radiative transfer) and inversion (least squares optimization) fundamentals of the code along with the further processing steps required to generate higher level products such as global distributions and time series. Moreover, various aspects of level 1 (observed spectra) and auxiliary input data relevant for successful retrievals are discussed. BIRRA is currently used for operational analysis of carbon monoxide vertical column densities from SCIAMACHY channel 8 observations, and is being prepared for methane retrievals using channel 6 spectra. A set of representative CO retrievals and first CH4 results are presented to demonstrate BIRRA's capabilities.
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FRIKH, BOUCHRA, AHMED SAID DJAANFAR, and BRAHIM OUHBI. "A NEW METHODOLOGY FOR DOMAIN ONTOLOGY CONSTRUCTION FROM THE WEB." International Journal on Artificial Intelligence Tools 20, no. 06 (December 2011): 1157–70. http://dx.doi.org/10.1142/s0218213011000565.
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Resources like ontologies are used in a number of applications, including natural language processing, information retrieval(especially from the Internet). Different methods have been proposed to build such resources. This paper proposes a new method to extract information from the Web to build a taxonomy of terms and Web resources for a given domain. Firstly, a (CHIR) method is used to identify candidat terms. Then a similarity (SIM) measure is introduced to select relevant concepts to build the ontology. Our new algorithm, called (CHIRSIM), is easy to implement and can be efficiently integrated into an information retrieval system to help improve the retrieval performance. Experimental results show that the proposed approach can effectively and efficiently construct a cancer domain ontology from unstructured text documents.
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Rydberg, B., P. Eriksson, S. A. Buehler, and D. P. Murtagh. "Non-Gaussian Bayesian retrieval of tropical upper tropospheric cloud ice and water vapour from Odin-SMR measurements." Atmospheric Measurement Techniques Discussions 2, no. 4 (July 13, 2009): 1575–624. http://dx.doi.org/10.5194/amtd-2-1575-2009.
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Abstract. Improved Odin-SMR retrievals of upper tropospheric water are presented. The new retrieval algorithm retrieves humidity and cloud ice mass simultaneously and takes into account of cloud inhomogeneities. Both these aspects are introduced for microwave limb sounding inversions for the first time. A Bayesian methodology is applied allowing for a formally correct treatment of non-unique retrieval problems involving non-Gaussian statistics. Cloud structure information from CloudSat is incorporated into the retrieval algorithm. This removes a major limitation of earlier inversion methods where uniform cloud layers were assumed and caused a systematic retrieval error. The core part of the retrieval technique is the generation of a database that must closely represent real conditions. Good agreement with Odin-SMR observations indicates that this requirement is met. The retrieval precision is determined to be about 5–17% RHi and 65% for humidity and cloud ice mass, respectively. For both quantities, the vertical resolution is about 5 km and the best retrieval performance is found between 11 and 15 km. New data show a significantly improved agreement with CloudSat cloud ice mass retrievals, at the same time consistency with the Aura MLS humidity results is maintained. The basics of the approach presented can be applied for all passive cloud observations and should be of broad interest. The results can also be taken as a demonstration of the potential of down-looking sub-mm radiometry for global measurements of cloud ice properties.
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Rydberg, B., P. Eriksson, S. A. Buehler, and D. P. Murtagh. "Non-Gaussian Bayesian retrieval of tropical upper tropospheric cloud ice and water vapour from Odin-SMR measurements." Atmospheric Measurement Techniques 2, no. 2 (October 28, 2009): 621–37. http://dx.doi.org/10.5194/amt-2-621-2009.
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Abstract. Improved Odin-SMR retrievals of upper tropospheric water are presented. The new retrieval algorithm retrieves humidity and cloud ice mass simultaneously and takes into account of cloud inhomogeneities. Both these aspects are introduced for microwave limb sounding inversions for the first time. A Bayesian methodology is applied allowing for a formally correct treatment of non-unique retrieval problems involving non-Gaussian statistics. Cloud structure information from CloudSat is incorporated into the retrieval algorithm. This removes a major limitation of earlier inversion methods where uniform cloud layers were assumed and caused a systematic retrieval error. The core part of the retrieval technique is the generation of a database that must closely represent real conditions. Good agreement with Odin-SMR observations indicates that this requirement is met. The retrieval precision is determined to be about 5–17% RHi and 65% for humidity and cloud ice mass, respectively. For both quantities, the vertical resolution is about 5 km and the best retrieval performance is found between 11 and 15 km. New data show a significantly improved agreement with CloudSat cloud ice mass retrievals, at the same time consistency with the Aura MLS humidity results is maintained. The basics of the approach presented can be applied for all passive cloud observations and should be of broad interest. The results can also be taken as a demonstration of the potential of down-looking sub-mm radiometry for global measurements of cloud ice properties.
