Relevant bibliographies by topics / Web data sets

Academic literature on the topic 'Web data sets'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Web data sets"

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Alder, J. R., and S. W. Hostetler. "Web based visualization of large climate data sets." Environmental Modelling & Software 68 (June 2015): 175–80. http://dx.doi.org/10.1016/j.envsoft.2015.02.016.

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G.V., Suresh, and Srinivasa Reddy E.V. "Uncertain Data Analysis with Regularized XGBoost." Webology 19, no. 1 (January 20, 2022): 3722–40. http://dx.doi.org/10.14704/web/v19i1/web19245.

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Uncertainty is a ubiquitous element in available knowledge about the real world. Data sampling error, obsolete sources, network latency, and transmission error are all factors that contribute to the uncertainty. These kinds of uncertainty have to be handled cautiously, or else the classification results could be unreliable or even erroneous. There are numerous methodologies developed to comprehend and control uncertainty in data. There are many faces for uncertainty i.e., inconsistency, imprecision, ambiguity, incompleteness, vagueness, unpredictability, noise, and unreliability. Missing information is inevitable in real-world data sets. While some conventional multiple imputation approaches are well studied and have shown empirical validity, they entail limitations in processing large datasets with complex data structures. In addition, these standard approaches tend to be computationally inefficient for medium and large datasets. In this paper, we propose a scalable multiple imputation frameworks based on XGBoost, bootstrapping and regularized method. XGBoost, one of the fastest implementations of gradient boosted trees, is able to automatically retain interactions and non-linear relations in a dataset while achieving high computational efficiency with the aid of bootstrapping and regularized methods. In the context of high-dimensional data, this methodology provides fewer biased estimates and reflects acceptable imputation variability than previous regression approaches. We validate our adaptive imputation approaches with standard methods on numerical and real data sets and shown promising results.
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Fernández, Javier D., Miguel A. Martínez-Prieto, Pablo de la Fuente Redondo, and Claudio Gutiérrez. "Characterising RDF data sets." Journal of Information Science 44, no. 2 (January 9, 2017): 203–29. http://dx.doi.org/10.1177/0165551516677945.

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The publication of semantic web data, commonly represented in Resource Description Framework (RDF), has experienced outstanding growth over the last few years. Data from all fields of knowledge are shared publicly and interconnected in active initiatives such as Linked Open Data. However, despite the increasing availability of applications managing large-scale RDF information such as RDF stores and reasoning tools, little attention has been given to the structural features emerging in real-world RDF data. Our work addresses this issue by proposing specific metrics to characterise RDF data. We specifically focus on revealing the redundancy of each data set, as well as common structural patterns. We evaluate the proposed metrics on several data sets, which cover a wide range of designs and models. Our findings provide a basis for more efficient RDF data structures, indexes and compressors.
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Endsley, K. A., and M. G. Billmire. "Distributed visualization of gridded geophysical data: the Carbon Data Explorer, version 0.2.3." Geoscientific Model Development 9, no. 1 (January 29, 2016): 383–92. http://dx.doi.org/10.5194/gmd-9-383-2016.

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Abstract. Due to the proliferation of geophysical models, particularly climate models, the increasing resolution of their spatiotemporal estimates of Earth system processes, and the desire to easily share results with collaborators, there is a genuine need for tools to manage, aggregate, visualize, and share data sets. We present a new, web-based software tool – the Carbon Data Explorer – that provides these capabilities for gridded geophysical data sets. While originally developed for visualizing carbon flux, this tool can accommodate any time-varying, spatially explicit scientific data set, particularly NASA Earth system science level III products. In addition, the tool's open-source licensing and web presence facilitate distributed scientific visualization, comparison with other data sets and uncertainty estimates, and data publishing and distribution.
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Evans, William N., Helen Levy, and Kosali I. Simon. "Data Watch: Research Data in Health Economics." Journal of Economic Perspectives 14, no. 4 (November 1, 2000): 203–16. http://dx.doi.org/10.1257/jep.14.4.203.

