Journal articles: 'Geographic Information Retrieval'

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Purves, Ross, and Christopher Jones. "Geographic Information Retrieval." SIGSPATIAL Special 3, no. 2 (July 2011): 2–4. http://dx.doi.org/10.1145/2047296.2047297.

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Cardoso, Nuno. "Evaluating Geographic Information Retrieval." SIGSPATIAL Special 3, no. 2 (July 2011): 46–53. http://dx.doi.org/10.1145/2047296.2047307.

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Purves, Ross, and Chris Jones. "Geographic Information Retrieval (GIR)." Computers, Environment and Urban Systems 30, no. 4 (July 2006): 375–77. http://dx.doi.org/10.1016/j.compenvurbsys.2005.12.001.

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Ahlers, Dirk. "Applying Geographic Information Retrieval." Datenbank-Spektrum 14, no. 1 (January 22, 2014): 39–46. http://dx.doi.org/10.1007/s13222-014-0148-z.

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TODA, Hiroyuki, Norihito YASUDA, Manabu OKUMURA, Yumiko MATSUURA, and Ryoji KATAOKA. "Snippet Generation for Geographic Information Retrieval." Transactions of the Japanese Society for Artificial Intelligence 24 (2009): 494–506. http://dx.doi.org/10.1527/tjsai.24.494.

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Lutz, M., and E. Klien. "Ontology‐based retrieval of geographic information." International Journal of Geographical Information Science 20, no. 3 (March 2006): 233–60. http://dx.doi.org/10.1080/13658810500287107.

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Schockaert, Steven. "Vague regions in Geographic Information Retrieval." SIGSPATIAL Special 3, no. 2 (July 2011): 24–28. http://dx.doi.org/10.1145/2047296.2047302.

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YASUDA, Norihito, and Hiroyuki TODA. "Geographic Information Retrieval for Just Your Surroundings." Transactions of the Japanese Society for Artificial Intelligence 23 (2008): 364–73. http://dx.doi.org/10.1527/tjsai.23.364.

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Leveling, Johannes, and Sven Hartrumpf. "On metonymy recognition for geographic information retrieval." International Journal of Geographical Information Science 22, no. 3 (March 2008): 289–99. http://dx.doi.org/10.1080/13658810701626244.

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Purves, Ross, and Chris Jones. "Workshop on geographic information retrieval, SIGIR 2004." ACM SIGIR Forum 38, no. 2 (December 2004): 53–56. http://dx.doi.org/10.1145/1041394.1041406.

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Johnson, David, and Myke Gluck. "Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space." Cartographic Perspectives, no. 26 (March 1, 1997): 13–26. http://dx.doi.org/10.14714/cp26.717.

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This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.

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Palacio, Damien, Guillaume Cabanac, Christian Sallaberry, and Gilles Hubert. "On the evaluation of Geographic Information Retrieval systems." International Journal on Digital Libraries 11, no. 2 (June 2010): 91–109. http://dx.doi.org/10.1007/s00799-011-0070-z.

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de Andrade, Fabio Gomes, Cláudio de Souza Baptista, and Clodoveu Augusto Davis. "Improving geographic information retrieval in spatial data infrastructures." GeoInformatica 18, no. 4 (January 19, 2014): 793–818. http://dx.doi.org/10.1007/s10707-014-0202-x.

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Bordogna, Gloria, Giorgio Ghisalberti, and Giuseppe Psaila. "Geographic information retrieval: Modeling uncertainty of user's context." Fuzzy Sets and Systems 196 (June 2012): 105–24. http://dx.doi.org/10.1016/j.fss.2011.04.005.

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Tulowiecki, Stephen J. "Information retrieval in physical geography." Progress in Physical Geography: Earth and Environment 42, no. 3 (April 29, 2018): 369–90. http://dx.doi.org/10.1177/0309133318770972.