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Li, Zhanjun, Maria C. Yang, and Karthik Ramani. "A methodology for engineering ontology acquisition and validation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 23, no. 1 (December 16, 2008): 37–51. http://dx.doi.org/10.1017/s0890060409000092.
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AbstractWhen engineering content is created and applied during the product life cycle, it is often stored and forgotten. Current information retrieval approaches based on statistical methods and keyword matching are not effective in understanding the context of engineering content. They are not designed to be directly applicable to the engineering domain. Therefore, engineers have very limited means to harness and reuse past designs. The overall objective of our research is to develop an engineering ontology (EO)-based computational framework to structure unstructured engineering documents and achieve more effective information retrieval. This paper focuses on the method and process to acquire and validate the EO. The main contributions include a new, systematic, and more structured ontology development method assisted by a semiautomatic acquisition tool. This tool is integrated with Protégé ontology editing environment; an engineering lexicon (EL) that represents the associated lexical knowledge of the EO to bridge the gap between the concept space of the ontology and the word space of engineering documents and queries; the first large-scale EO and EL acquired from established knowledge resources for engineering information retrieval; and a comprehensive validation strategy and its implementations to justify the quality of the acquired EO. A search system based on the EO and EL has been developed and tested. The retrieval performance test further justifies the effectiveness of the EO and EL as well as the ontology development method.
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Masiello, G., C. Serio, I. De Feis, M. Amoroso, S. Venafra, I. F. Trigo, and P. Watts. "Kalman filter physical retrieval of surface emissivity and temperature from geostationary infrared radiances." Atmospheric Measurement Techniques 6, no. 12 (December 20, 2013): 3613–34. http://dx.doi.org/10.5194/amt-6-3613-2013.
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Abstract. The high temporal resolution of data acquisition by geostationary satellites and their capability to resolve the diurnal cycle allows for the retrieval of a valuable source of information about geophysical parameters. In this paper, we implement a Kalman filter approach to apply temporal constraints on the retrieval of surface emissivity and temperature from radiance measurements made from geostationary platforms. Although we consider a case study in which we apply a strictly temporal constraint alone, the methodology will be presented in its general four-dimensional, i.e., space-time, setting. The case study we consider is the retrieval of emissivity and surface temperature from SEVIRI (Spinning Enhanced Visible and Infrared Imager) observations over a target area encompassing the Iberian Peninsula and northwestern Africa. The retrievals are then compared with in situ data and other similar satellite products. Our findings show that the Kalman filter strategy can simultaneously retrieve surface emissivity and temperature with an accuracy of ± 0.005 and ± 0.2 K, respectively.
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Herbin, H., L. C. Labonnote, and P. Dubuisson. "Multispectral information for gas and aerosol retrieval from TANSO-FTS instrument." Atmospheric Measurement Techniques Discussions 5, no. 6 (November 26, 2012): 8435–68. http://dx.doi.org/10.5194/amtd-5-8435-2012.
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Abstract. The Greenhouse gases Observing SATellite (GOSAT) mission and in particular TANSO-FTS instrument has the advantage to measure simultaneously the same field of view in different spectral ranges with a high spectral resolution. These features are promising to improve, not only, gaseous retrieval in clear sky or scattering atmosphere, but also to retrieve aerosol parameters. Therefore, this paper is dedicated to an Information Content (IC) analysis of potential synergy between thermal infrared, shortwave infrared and visible, in order to obtain a more accurate retrieval of gas and aerosol. The latter is based on Shannon theory and used a sophisticated radiative transfer algorithm developed at "Laboratoire d'Optique Atmosphérique", dealing with multiple scattering. This forward model can be relied to an optimal estimation method, which allows simultaneously retrieving gases profiles and aerosol granulometry and concentration. The analysis of the information provided by the spectral synergy is based on climatology of dust, volcanic ash and biomass burning aerosols. This work was conducted in order to develop a powerful tool that allows retrieving simultaneously not only the gas concentrations but also the aerosol characteristics by selecting the so called "best channels", i.e. the channels that bring most of the information concerning gas and aerosol. The methodology developed in this paper could also be used to define the specifications of future high spectral resolution mission to reach a given accuracy on retrieved parameters.