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In this paper, we discuss some important data sets that can be used by economists interested in conducting research in health economics. We describe six types of data sets: health components of data sets traditionally used by economists; longitudinal surveys of health and economic behavior; data on employer-provided insurance; cross-sectional surveys of households that focus on health; data on health care providers; and vital statistics. We summarize some of the leading surveys, discuss the availability of the data, identify how researchers have utilized these data and when possible, include a web address that contains more detailed information about each survey.
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Ibrahim, Nadia, Alaa Hassan, and Marwah Nihad. "Big Data Analysis of Web Data Extraction." International Journal of Engineering & Technology 7, no. 4.37 (December 13, 2018): 168. http://dx.doi.org/10.14419/ijet.v7i4.37.24095.

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In this study, the large data extraction techniques; include detection of patterns and secret relationships between factors numbering and bring in the required information. Rapid analysis of massive data can lead to innovation and concepts of the theoretical value. Compared with results from mining between traditional data sets and the vast amount of large heterogeneous data interdependent it has the ability expand the knowledge and ideas about the target domain. We studied in this research data mining on the Internet. The various networks that are used to extract data onto different locations complex may appear sometimes and has been used to extract information on the web technology to extract and data analysis (Marwah et al., 2016). In this research, we extracted the information on large quantities of the web pages and examined the pages of the site using Java code, and we added the extracted information on a special database for the web page. We used the data network function to get accurate results of evaluating and categorizing the data pages found, which identifies the trusted web or risky web pages, and imported the data onto a CSV extension. Consequently, examine and categorize these data using WEKA to obtain accurate results. We concluded from the results that the applied data mining algorithms are better than other techniques in classification and extraction of data and high performance.
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De Souza, Jessica Oliveira, and Jose Eduardo Santarem Segundo. "Mapeamento de Problemas de Qualidade no Linked Data." Journal on Advances in Theoretical and Applied Informatics 1, no. 1 (October 6, 2015): 38. http://dx.doi.org/10.26729/jadi.v1i1.1043.

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Since the Semantic Web was created in order to improve the current web user experience, the Linked Data is the primary means in which semantic web application is theoretically full, respecting appropriate criteria and requirements. Therefore, the quality of data and information stored on the linked data sets is essential to meet the basic semantic web objectives. Hence, this article aims to describe and present specific dimensions and their related quality issues.
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Rodriguez-Garcia, Mercedes, Antonio Balderas, and Juan Manuel Dodero. "Privacy Preservation and Analytical Utility of E-Learning Data Mashups in the Web of Data." Applied Sciences 11, no. 18 (September 13, 2021): 8506. http://dx.doi.org/10.3390/app11188506.

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Virtual learning environments contain valuable data about students that can be correlated and analyzed to optimize learning. Modern learning environments based on data mashups that collect and integrate data from multiple sources are relevant for learning analytics systems because they provide insights into students’ learning. However, data sets involved in mashups may contain personal information of sensitive nature that raises legitimate privacy concerns. Average privacy preservation methods are based on preemptive approaches that limit the published data in a mashup based on access control and authentication schemes. Such limitations may reduce the analytical utility of the data exposed to gain students’ learning insights. In order to reconcile utility and privacy preservation of published data, this research proposes a new data mashup protocol capable of merging and k-anonymizing data sets in cloud-based learning environments without jeopardizing the analytical utility of the information. The implementation of the protocol is based on linked data so that data sets involved in the mashups are semantically described, thereby enabling their combination with relevant educational data sources. The k-anonymized data sets returned by the protocol still retain essential information for supporting general data exploration and statistical analysis tasks. The analytical and empirical evaluation shows that the proposed protocol prevents individuals’ sensitive information from re-identifying.
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Xiang-Wei, Li, Zheng Gang, and Kang Yu-Xue. "A Rough Sets Based Data Preprocessing Algorithm for Web Structure Mining." Information Technology Journal 11, no. 8 (July 15, 2012): 1127–30. http://dx.doi.org/10.3923/itj.2012.1127.1130.

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Ma, Dong Lin, and Wei Jun Gao. "An Association-Analysis Based Web Mining Preprocessing Algorithm." Applied Mechanics and Materials 121-126 (October 2011): 3642–46. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3642.