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Information retrieval (IR) methods seek to locate meaningful documents in large collections of textual and other data. Few studies apply these techniques to discover descriptions in historical documents for physical geography applications. This absence is noteworthy given the use of qualitative historical descriptions in physical geography and the amount of historical documentation online. This study, therefore, introduces an IR approach for finding meaningful and geographically resolved historical descriptions in large digital collections of historical documents. Presenting a biogeography application, it develops a ‘search engine’ using a boosted regression trees (BRT) model to assist in finding forest compositional descriptions (FCDs) based on textual features in a collection of county histories. The study then investigates whether FCDs corroborate existing estimates of relative abundances and spatial distributions of tree taxa from presettlement land survey records (PLSRs) and existing range maps. The BRT model is trained using portions of text from 458 US county histories. Evaluating the model’s performance upon a spatially independent test dataset, the model helps discover 97.5% of FCDs while reducing the amount of text to search through to 0.3% of total. The prevalence rank of taxa in FCDs (i.e. the number of times a taxon is mentioned at least once in an FCD, divided by the total number of FCDs, then ranked) is strongly related to the abundance rank in PLSRs. Patterns in species mentions from FCDs generally match relative abundance patterns from PLSRs. However, analyses suggest that FCDs contain biases towards large and economically valuable tree taxa and against smaller taxa. In the end, the study demonstrates the potential of IR approaches for developing novel datasets over large geographic areas, corroborating existing historical datasets, and providing spatial coverage of historic phenomena.

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Smits, Jan. "Can a Map Be a Geographic Information Retrieval Tool?" LIBER Quarterly 10, no. 4 (July 14, 2000): 504. http://dx.doi.org/10.18352/lq.7622.

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Purves, Ross, and Chris Jones. "Workshop on geographic information retrieval held at SIGIR'06." ACM SIGIR Forum 40, no. 2 (December 2006): 40–41. http://dx.doi.org/10.1145/1189702.1189708.

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van Kreveld, Marc, Iris Reinbacher, Avi Arampatzis, and Roelof van Zwol. "Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval*." GeoInformatica 9, no. 1 (March 2005): 61–84. http://dx.doi.org/10.1007/s10707-004-5622-6.

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Han, Z., C. Cui, Y. Kong, and H. Wu. "Geographic Video 3d Data Model And Retrieval." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 75–80. http://dx.doi.org/10.5194/isprsarchives-xl-4-75-2014.

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Geographic video includes both spatial and temporal geographic features acquired through ground-based or non-ground-based cameras. With the popularity of video capture devices such as smartphones, the volume of user-generated geographic video clips has grown significantly and the trend of this growth is quickly accelerating. Such a massive and increasing volume poses a major challenge to efficient video management and query. Most of the today’s video management and query techniques are based on signal level content extraction. They are not able to fully utilize the geographic information of the videos. This paper aimed to introduce a geographic video 3D data model based on spatial information. The main idea of the model is to utilize the location, trajectory and azimuth information acquired by sensors such as GPS receivers and 3D electronic compasses in conjunction with video contents. The raw spatial information is synthesized to point, line, polygon and solid according to the camcorder parameters such as focal length and angle of view. With the video segment and video frame, we defined the three categories geometry object using the geometry model of OGC Simple Features Specification for SQL. We can query video through computing the spatial relation between query objects and three categories geometry object such as VFLocation, VSTrajectory, VSFOView and VFFovCone etc. We designed the query methods using the structured query language (SQL) in detail. The experiment indicate that the model is a multiple objective, integration, loosely coupled, flexible and extensible data model for the management of geographic stereo video.

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Ashwaq Maghraby, Ashwaq Maghraby. "Geographic Information System Based on Mobile Agent and Ontology." journal of King Abdulaziz University Engineering Sciences 23, no. 1 (January 8, 2012): 39–57. http://dx.doi.org/10.4197/eng.23-1.3.

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A Geographic Information System (GIS) is an important distributed information resource. GIS technology is being utilized in many areas of research. Based on the concept of agent, we introduce a multi-agent architecture to develop a GIS Multi-Agent System based on Ontology (GISMAO) that enables cooperation to assist different users to locate and retrieve spatial GIS file information in large networks based on ontological relationship between GIS concepts. GISMAO consists of two subsystems: Gathering subsystem; and Query subsystem. The Gathering Sub-System is used to collect spatial GIS files information from remote locations, and to store them in the server. Ontology is used to represent concepts and relations that are common concepts in the domain. The Query Sub-System is used to help the user in his/her daily work with the GIS; it works as a GIS retrieval (query) tool. The objective of this system is to demonstrate how the agents can cooperate to transparently locate and retrieve GIS information. To prove the concept, a partial implementation of this framework has been carried out using some modules and libraries of Java, Aglet, Jena and AltovaXML.

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Zeniarja, Junta, Ardytha Luthfiarta, and Catur Supriyanto. "Naive Bayes Classifier Based Geographic Information System for University Search Information." Journal of Applied Intelligent System 2, no. 2 (August 3, 2018): 73–79. http://dx.doi.org/10.33633/jais.v2i2.1587.