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Purves, R. S., and M. Sanderson. "A methodology to allow avalanche forecasting on an information retrieval system." Journal of Documentation 54, no. 2 (May 1998): 198–209. http://dx.doi.org/10.1108/eum0000000007166.
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Vershinin, V. I. "Methodology of computer-assisted identification of substances using information retrieval systems." Journal of Analytical Chemistry 55, no. 5 (May 2000): 417–25. http://dx.doi.org/10.1007/bf02757475.
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Lou, Wen, and Junping Qiu. "Semantic information retrieval research based on co-occurrence analysis." Online Information Review 38, no. 1 (January 8, 2014): 4–23. http://dx.doi.org/10.1108/oir-11-2012-0203.
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Purpose – The paper aims to develop a new method for potential relations retrieval. It aims to find common aspects between co-occurrence analysis and ontology to build a model of semantic information retrieval based on co-occurrence analysis. Design/methodology/approach – This paper used a literature review, co-occurrence analysis, ontology build and other methods to design a model and process of semantic information retrieval based on co-occurrence analysis. Archaeological data from Wuhan University Library's bibliographic retrieval systems was used for experimental analysis. Findings – The literature review found that semantic information retrieval research mainly concentrates on ontology-based query techniques, semantic annotation and semantic relation retrieval. Moreover most recent systems can only achieve obvious relations retrieval. Ontology and co-occurrence analysis have strong similarities in theoretical ideas, data types, expressions, and applications. Research limitations/implications – The experiment data came from a Chinese university which perhaps limits its usefulness elsewhere. Practical implications – This paper constructed a model to understand potential relations retrieval. An experiment proved the feasibility of co-occurrence analysis used in semantic information retrieval. Compared with traditional retrieval, semantic information retrieval based on co-occurrence analysis is more user-friendly. Originality/value – This study is one of the first to combine co-occurrence analysis with semantic information retrieval to find detailed relationships.
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Melucci, Massimo, and Nicola Orio. "Combining melody processing and information retrieval techniques: Methodology, evaluation, and system implementation." Journal of the American Society for Information Science and Technology 55, no. 12 (2004): 1058–66. http://dx.doi.org/10.1002/asi.20058.
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Subasic, Anthony, Estelle Perrin, and Frederic Danesi. "Towards a Computer-Based Information Retrieval Systems Process." Applied Mechanics and Materials 411-414 (September 2013): 82–85. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.82.
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This paper presents the first definition of a methodology to analyze, design and evaluate information retrieval systems. We do not address the search engines themselves, but we discuss the computer human interaction implied. We show the need to introduce the user point-of-view in each interaction, and demonstrate the usage of trade oriented knowledge. We argue that, despite the inherent quality of the search engine, the human interface should be considered as the critical part of any system. Information Search Processes must evolve to include a computer-human interaction approach.
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Norouzi, Yaghoub, and Hoda Homavandi. "Image search and retrieval problems in web search engines." Online Information Review 42, no. 6 (October 8, 2018): 752–67. http://dx.doi.org/10.1108/oir-01-2017-0007.
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PurposeThe purpose of this paper is to investigate image search and retrieval problems in selected search engines in relation to Persian writing style challenges.Design/methodology/approachThis study is an applied one, and to answer the questions the authors used an evaluative research method. The aim of the research is to explore the morphological and semantic problems of Persian language in connection with image search and retrieval among the three major and widespread search engines: Google, Yahoo and Bing. In order to collect the data, a checklist designed by the researcher was used and then the data were analyzed by descriptive and inferential statistics.FindingsThe results indicate that Google, Yahoo and Bing search engines do not pay enough attention to morphological and semantic features of Persian language in image search and retrieval. This research reveals that six groups of Persian language features include derived words, derived/compound words, Persian and Arabic Plural words, use of dotted T and the use of spoken language and polysemy, which are the major problems in this area. In addition, the results suggest that Google is the best search engine of all in terms of compatibility with Persian language features.Originality/valueThis study investigated some new aspects of the above-mentioned subject through combining morphological and semantic aspects of Persian language with image search and retrieval. Therefore, this study is an interdisciplinary research, the results of which would help both to offer some solutions and to carry out similar research on this subject area. This study will also fill a gap in research studies conducted so far in this area in Farsi language, especially in image search and retrieval. Moreover, findings of this study can help to bridge the gap between the user’s questions and search engines (systems) retrievals. In addition, the methodology of this paper provides a framework for further research on image search and retrieval in databases and search engines.