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Aimed to overcome the deficiency of abundant data to web mining, the paper proposed an association-analysis based algorithm. Firstly, we construct the relation Information System using original data sets. Secondly, make use of attribute reduction theory of Rough sets to produce the Core of Information System. Core is the most important and necessary information which cannot reduce in original Information System. So it can get a same effect as original data sets to data analysis, and can construct classification modeling using it. Thirdly, construct indiscernibility matrix using reduced Information System, and finally, get the classification of original data sets. The experiments shows that the proposed algorithm can get high efficiency and can avoid the abundant data in follow-up data processing.
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Dissertations / Theses on the topic "Web data sets"

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Baker, Malchus B. Jr, Daniel P. Huebner, and Peter F. Ffolliott. "Accessing Watershed-Related Data Sets Through the World Wide Web." Arizona-Nevada Academy of Science, 2000. http://hdl.handle.net/10150/296555.

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Luczak-Rösch, Markus [Verfasser]. "Usage-dependent maintenance of structured Web data sets / Markus Luczak-Rösch." Berlin : Freie Universität Berlin, 2014. http://d-nb.info/1068253827/34.

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Månsson, Per. "Database analysis and managing large data sets in a trading environment." Thesis, Linköpings universitet, Databas och informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-104193.

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Start-up companies today tend to find a need to scale up quickly and smoothly, to cover quickly increasing demands for the services they create. It is also always a necessity to save money and finding a cost-efficient solution which can meet the demands of the company. This report uses Amazon Web Services for infrastructure. It covers hosting databases on Elastic Computing Cloud, the Relational Database Serviceas well as Amazon DynamoDB for NoSQL storage are compared, benchmarked and evaluated.
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O'Dowd, Robert J. "An assessment of ordinary and indicator krigings using simulated data sets /." Title page, contents and abstract only, 1986. http://web4.library.adelaide.edu.au/theses/09SB/09sbo26.pdf.

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Lefrançois, Maxime. "Représentation des connaissances sémantiques lexicales de la Théorie Sens-Texte : conceptualisation, représentation, et opérationnalisation des définitions lexicographiques." Phd thesis, Université Nice Sophia Antipolis, 2014. http://tel.archives-ouvertes.fr/tel-01071945.

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Nous présentons une recherche en ingénierie des connaissances appliquée aux prédicats linguistiques et aux définitions lexicographiques de la théorie Sens-Texte (TST). Notre méthodologie comporte trois étapes. 1. Nous montrons en quoi la conceptualisation de la TST devrait être étendue pour faciliter sa formalisation. Nous justifions la nécessité de définir un niveau sémantique profond (SemP) à base de graphes. Nous y définissons la notion de type d'unité sémantique profonde et sa structure actancielle, de sorte que leur organisation hiérarchique puisse correspondre à une hiérarchie de sens au sein de laquelle ces structures actancielles sont héritées et spécialisées. Nous reconceptualisons les définitions lexicographiques au niveau SemP, et au niveau du dictionnaire. Finalement, nous présentons un prototype d'éditeur de définitions basé sur la manipulation directe de graphes. 2. Nous proposons un formalisme de représentation des connaissances adapté à cette conceptualisation. Nous démontrons que les logiques de description et le formalisme des Graphes Conceptuels ne sont pas adaptés, et nous construisons alors un nouveau formalisme, dit des Graphes d'Unités. 3. Nous étudions l'opérationnalisation du formalisme des Graphes d'Unités. Nous lui associons une sémantique formelle basée sur la théorie des modèles et l'algèbre relationnelle, et montrons que les conditions de décidabilité du raisonnement logique correspondent aux intuitions des lexicographes. Nous proposons également une implémentation du formalisme avec les standards du web sémantique, ce qui permet de profiter des architectures existantes pour l'interopérationnalisation sur le web des données lexicales liées.
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Lerique, Sébastien. "Epidemiology of representations : an empirical approach." Thesis, Paris, EHESS, 2017. http://www.theses.fr/2017EHES0114/document.