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Information about the geographical location of universities is necessary for graduates of Senior High School who want to continue their education to a university. Most of the graduate students do not know the location of the universities since the geographical location of Google Maps is less clear and less precise. Therefore, the application of Geographic Information Systems (GIS) based on Information Retrieval (IR) is expected to facilitate the graduate students to know the exact location of the university. In this paper, IR-based GIS application is developed by using web programming. The web is used as a search engine when someone wants to find a college. The application shows the map and information of the college in the area according to the query of the user. Naive Bayes algorithm is used to classify the user query and locate the query on the map. Based on our prototype, the application is promising to be implemented for the student.

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Fang, Caili, and Shuliang Zhang. "Geographic Information Retrieval Method for Geography Mark-Up Language Data." ISPRS International Journal of Geo-Information 7, no. 3 (March 9, 2018): 89. http://dx.doi.org/10.3390/ijgi7030089.

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Purificato, Erasmo, and Antonio M. Rinaldi. "Multimedia and geographic data integration for cultural heritage information retrieval." Multimedia Tools and Applications 77, no. 20 (April 3, 2018): 27447–69. http://dx.doi.org/10.1007/s11042-018-5931-7.

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Han, Zhigang, Caihui Cui, Yunfeng Kong, Fen Qin, and Pinde Fu. "Video Data Model and Retrieval Service Framework Using Geographic Information." Transactions in GIS 20, no. 5 (December 28, 2015): 701–17. http://dx.doi.org/10.1111/tgis.12175.

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Moura, Tiago H. V. M., Clodoveu A. Davis, and Frederico T. Fonseca. "Reference data enhancement for geographic information retrieval using linked data." Transactions in GIS 21, no. 4 (November 2, 2016): 683–700. http://dx.doi.org/10.1111/tgis.12238.

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Wu, Hua, and Wangmin Ying. "Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data." Remote Sensing 11, no. 21 (October 28, 2019): 2520. http://dx.doi.org/10.3390/rs11212520.

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Net surface shortwave radiation (NSSR) is one of the most important fundamental parameters in various land processes. Benefiting from its efficient nonlinear fitting ability, machine learning algorithms have a great potential in the retrieval of NSSR. However, few studies have explored the level of accuracy that machine learning algorithms can reach for different land covers on the worldwide scale and what the optimal independent variables are in the machine learning-based NSSR model. To guide the use of machine learning algorithms correctly in the retrieval of NSSR, it is necessary to give a comprehensive analysis from algorithm complexity, accuracy, and other aspects. In this study, three classic machine learning algorithms, including Random Forest (RF), Artificial Neural Network (ANN), and Support Vector Regression (SVR), were built well to estimate instantaneous NSSR with optimal hyperparameters by elaborately selecting different independent variables, including top of atmosphere (TOA) channel spectral reflectance, geographic parameters, surface information, and atmosphere conditions. Global FLUXNET in situ measurements throughout 2014 were used to validate the accuracies of retrieved NSSR over various land cover types. The root mean square error (RMSE) is below 55 W/m2, and the distributions of error histogram are also similar. Approximately 50% of absolute error were within 25 W/m2. There was a performance difference of NSSR estimations in various surface types, and the performance of three machine learning methods in a specific surface type was also different. However, the RF method may be considered as the optimal methodology to retrieve NSSR from MODIS data, owing to its relatively better precision and concise hyperparameter-tuned process. The importance analysis of the proposed independent variables of NSSR retrieval shows that the introduction of geographic information can effectively reduce the error of NSSR retrieval, and surface information and atmosphere information are not necessary. It was also found that a combination of geographic information and blue band TOA reflectance already have a pretty good accuracy in NSSR retrieval, which implies there is a possibility to transfer our NSSR model to other satellite sensors, especially with insufficient channels. In a word, the NSSR model with machine learning algorithms would be an efficient, concise, and general method in the future.

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Sun, Xia, Li, Shen, and Liu. "A Semantic Expansion Model for VGI Retrieval." ISPRS International Journal of Geo-Information 8, no. 12 (December 17, 2019): 589. http://dx.doi.org/10.3390/ijgi8120589.