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Bergman, Ofer, Steve Whittaker, and Yaron Frishman. "Let’s get personal: the little nudge that improves document retrieval in the Cloud." Journal of Documentation 75, no. 2 (March 6, 2019): 379–96. http://dx.doi.org/10.1108/jd-06-2018-0098.
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Purpose State-of-the-art cloud applications are problematic for collaborative document management; their current design does not encourage active personal folder categorization. Cloud applications such as Google Drive and Microsoft’s OneDrive store documents automatically, so at no point are users directed to categorize them by placing them in folders. To encourage active categorization and promote effective retrieval of cloud documents, the authors designed an add-on “nudge” called Personal Organizer which prompts Google Drive users to categorize by storing cloud documents in personal folders. The add-on prompt is triggered when users attempt to close uncategorized or unnamed documents. The purpose of this paper is to test whether using the Personal Organizer add-on leads participants to actively store their documents in folders that they personally created, and whether this promotes more successful and efficient retrieval. Design/methodology/approach To test the add-on, the authors conducted a pretest-manipulation-post-test intervention study with 34 participants lasting over three months. In both tests, participants were asked to retrieve personal documents taken from their own “Recents” list to improve ecological validity. Findings Using our add-on doubled the percentage of documents that were actively stored in folders. Additionally, using personally created folders substantially improved retrieval success while decreasing retrieval time. Originality/value Implementing our findings can improve document storage and retrieval for millions of users of collaborative cloud storage. The authors discuss broader theoretical implications concerning the role of active organization for retrieval in collaborative repositories, as well as design implications.
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Islam, Anwarul, and K. C. Panda. "Web‐based information retrieval trends of researchers." Electronic Library 25, no. 6 (November 20, 2007): 757–65. http://dx.doi.org/10.1108/02640470710837173.
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PurposeThe purpose of the study is to find out the trends of web‐based information seekers at Sambalpur University, India since the internet is more helpful than the library in the present electronic era.Design/methodology/approachThe study is based on the case study method. A structured questionnaire was distributed among the relevant researchers at Sambalpur University in order to ascertain their web searching habits.FindingsThe application of is ever increasing – to the extent that people believe that electronic material will eventually replace the traditional library and users need not go there to find and collect the information they need. The study revealed, however, that in one Indian university, traditional library and printed materials are still more effective to researchers than web‐based information and resources.Originality/valueThis is an original case study on web‐based information retrieval trends of university researchers. This paper will help web researchers to obtain a clear‐cut picture of the information seeking and retrieval trends of the researchers of an Indian university which will serve as a role model for the universities of the Third World.
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Montefinese, Maria, Glyn Hallam, Hannah Elizabeth Thompson, and Elizabeth Jefferies. "The interplay between control processes and feature relevance: Evidence from dual-task methodology." Quarterly Journal of Experimental Psychology 73, no. 3 (September 25, 2019): 384–95. http://dx.doi.org/10.1177/1747021819877163.
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Neuropsychological studies suggest a distinction between (a) semantic knowledge and (b) control processes that shape the retrieval of conceptual information to suit the task or context. These aspects of semantic cognition are specifically impaired in patients with semantic dementia and semantic aphasia, respectively. However, interactions between the structure of knowledge and control processes that are expected during semantic retrieval have not been fully characterised. In particular, domain-general executive resources may not have equal relevance for the capacity to promote weak yet task relevant features (i.e., “controlled retrieval) and to ignore or suppress distracting information (i.e., “selection”). Here, using a feature selection task, we tested the contribution of featural relevance to semantic performance in healthy participants under conditions of divided attention. Healthy participants showed greater dual-task disruption as the relevance value of the distractor feature linearly increased, supporting the emerging view that semantic relevance is one of the organising principles of the structure of semantic representation. Moreover, word frequency, and inter-correlational strength affected overall performance, but they did not show an interaction with dual-task conditions. These results suggest that domain-general control processes, disrupted by divided attention, are more important to the capacity to efficiently avoid distracting information during semantic decision-making than to the promotion of weak target features. The present study therefore provides novel information about the nature of the interaction between structured conceptual knowledge and control processes that support the retrieval of appropriate information and relates these results to a new theoretical framework, termed controlled semantic cognition.
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Quan, Tho Thanh, Xuan H. Luong, Thanh C. Nguyen, and Hui Siu Cheung. "Argumentation-based schema matching for multiple digital libraries." Online Information Review 39, no. 1 (February 9, 2015): 81–103. http://dx.doi.org/10.1108/oir-02-2014-0023.