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Nous proposons une contribution empirique aux tentatives récentes d'unification des sciences cognitives et des sciences sociales.La Théorie de l'Attraction Culturelle (CAT) propose de s'atteler à des questions interdisciplinaires en utilisant une ontologie commune faite de représentations.D'après la CAT, malgré des transformations au niveau micro, la distribution globale des représentations peut rester stable grâce à des attracteurs culturels.Cette hypothèse est difficile à tester, mais les technologies du web permettent de combiner les avantages des techniques existantes pour étendre le champ des études possibles.Nous présentons deux études de cas sur de courts énoncés écrits.La première examine les changements que des citations subissent lorsqu'elles sont copiées en ligne.En combinant psycholinguistique et fouille de données, nous montrons que les substitutions de mots sont cohérentes avec l'hypothèse des attracteurs culturels, et avec les effets connus de variables lexicales.La deuxième étude étend ces résultats, et utilise une expérience web permettant de récolter des chaînes de transmission de qualité et en grande quantité.En étendant un algorithme bioinformatique, nous décomposons les transformations en des opérations plus simples, et proposons un premier modèle descriptif du processus qui relie les connaissances psycholinguistiques sur la transformation de phrases aux tendances de haut niveau identifiées dans la littérature sur l'évolution culturelle.Enfin, nous montrons que la compréhension de l'évolution de telles représentations nécessite une théorie du sens des énoncés, une tâche pour laquelle nous explorons les approches empiriques possibles
We propose an empirical contribution to recent attempts to unify cognitive science and social science.We focus on Cultural Attraction Theory (CAT), a framework that proposes a common ontology made of representations for cognitive and social science to address interdisciplinary questions.CAT hypothesizes that in spite of important transformations at the micro-level, the overall distribution of representations remains stable due to dynamical attractors.Testing this hypothesis is challenging and existing approaches have several shortcomings.Yet, by taking advantage of web technologies one can combine the advantages of existing techniques to expand the range of possible empirical studies.We develop two case studies to show this with short written utterances.The first examines transformations that quotations undergo as they are propagated online.By connecting data mining tools with psycholinguistics, we show that word substitutions in quotations are consistent with the hypothesis of cultural attractors and with known effects of lexical features.The second case study expands these results, and makes use of a purposefully developed web experiment to gather quality transmission chain data sets.By extending a bioinformatics alignment algorithm, we decompose transformations into simpler operations, and propose a first descriptive model which relates psycholinguistic knowledge of sentence transformation to evolutionary trends elicited in the cultural evolution literature.Finally, we show that further understanding the evolution of such representations requires an account of meaning in context, a task for which we flesh out possible empirical approaches
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Books on the topic "Web data sets"

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M, Abello James, Pardalos P. M. 1954-, and Resende, Mauricio G. C., 1955-, eds. Handbook of massive data sets. Dordrecht: Kluwer Academic, 2002.

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Humberto, Bustince, Herrera Francisco Dr, and Montero Javier, eds. Fuzzy sets and their extensions: Representation, aggregation, and models : intelligent systems from decision making to data mining, web intelligence, and computer vision. Berlin: Springer, 2008.

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Wen zi lu ru. Dalian: Dongbei cai jing da xue chu ban she, 2000.

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Huijin, Chen, ed. Zhong wen zhi mei: Cang Jie Zhong wen shu ru fa. Taibei Shi: Di san bo wen hua shi yeh gu fen you xian gong si, 1994.

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Da yi Zhong wen shu ru fa. 7th ed. Taibei Shi: Di san bo wen hua shi yeh gu fen yu xian gong si, 1994.

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Jianyun, Dai, ed. Zhong wen shu ru ji neng jing sai yu jian ding. Taibei Shi: Song gang dian nao tu shu zi liao gu fen you xian gong si, 1991.

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Zhong wen jie zi yuan li Cang Jie shu ru fa Word to Word. Taibei Shi: Mai tian chu ban she you xian gong si, 1998.

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Quan zi ku Zhong wen cang jie shu ru fa: Dian nao, shou ji, ping ban jun shi yong. Taibei Shi: Shang qi zi xun gu fen you xian gong si, 2016.

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Liang an tong fan jian ti Zhong wen Cang Jie shu ru fa. Taibei Shi: Qi feng zi xun gu fen you xian gong si, 2006.

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Weiruan xin zhu yin shu ru fa: Zhong wen da zi gao shou su cheng shou ce. Taibei Shi: Shi shu tang wen hua shi ye gu fen you xian gong si, 1998.

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Book chapters on the topic "Web data sets"

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Liu, Yongnan, and Jianzhong Li. "Drawing CoCo Core-Sets from Incomplete Relational Data." In Web and Big Data, 61–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26072-9_5.

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Thelwall, Michael. "Collecting Data for Sets of Documents." In Web Indicators for Research Evaluation, 77–101. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02304-0_8.

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Lesnikova, Tatiana. "Interlinking Cross-Lingual RDF Data Sets." In The Semantic Web: Semantics and Big Data, 671–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_49.