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OpenStreetMap (OSM) is a representative volunteered geographic information (VGI) project. However, there have been difficulties in retrieving spatial information from OSM. Ontology is an effective knowledge organization and representation method that is often used to enrich the search capabilities of search systems. This paper constructed an OSM ontology model with semantic property items. A query expansion method is also proposed based on the similarity of properties of the ontology model. Moreover, a relevant experiment is conducted using OSM data related to China. The experimental results demonstrate that the recall and precision of the proposed method reach 80% and 87% for geographic information retrieval, respectively. This study provides a method that can be used as a reference for subsequent research on spatial information retrieval.

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Tsou, Ming-Cheng. "Geographic Information Retrieval and Text Mining on Chinese Tourism Web Pages." International Journal of Information Technology and Web Engineering 5, no. 1 (January 2010): 56–75. http://dx.doi.org/10.4018/jitwe.2010010104.

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The World Wide Web (WWW) offers an enormous wealth of information and data, and assembles a tremendous amount of knowledge. Much of this knowledge, however, comprises either non-structured data or semistructured data. To make use of these unexploited or underexploited resources more efficiently, the management of information and data gathering has become an essential task for research and development. In this paper, the author examines the task of researching a hostel or homestay using the Google search web service as a base search engine. From the search results, mining, retrieving and sorting out location and semantic data were carried out by combining the Chinese Word Segmentation System with text mining technology to find geographic information gleaned from web pages. The results obtained from this particular searching method allowed users to get closer to the answers they sought and achieve greater accuracy, as the results included graphics and textual geographic information. In the future, this method may be suitable for and applicable to various types of queries, analyses, geographic data collection, and in managing spatial knowledge related to different keywords within a document.

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Purves, Ross S., Paul Clough, Christopher B. Jones, Mark H. Hall, and Vanessa Murdock. "Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text." Foundations and Trends® in Information Retrieval 12, no. 2-3 (2018): 164–318. http://dx.doi.org/10.1561/1500000034.

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Řezník, Tomáš. "Geographic information in the age of the INSPIRE Directive: discovery, download and use for geographical research." Geografie 118, no. 1 (2013): 77–93. http://dx.doi.org/10.37040/geografie2013118010077.

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This article describes the concept and impacts of dealing with geographic information according to the Directive on INfrastructure for SPatial InfoRmation in Europe: INSPIRE. A brief introduction contains the scope and aims of this infrastructure and is supported by a section on legislative background at both the European and Czech levels. All components of the European infrastructure are analysed sequentially, i.e. starting with metadata, network services, data sharing, monitoring and reporting. The main focus of the article is aimed at the issues of geographic data interoperability and harmonization through application schemas. Unique identifiers, voidable elements, reference systems, temporal representations, quality of geographic data, encoding and visualisation are then subjected to deeper analysis. The concept of INSPIRE is presented in a model case of searching for cross-border geographic data using the INSPIRE geoportal, its preview in a Geographic Information System and its retrieval.

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Brisaboa, Nieves R., Miguel R. Luaces, Ángeles S. Places, and Diego Seco. "Exploiting geographic references of documents in a geographical information retrieval system using an ontology-based index." GeoInformatica 14, no. 3 (January 30, 2010): 307–31. http://dx.doi.org/10.1007/s10707-010-0106-3.

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De Sabbata, Stefano, Stefano Mizzaro, and Tumasch Reichenbacher. "Geographic dimensions of relevance." Journal of Documentation 71, no. 4 (July 13, 2015): 650–66. http://dx.doi.org/10.1108/jd-12-2013-0167.

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Purpose – The purpose of this paper is to discuss the emerging geographic features of current concepts of relevance, and to improve, modify, and extend the framework proposed by Mizzaro (1998). The objective is to define a new framework able to account, more completely and precisely, for the notions of relevance involved in mobile information seeking scenarios. Design/methodology/approach – The authors formalise two new dimensions of relevance. The first dimension emphasises the spatio-temporal nature of the information seeking process. The second dimension allows us to describe how different concepts of relevance rely on different abstractions of reality. Findings – The new framework allows: to conceptualise the point in space and time at which a given notion of relevance refers to; to conceptualise the level of abstraction taken into account by a given notion of relevance; and to include widely adopted facets (e.g. users mobility, preferences, and social context) in the classification of notions of relevance. Originality/value – The conceptual discussion presented in this paper contributes to the future development of relevance in the scope of mobile information seeking scenarios. The authors provide a more comprehensive framework for conceptualization, development, and classification of notions of relevance in the field of information retrieval and location-based services.