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Purpose – Most digital libraries (DL) are now available online. They also provide the Z39.50 standard protocol which allows computer-based systems to effectively retrieve information stored in the DLs. The major difficulty lies in inconsistency between database schemas of multiple DLs. The purpose of this paper is to present a system known as Argumentation-based Digital Library Search (ADLSearch), which facilitates information retrieval across multiple DLs. Design/methodology/approach – The proposed approach is based on argumentation theory for schema matching reconciliation from multiple schema matching algorithms. In addition, a distributed architecture is proposed for the ADLSearch system for information retrieval from multiple DLs. Findings – Initial performance results are promising. First, schema matching can improve the retrieval performance on DLs, as compared to the baseline technique. Subsequently, argumentation-based retrieval can yield better matching accuracy and retrieval efficiency than individual schema matching algorithms. Research limitations/implications – The work discussed in this paper has been implemented as a prototype supporting scholarly retrieval from about 800 DLs over the world. However, due to complexity of argumentation algorithm, the process of adding new DLs to the system cannot be performed in a real-time manner. Originality/value – In this paper, an argumentation-based approach is proposed for reconciling the conflicts from multiple schema matching algorithms in the context of information retrieval from multiple DL. Moreover, the proposed approach can also be applied for similar applications which require automatic mapping from multiple database schemas.
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Lee, Jaewoong, and InHwan Sul. "Construction of garment pattern shape information system using image analysis and shape recognition techniques." International Journal of Clothing Science and Technology 28, no. 4 (August 1, 2016): 543–55. http://dx.doi.org/10.1108/ijcst-10-2015-0114.
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Purpose – As an extended work of the previous paper (Sul, 2010), this paper provides a guideline information for an anonymous garment pattern in sewing process. The purpose of this paper is to first, provide garment pattern database. By simply taking pictures of garment patterns, the shape database is constructed. Once the shape database is prepared, data retrieval can be done by image indexing, i.e., simply inserting garment pattern boundary shape again to the database. Using shock graph methodology, the pattern sets used for database preparation can be exactly retrieved. Second, to find the nearest shape of a given input pattern shape in the database. If the input garment pattern shape does not exist in the database, the shape matching algorithm provides the next similar pattern data. The user, who is assumed to be non-expert in garment sewing process, can easily predict the position and combination information of various patterns. Design/methodology/approach – Image processing is used to construct the garment pattern shape database. The boundary shapes are extracted from the photographs of garment patterns and their shape recognition information, especially shock graph, is also recorded for later pattern data retrieval. Findings – Using the image processing technique, garment patterns can be converted to electronic format easily. Also the prepared pattern database can be used for finding the nearest shape of an additional given input garment pattern. Patterns with irregular shapes were retrieved easily, while those with a simple shape, such as rectangle, showed a little erroneous result. Originality/value – Shape recognition has been adopted in various industrial areas, except for garment sewing process. Using the provided methodology, garment pattern shapes can be easily saved and retrieved only by taking pictures of them.
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Lau, B. T., and Y. C. Wang. "CONTENT-BASED SPATIAL QUERY RETRIEVAL." Journal of IT in Asia 2, no. 1 (April 26, 2016): 53–82. http://dx.doi.org/10.33736/jita.55.2007.
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Information acquisition with the availability of modern information technology has become easier. We rely on various information systems in our daily lives. Geographical information system and spatial query retrieval become more and more important in vehicle navigation, robot automation, and satellite signal processing. Spatial query is made easy with the handheld technology like PDA and sketching device. However powerful query methodology needs powerful retrieval techniques to produce the desired output. Content based spatial query retrieval is one of the best resorts for spatial query retrieval. Structural spatial query retrieval is in content based retrieval family that is also an active research area in spatial databases. Structural spatial query retrieval assesses similarity by its structural arrangement, known as configuration similarity. This research developed an enhanced structural spatial query retrieval model for spatial databases.
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Ménard, Elaine, and Vanessa Girouard. "Image retrieval with SINCERITY." OCLC Systems & Services: International digital library perspectives 31, no. 4 (November 9, 2015): 204–18. http://dx.doi.org/10.1108/oclc-09-2014-0032.