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Gu, Baohua, Feifang Hu, and Huan Liu. "Modelling Classification Performance for Large Data Sets." In Advances in Web-Age Information Management, 317–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47714-4_29.

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Sarmento, Luís, Alexander Kehlenbeck, Eugénio Oliveira, and Lyle Ungar. "Efficient Clustering of Web-Derived Data Sets." In Machine Learning and Data Mining in Pattern Recognition, 398–412. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03070-3_30.

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Hájek, Petr. "On generalized quantifiers, finite sets and data mining." In Intelligent Information Processing and Web Mining, 489–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36562-4_52.

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Szeto, Chi-Cheong, Edward Hung, and Yu Deng. "Modeling and Querying Probabilistic RDFS Data Sets with Correlated Triples." In Web Technologies and Applications, 333–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20291-9_35.

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Niewiadomski, Adam, and Bartosz Rybusiński. "Fuzzy Sets-Based Retranslation of Numerical Data in E-Learning." In Advances in Web Intelligence, 348–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11495772_54.

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Lv, Liqun, and Xiaoyuan Yang. "A New Broadcast Encryption Scheme for Multi Sets." In Advances in Internetworking, Data & Web Technologies, 340–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59463-7_34.

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Karavirta, Ville, and Ari Korhonen. "Visual Algorithm Simulation Exercises with Authentic Data Sets." In Towards Learning and Instruction in Web 3.0, 123–37. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1539-8_8.

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Conference papers on the topic "Web data sets"

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Abdullin, Artur, and Olfa Nasraoui. "Clustering Heterogeneous Data Sets." In 2012 Latin American Web Congress (LA-WEB). IEEE, 2012. http://dx.doi.org/10.1109/la-web.2012.27.

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Erhan, Sercan. "SHARING TRANSPORTATION DATA SETS WITH OPEN WEB SERVICES." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s11.036.

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Ferres, Universidad del Desarrollo,, Leo. "Problems and Opportunities of Working with a Telco's Large Data Sets of Mobile Data*." In WWW '19: The Web Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3308560.3316490.

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Sastry, Prof P. N. V. M., Prof Dr D. N. Rao, and Dr S. Vathsal. "Elevating Data Integrity Techniques in Matching Data Sets for Web Databases." In National Conference on Computer Security, Image Processing, Graphics, Mobility and Analytics. AI Publications, 2016. http://dx.doi.org/10.22161/ijaers/si.20.

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Allsman, Roberta. "Simplifying the Web User's Interface to Massive Data Sets." In 2001 Eighteenth IEEE Symposium on Mass Storage Systems and Technologies (MSS). IEEE, 2001. http://dx.doi.org/10.1109/mss.2001.10008.

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Zavoral, Filip, and Jana Dvorakova. "Perfomance of XSLT processors on large data sets." In 2009 Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT). IEEE, 2009. http://dx.doi.org/10.1109/icadiwt.2009.5273945.

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Fosci, Paolo, and Giuseppe Psaila. "Towards Soft Web Intelligence by Collecting and Processing JSON Data Sets from Web Sources." In 18th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011547400003318.

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Brown, Iain M. "A 3D user interface for visualisation of Web-based data-sets." In the sixth ACM international symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/288692.288711.

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Di Lucca, G. A., A. R. Fasolino, and P. Tramontana. "A Technique for Reducing User Session Data Sets in Web Application Testing." In 2006 8th IEEE International Workshop on Web Site Evolution. IEEE, 2006. http://dx.doi.org/10.1109/wse.2006.1.

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Bellekens, Pieter, Kees van der Sluijs, William van Woensel, Sven Casteleyn, and Geert-Jan Houben. "Achieving Efficient Access to Large Integrated Sets of Semantic Data in Web Applications." In 2008 8th International Conference on Web Engineering (ICWE). IEEE, 2008. http://dx.doi.org/10.1109/icwe.2008.18.

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Reports on the topic "Web data sets"

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Cruz Pantoja, Omar. Development of a Web Interface for Search and Visualization of Self-describing Data sets. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1296693.

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Morris, Julia, Julia Bobiak, Fatima Asad, and Fozia Nur. Report: Accessibility of Health Data in Rural Canada. Spatial Determinants Lab at Carleton University, Department of Health Sciences, February 2021. http://dx.doi.org/10.22215/sdhlab/2020.4.