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Hepburn, Peter, and Joan B. Fiscella. "Constructing Descriptive Records for an Art Image Database: What Do Use Statistics Tell Us?" College & Research Libraries 67, no. 4 (July 1, 2006): 334–53. http://dx.doi.org/10.5860/crl.67.4.334.

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The study compares three sample sets of records taken from the AMICO database to examine possible factors influencing retrieval of images: named artist and artist reputation, word count, and record richness. The authors found that images of works by renowned artists tended to show high numbers of retrievals. When works depicted were by relatively unknown or anonymous artists, more retrievals were likely if accompanying records included higher unique word counts. The frequency of first occurrences of name, geographic, and time terms in the records showed no major differences among the three sets. The authors suggest a strategy for constructing image records.

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Mata-Rivera, Felix, Miguel Torres-Ruiz, Giovanni Guzmán, Marco Moreno-Ibarra, and Rolando Quintero. "A collaborative learning approach for geographic information retrieval based on social networks." Computers in Human Behavior 51 (October 2015): 829–42. http://dx.doi.org/10.1016/j.chb.2014.11.069.

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Jiang, J. W., J. W. Li, J. S. Wei, and Z. P. Su. "INTELLIGENT SERVICE PUSH METHOD BASED ON ACTIVE GEOGRAPHIC PERCEPTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 245–48. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-245-2020.

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Abstract. In view of the lack of consideration of user behavior motives in traditional personalized precision service systems, the accuracy of service content is not high.In order to solve this problem, research on personalized accurate service push method based on active geographic perception. By constructing a geographic feature information model, get the characteristics of the user's destination in real time, and then infer the user's behavioral motivation. Focusing on active geographic awareness technology and personalized precision service methods, the concept, principle, process and key technologies of active geographic sensing are studied, determined the main research content of active geographic perception and the relationship. Then analyze and discuss the construction method of active geographic awareness architecture, developed a geographic feature content system and studied its extraction and weight calculation methods. By the way, according to the characteristics of active geo-sensing, an active awareness API conforming to high efficiency and real-time is designed. Then explored the personalized accurate service push method based on active geographic perception,designed three processes of geographic awareness, service retrieval and service push, a service retrieval and delivery method is proposed. Finally, a personalized precise service system based on active geographical perception is designed. By adding geographic features to the personalized precision service, it can make up for the lack of service personalization and lack of precision caused by ignoring user motivation, which provides a new idea for more accurate and personalized service push.

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Chen, Hsinchun, Terence R. Smith, Mary L. Larsgaard, Linda L. Hill, and Marshall Ramsey. "A geographic knowledge representation system for multimedia geospatial retrieval and analysis." International Journal on Digital Libraries 1, no. 2 (September 1997): 132–52. http://dx.doi.org/10.1007/s007990050010.

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Abdelmoty, Alia I., Philip D. Smart, Christopher B. Jones, Gaihua Fu, and David Finch. "A critical evaluation of ontology languages for geographic information retrieval on the Internet." Journal of Visual Languages & Computing 16, no. 4 (August 2005): 331–58. http://dx.doi.org/10.1016/j.jvlc.2004.11.001.

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Lee, Seok-Cheol, and Chang-Soo Kim. "Development of User Oriented Geographic Information Retrieval Service Module Based on Personalized Service." Journal of the Korean Association of Geographic Information Studies 14, no. 1 (March 31, 2011): 49–58. http://dx.doi.org/10.11108/kagis.2011.14.1.049.

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Mountain, David, and Andrew MacFarlane. "Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals." Journal of Information Science 33, no. 5 (April 10, 2007): 515–30. http://dx.doi.org/10.1177/0165551506075333.

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Koswatte, Saman, Kevin McDougall, and Xiaoye Liu. "Relevance Assessment of Crowdsourced Data (CSD) Using Semantics and Geographic Information Retrieval (GIR) Techniques." ISPRS International Journal of Geo-Information 7, no. 7 (June 29, 2018): 256. http://dx.doi.org/10.3390/ijgi7070256.

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Gao, Yong, Dan Jiang, Xiang Zhong, and Jingyi Yu. "A Point-Set-Based Footprint Model and Spatial Ranking Method for Geographic Information Retrieval." ISPRS International Journal of Geo-Information 5, no. 7 (July 15, 2016): 122. http://dx.doi.org/10.3390/ijgi5070122.