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Purpose – The purpose of this paper is to develop a search engine dedicated to image retrieval in a bilingual (French and English) context. This paper presents the first phase of user testing that was carried out to validate and refine SINCERITY, the new search device. Design/methodology/approach – This first phase of the search engine testing involved a small group of image searchers (10 French-speaking and 10 English-speaking participants) who were asked to retrieve a sample of images (30) using the new tool. A questionnaire was also developed to compile the comments of the users. Findings – The results of this first phase of testing revealed that even though image indexing was sometimes problematic, the participants did not encounter major difficulties retrieving images with SINCERITY. Comments and suggestions received will be taken into consideration to improve the performance and aesthetics of the search engine. Originality/value – Once fully operational, SINCERITY will allow users to search images in an attractive and user-friendly manner. Eventually, other types of images (documentary and artistic) will be added to the image database linked to the image search engine, as well as other languages.
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Trotman, Andrew, and Mounia Lalmas. "Report on the INEX 2005 workshop on element retrieval methodology." ACM SIGIR Forum 39, no. 2 (December 2005): 46–51. http://dx.doi.org/10.1145/1113343.1113355.
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Kerchner, Marcia D. "A Dynamic Methodology for Improving the Search Experience." Information Technology and Libraries 25, no. 2 (June 1, 2006): 78. http://dx.doi.org/10.6017/ital.v25i2.3334.
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In the early years of modern information retrieval, the fundamental way in which we understood and evaluated search performance was by measuring precision and recall. In recent decades, however, models of evaluation have expanded to incorporate the information-seeking task and the quality of its outcome, as well as the value of the information to the user. We have developed a systems engineering-based methodology for improving the whole search experience. The approach focuses on understanding users’ information-seeking problems, understanding who has the problems, and applying solutions that address these problems. This information is gathered through ongoing analysis of site-usage reports, satisfaction surveys, Help Desk reports, and a working relationship with the business owners.
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Stone, K., M. B. Tully, S. K. Rhodes, and R. Schofield. "A new Dobson Umkehr ozone profile retrieval method optimising information content and resolution." Atmospheric Measurement Techniques 8, no. 3 (March 4, 2015): 1043–53. http://dx.doi.org/10.5194/amt-8-1043-2015.
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Abstract. The standard Dobson Umkehr methodology to retrieve coarse-resolution ozone profiles used by the National Oceanographic and Atmospheric Administration uses designated solar zenith angles (SZAs). However, some information may be lost if measurements lie outside the designated SZA range (between 60° and 90°), or do not conform to the fitting technique. Also, while Umkehr measurements can be taken using multiple wavelength pairs (A, C and D), past retrieval methods have focused on a single pair (C). Here we present an Umkehr inversion method that uses measurements at all SZAs (termed operational) and all wavelength pairs. (Although, we caution direct comparison to other algorithms.) Information content for a Melbourne, Australia (38° S, 145° E) Umkehr measurement case study from 28 January 1994, with SZA range similar to that designated in previous algorithms is shown. When comparing the typical single wavelength pair with designated SZAs to the operational measurements, the total degrees of freedom (independent pieces of information) increases from 3.1 to 3.4, with the majority of the information gain originating from Umkehr layers 2 + 3 and 4 (10–20 km and 25–30 km respectively). In addition to this, using all available wavelength pairs increases the total degrees of freedom to 5.2, with the most significant increases in Umkehr layers 2 + 3 to 7 and 9+ (10–40 and 45–80 km). Investigating a case from 13 April 1970 where the measurements extend beyond the 90° SZA range gives further information gain, with total degrees of freedom extending to 6.5. Similar increases are seen in the information content. Comparing the retrieved Melbourne Umkehr time series with ozonesondes shows excellent agreement in layers 2 + 3 and 4 (10–20 and 25–30 km) for both C and A + C + D-pairs. Retrievals in layers 5 and 6 (25–30 and 30–35 km) consistently show lower ozone partial column compared to ozonesondes. This is likely due to stray light effects that are not accounted for in the forward model, and under represented stratospheric aerosol.
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Stone, K., M. B. Tully, S. K. Rhodes, and R. Schofield. "A new Dobson Umkehr ozone profile retrieval method optimising information content and resolution." Atmospheric Measurement Techniques Discussions 7, no. 8 (August 19, 2014): 8669–96. http://dx.doi.org/10.5194/amtd-7-8669-2014.