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Brown, Ian. "Developing a Virtual Reality User Interface (VRUI) for Geographic Information Retrieval on the Internet." Transactions in GIS 3, no. 3 (June 1999): 207–20. http://dx.doi.org/10.1111/1467-9671.00018.

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Adab, Hamed, Renato Morbidelli, Carla Saltalippi, Mahmoud Moradian, and Gholam Abbas Fallah Ghalhari. "Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data." Water 12, no. 11 (November 17, 2020): 3223. http://dx.doi.org/10.3390/w12113223.

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Soil moisture is an integral quantity parameter in hydrology and agriculture practices. Satellite remote sensing has been widely applied to estimate surface soil moisture. However, it is still a challenge to retrieve surface soil moisture content (SMC) data in the heterogeneous catchment at high spatial resolution. Therefore, it is necessary to improve the retrieval of SMC from remote sensing data, which is important in the planning and efficient use of land resources. Many methods based on satellite-derived vegetation indices have already been developed to estimate SMC in various climatic and geographic conditions. Soil moisture retrievals were performed using statistical and machine learning methods as well as physical modeling techniques. In this study, an important experiment of soil moisture retrieval for investigating the capability of the machine learning methods was conducted in the early spring season in a semi-arid region of Iran. We applied random forest (RF), support vector machine (SVM), artificial neural network (ANN), and elastic net regression (EN) algorithms to soil moisture retrieval by optical and thermal sensors of Landsat 8 and knowledge of land-use types on previously untested conditions in a semi-arid region of Iran. The statistical comparisons show that RF method provided the highest Nash–Sutcliffe efficiency value (0.73) for soil moisture retrieval covered by the different land-use types. Combinations of surface reflectance and auxiliary geospatial data can provide more valuable information for SMC estimation, which shows promise for precision agriculture applications.

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Chen, Shuang Yu, Hai Hui Wang, Yun Lun Xiang, and Qing Chen. "Research on Information Retrieval System of Typhoon Based on ArcGIS Server." Applied Mechanics and Materials 668-669 (October 2014): 1297–305. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1297.

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At the information age, the traditional GIS has already can't satisfy people's demand for real-time access to geographic information, such as typhoon weather phenomenon change at any time. Based on ArcGIS Server platform and Java technology, the typhoon information query system of B/S architecture has been designed. The system can complete the space mapping service release and attribute information query, spatial orientation, motion path of dynamic display, for the typhoon weather forecasters and the public provide real-time access information query platform. At the same time, aiming at common bottlenecks in Web GIS application, the paper puts forward the optimization of the data and the establishment of cache. Experiments show that these two methods in reading speed and response speed figure have improved significantly.

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Ng, S. M. Y., O. W. H. Wai, Y. S. Li, Z. H. Xu, H. L. Chen, and Z. L. Li. "Development of a GIS for managing dynamic, 3D coastal information of Pearl River Estuary." Journal of Hydroinformatics 9, no. 3 (July 1, 2007): 215–32. http://dx.doi.org/10.2166/hydro.2007.021.

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A geographic information system (GIS) was developed for retrieval and display of hydrodynamic and water quality data. To establish such a system, two of the most important challenges are: (1) to establish a rigorous model which captures the three-dimensional and continuously changing characteristics of marine data and (2) to develop interpolation techniques to accommodate for the temporally and spatially scattered distribution of collected data. The developed system not only bridges together a GIS and a database of various physical, chemical and biological geographically based data for efficient retrieval and management of information, but also incorporates advanced display tools designed specifically for marine data. The initial intention of extending GIS for marine application is to mitigate the deteriorating water quality situation in the Pearl River Estuary (PRE).

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Ayiku, Lynda, and Amy Finnegan. "OP23 Smart Searches For Context-Sensitive Topics: Geographic Search Filters." International Journal of Technology Assessment in Health Care 35, S1 (2019): 5. http://dx.doi.org/10.1017/s0266462319000953.

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IntroductionSome systematic review topics are context-sensitive and informed by evidence about a specific geographic setting. Smart information retrieval methods are required to identify such evidence in an efficient manner. This presentation will discuss how validated geographic search filters enable smart literature searching for context-sensitive reviews using the National Institute for Health and Care Excellence (NICE) United Kingdom (UK) filters for MEDLINE and Embase (OVID) as examples. The NICE UK filters were developed in 2016. The filters demonstrated high recall and high precision, however, further research was required to confirm these results.MethodsIn 2018, the filters’ recall of references from 100 UK-based multidisciplinary reviews was calculated. Reproducible search strategies were identified from twenty-six of the 100 reviews in MEDLINE and from nine reviews in Embase. From this, the precision and number-needed-to-read (NNR) were calculated.ResultsThe MEDLINE filter achieved 96 percent recall (1401 out of 1454 UK references), 2.1 percent precision and a NNR of forty-seven. The Embase filter achieved 97 percent recall (1520 out of 1560 UK references), 0.7 percent precision and a NNR of 146. Compared to not using a filter, the MEDLINE and Embase filters reduced the number of search results by an average of 87 percent and 80 percent, respectively.ConclusionsThe filters retrieve the majority of evidence for UK topics while reducing search result volumes and so enable smart literature searching for context-sensitive topics. Large literature search result volumes can increase development time-frames for systematic reviews. Using the filters can therefore save time for reviews with a UK focus. There are currently two other validated geographic search filters for Africa and Spain. It is hoped that the NICE UK filters’ successful retrieval performance will encourage the development of validated search filters for more geographic regions.

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Nys, G. A., J. P. Kasprzyk, P. Hallot, and R. Billen. "A SEMANTIC RETRIEVAL SYSTEM IN REMOTE SENSING WEB PLATFORMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1593–99. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1593-2019.

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Abstract. This paper proposes a solution to reduce the semantic gap between final users and data/processing providers in a web market place dedicated to remote sensing products. Nowadays, search engine are common tools on the Internet. Users are accustomed to use them and used to get tabular classification of provided answers. These smart agents are set up to answer basic questions using automatic pages redirection or chitchat. In this research, to ensure coherence between user’s requests and platform answers, natural language processing algorithms and knowledge graphs are integrated within a web platform thanks to a NoSQL graph database connected to open thesauri and Geographic Information Systems (GIS). Therefore, the most pertinent services can be proposed based on input sentences including non-technical vocabulary but also geographical components (the user interface includes a text area and an interactive map). While processing chains and remote sensing ontologies were presented in one of our previous studies, this article focuses on natural languages algorithms and knowledge mining.

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Bruggmann, André, Sara I. Fabrikant, and Ross S. Purves. "How Can Geographic Information in Text Documents be Visualized to Support Information Exploration in the Humanities?" International Journal of Humanities and Arts Computing 14, no. 1-2 (March 2020): 98–118. http://dx.doi.org/10.3366/ijhac.2020.0247.

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Finding and selecting interesting and relevant information in large online digital text archives can be challenging. We tackle this information access problem from a geographic information science perspective using a case study exploring a semi-structured historical encyclopedia. We propose a three-pronged approach for this, based around (1) automatic retrieval of spatio-temporal and thematic information from digital text documents; (2) transformation of the extracted information to spatialize and visualize spatio-temporal and thematic structures; and (3) integration of the spatialized displays in an interactive web interface driven by a user-centered design and evaluation approach. We implemented an interactive spatialized network display to allow identification of spatio-temporal relationships hidden in the text archive, complemented by an interactive self-organizing map display to visualize thematic relationships in these text documents. We evaluated the utility and usability of the developed interface in a user study with digital humanities scholars. Empirical results show that the developed interface supports target users in the humanities uncovering latent spatio-temporal and thematic relationships and generated new insights through the spatialized text collection. Adopting this approach, we illustrate one avenue to addressing the information access problem in the digital humanities from a GIScience perspective.

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Siabato, Willington, Javier Moya-Honduvilla, and Miguel Ángel Bernabé-Poveda. "Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)." International Journal of Applied Geospatial Research 7, no. 3 (July 2016): 1–37. http://dx.doi.org/10.4018/ijagr.2016070101.

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The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

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VAN KREVELD, MARC, and IRIS REINBACHER. "GOOD NEWS: PARTITIONING A SIMPLE POLYGON BY COMPASS DIRECTIONS." International Journal of Computational Geometry & Applications 14, no. 04n05 (October 2004): 233–59. http://dx.doi.org/10.1142/s0218195904001469.

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Motivated by geographic information retrieval, we study the problem of partitioning a simple polygon into four parts that can be considered as the North, East, West, and South. We list criteria for such partitionings, propose formalizations into geometric problems, and give efficient algorithms. An implementation and tests on country outlines show the results for three different partitionings.

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Journal articles on the topic 'Geographic Information Retrieval'

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