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Abstract. The standard Dobson Umkehr methodology to retrieve coarse resolution ozone profiles used by the National Oceanographic and Atmospheric Administration uses designated solar zenith angles (SZA). However, some information may be lost if measurements lie outside the designated SZA range (between 60 and 90°), or do not conform to the fitting technique. Also, while Umkehr measurements can be taken using multiple wavelength pairs (A, C, and D), past retrieval methods have focused on a single pair (C). Here we present an Umkehr inversion method that uses measurements at all SZAs and all wavelength pairs. (Although, we caution direct comparison to other algorithms.) Information content for a Melbourne, Australia (38° S, 145° E) Umkehr measurement case study from 28 January 1994, with SZA range similar to that designated in previous algorithms is shown. When comparing the typical single wavelength pair with designated SZAs to the raw measurements, the total degrees of freedom (independent pieces of information) increases from 3.1 to 3.4, with the majority of the information gain originating from Umkehr layers 2 + 3 and 4 (10–20 km and 25–30 km respectively). In addition to this, using all available wavelength pairs increases the total degrees of freedom to 5.2, with the most significant increases in Umkehr layers 2 + 3 to 7 and 9+ (10–40 km and 45–80 km). Investigating a case from 13 April 1970 where the measurements extend beyond the 90° SZA range gives an even further amount of information gain, with total degrees of freedom extending to 6.5. Similar increases are seen in the information content. Comparing the retrieved Melbourne Umkehr time-series with ozonesondes shows excellent agreement in layers 2 + 3 and 4 (10–20 km and 25–30 km) for both C and A + C + D-pairs. Retrievals in layers 5 and 6 (25–30 km and 30–35 km) consistently show lower ozone partial column compared to ozonesondes. This is likely due to and stray light effects that are not accounted for in the forward model, and under represented stratospheric aerosol.
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Murugan, A., D. Gobinath, S. Ganesh Kumar, B. Muruganantham, and Sarubala Velusamy. "A time efficient and accurate retrieval of range aggregate queries using fuzzy clustering means (FCM) approach." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (February 1, 2020): 415. http://dx.doi.org/10.11591/ijece.v10i1.pp415-420.
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Massive growth in the big data makes difficult to analyse and retrieve the useful information from the set of available data’s. Statistical analysis: Existing approaches cannot guarantee an efficient retrieval of data from the database. In the existing work stratified sampling is used to partition the tables in terms of static variables. However k means clustering algorithm cannot guarantees an efficient retrieval where the choosing centroid in the large volume of data would be difficult. And less knowledge about the static variable might leads to the less efficient partitioning of tables. Findings: This problem is overcome in the proposed methodology by introducing the FCM clustering instead of k means clustering which can cluster the large volume of data which are similar in nature. Stratification problem is overcome by introducing the post stratification approach which will leads to efficient selection of static variable. Improvements: This methodology leads to an efficient retrieval process in terms of user query within less time and more accuracy.</p>
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Yi, Myong-Ho. "Ontology Implementation and Methodology Revisited Using Topic Maps based Medical Information Retrieval System." Journal of the Korean Society for information Management 27, no. 3 (September 30, 2010): 35–51. http://dx.doi.org/10.3743/kosim.2010.27.3.035.
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Valencia-Garca, Rafael, Jesualdo Toms Fernndez-Breis, Juana Mara Ruiz-Martnez, Francisco Garca-Snchez, and Rodrigo Martnez-Bjar. "A knowledge acquisition methodology to ontology construction for information retrieval from medical documents." Expert Systems 25, no. 3 (July 2008): 314–34. http://dx.doi.org/10.1111/j.1468-0394.2008.00464.x.
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Hain, Christopher R., John R. Mecikalski, and Martha C. Anderson. "Retrieval of an Available Water-Based Soil Moisture Proxy from Thermal Infrared Remote Sensing. Part I: Methodology and Validation." Journal of Hydrometeorology 10, no. 3 (June 1, 2009): 665–83. http://dx.doi.org/10.1175/2008jhm1024.1.
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Abstract A retrieval of available water fraction ( fAW) is proposed using surface flux estimates from satellite-based thermal infrared (TIR) imagery and the Atmosphere–Land Exchange Inversion (ALEXI) model. Available water serves as a proxy for soil moisture conditions, where fAW can be converted to volumetric soil moisture through two soil texture dependents parameters—field capacity and permanent wilting point. The ability of ALEXI to provide valuable information about the partitioning of the surface energy budget, which can be largely dictated by soil moisture conditions, accommodates the retrieval of an average fAW over the surface to the rooting depth of the active vegetation. For this method, the fraction of actual to potential evapotranspiration ( fPET) is computed from an ALEXI estimate of latent heat flux and potential evapotranspiration (PET). The ALEXI-estimated fPET can be related to fAW in the soil profile. Four unique fPET to fAW relationships are proposed and validated against Oklahoma Mesonet soil moisture observations within a series of composite periods during the warm seasons of 2002–04. Using the validation results, the most representative of the four relationships is chosen and shown to produce reasonable (mean absolute errors values less than 20%) fAW estimates when compared to Oklahoma Mesonet observations. Quantitative comparisons between ALEXI and modeled fAW estimates from the Eta Data Assimilation System (EDAS) are also performed to assess the possible advantages of using ALEXI soil moisture estimates within numerical weather predication (NWP) simulations. This TIR retrieval technique is advantageous over microwave techniques because of the ability to indirectly sense fAW—and hence soil moisture conditions—extending into the root-zone layer. Retrievals are also possible over dense vegetation cover and are available on spatial resolutions on the order of the native TIR imagery. A notable disadvantage is the inability to retrieve fAW conditions through cloud cover.
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Saha, Tushar Kanti, and A. B. M. Shawkat Ali. "Domain Specific Custom Search for Quicker Information Retrieval." International Journal of Information Retrieval Research 3, no. 3 (July 2013): 26–39. http://dx.doi.org/10.4018/ijirr.2013070102.
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Recently researchers are using Google scholar widely to find out the research articles and the relevant experts in their domain. But it is unable to find out all experts in a relevant research area from a specific country by a quick search. Basically the custom search technique is not available in the current Google scholar’s setup. The authors have combined custom search with domain-specific search and named as domain specific custom search in this research. First time this research introduces a domain specific custom search technique using new search methodology called n-paged-m-items partial crawling algorithm. This algorithm is a real-time faster crawling algorithm due to the partial crawling technique. It does not store anything in the database, which can be shown later on to the user. The proposed algorithm is implemented on a new domain scholar.google.com to find out the scholars or experts quickly. Finally the authors observe the better performance of the proposed algorithm comparing with Google scholar.
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Thornley, Clare, and Forbes Gibb. "Meaning in philosophy and meaning in information retrieval (IR)." Journal of Documentation 65, no. 1 (January 16, 2009): 133–50. http://dx.doi.org/10.1108/00220410910926158.
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PurposeThe purpose of this paper is to explore the question of whether the differences between meaning in philosophy and meaning in information retrieval (IR) have implications for the use of philosophy in supporting research in IR.Design/methodology/approachThe approach takes the form of a conceptual analysis and literature review.FindingsThere are some differences in the role of meaning in terms of purpose, content and use which should be clarified in order to assist a productive relationship between the philosophy of language and IR.Research limitations/implicationsThis provides some new theoretical insights into the philosophical context of IR. It suggests that further productive work on the central concepts within IR could be achieved through the use of a methodology which analyses how exactly these concepts are discussed in other disciplines and the implications of any differences in the way in which they may operate in IR.Originality/valueThe paper suggests a new perspective on the relationship between philosophy and IR by exploring the role of meaning in these respective disciplines and highlighting differences, as well as similarities, with particular reference to the role of information as well as meaning in IR. This contributes to an understanding of two of the central concepts in IR, meaning and information, and the ways in which they are related. There is a history of work in IR and information science (IS) examining dilemmas and the paper builds on this work by relating it to some similar dilemmas in philosophy. Thus it develops the theory and conceptual understanding of IR by suggesting that philosophy could be used as a way of exploring intractable dilemmas in IR.
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BOURBAKIS, N., W. MENG, C. ZHANG, Z. WU, N. J. SALERNO, and S. BOREK. "RETRIEVAL OF MULTIMEDIA WEB DOCUMENTS AND REMOVAL OF REDUNDANT INFORMATION." International Journal on Artificial Intelligence Tools 08, no. 01 (March 1999): 19–42. http://dx.doi.org/10.1142/s0218213099000038.
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This paper describes a search engine for multimedia web documents and a methodology for removing (partially or totally) redundant information from multiple documents in an effort to synthesize new documents. In this paper, a typical multimedia document contains free text and images and additionally has associating well-structured data. An SQL-like query language, WebSSQL, is proposed to retrieve this type of documents. The main differences between WebSSQL and other proposed SQL extensions for retrieving web documents are that WebSSQL is similarity-based and supports conditions on images. This paper also deals with the detection and removal of redundant information (text paragraphs and images) from multiple retrieved documents. Documents reporting the same or related events and stories may contain substantial redundant information. The removal of the redundant information and the synthesis of these documents into a single document can not only save a user's time to acquire the information but also storage space to archive the data. The methodology reported here consists of techniques for analyzing text paragraphs and images as well as a set of similarity criteria used to detect redundant paragraphs and images. Examples are provided to illustrate these techniques.