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To inform the development of an interactive web-based rural health atlas, the Rural Atlas team within the Spatial Determinants Lab at Carleton University, Department of Health Sciences carried out two sets of informal interviews (User Needs Assessment and Tool Development). These interviews were conducted in order to obtain insight from key stakeholders that have been involved in rural health settings, rural health policy or advocacy, or the development of health mapping tools. Interviews took place via video-conferencing software with participants in the spring of 2020.The following report provides a brief summary of the findings of both sets of interviews.
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Tidd, Alexander N., Richard A. Ayers, Grant P. Course, and Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.

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[Extract from Executive Summary] The competition for space from competing sectors in the coastal waters of Scotland has never been greater and thus there is a growing a need for interactive seascape planning tools that encompass all marine activities. Similarly, the need to gather data to inform decision makers, especially in the fishing industry, has become essential to provide advice on the economic impact on fishing fleets both in terms of alternative conservation measures (e.g. effort limitations, temporal and spatial closures) as well as the overlap with other activities, thereby allowing stakeholders to derive a preferred option. The SIFIDS project was conceived to allow the different relevant data sources to be identified and to allow these data to be collated in one place, rather than as isolated data sets with multiple data owners. The online interactive tool developed as part of the project (Work Package 6) brought together relevant data sets and developed data storage facilities and a user interface to allow various types of user to view and interrogate the data. Some of these data sets were obtained as static layers which could sit as background data e.g. substrate type, UK fishing limits; whilst other data came directly from electronic monitoring systems developed as part of the SIFIDS project. The main non-static data source was Work Package 2, which was collecting data from a sample of volunteer inshore fishing vessels (<12m). This included data on location; time; vessel speed; count, time and position of deployment of strings of creels (or as fleets and pots as they are also known respectively); and a count of how many creels were hauled on these strings. The interactive online tool allowed all the above data to be collated in a specially designed database and displayed in near real time on the web-based application.
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Borchmann, Daniel, Felix Distel, and Francesco Kriegel. Axiomatization of General Concept Inclusions from Finite Interpretations. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.219.

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Description logic knowledge bases can be used to represent knowledge about a particular domain in a formal and unambiguous manner. Their practical relevance has been shown in many research areas, especially in biology and the semantic web. However, the tasks of constructing knowledge bases itself, often performed by human experts, is difficult, time-consuming and expensive. In particular the synthesis of terminological knowledge is a challenge every expert has to face. Because human experts cannot be omitted completely from the construction of knowledge bases, it would therefore be desirable to at least get some support from machines during this process. To this end, we shall investigate in this work an approach which shall allow us to extract terminological knowledge in the form of general concept inclusions from factual data, where the data is given in the form of vertex and edge labeled graphs. As such graphs appear naturally within the scope of the Semantic Web in the form of sets of RDF triples, the presented approach opens up the possibility to extract terminological knowledge from the Linked Open Data Cloud. We shall also present first experimental results showing that our approach has the potential to be useful for practical applications.
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Arlitsch, Kenning. Data set supporting the dissertation Semantic Web Identity in Academic Organizations: Search engine entity recognition and the sources that influence Knowledge Graph Cards in search results. Montana State University ScholarWorks, 2016. http://dx.doi.org/10.15788/m2f590.

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Over, Thomas, Riki Saito, Andrea Veilleux, Padraic O’Shea, Jennifer Sharpe, David Soong, and Audrey Ishii. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, June 2016. http://dx.doi.org/10.36501/0197-9191/16-014.

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This report provides two sets of equations for estimating peak discharge quantiles at annual exceedance probabilities (AEPs) of 0.50, 0.20, 0.10, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively) for watersheds in Illinois based on annual maximum peak discharge data from 117 watersheds in and near northeastern Illinois. One set of equations was developed through a temporal analysis with a two-step least squares-quantile regression technique that measures the average effect of changes in the urbanization of the watersheds used in the study. The resulting equations can be used to adjust rural peak discharge quantiles for the effect of urbanization, and in this study the equations also were used to adjust the annual maximum peak discharges from the study watersheds to 2010 urbanization conditions. The other set of equations was developed by a spatial analysis. This analysis used generalized least-squares regression to fit the peak discharge quantiles computed from the urbanization-adjusted annual maximum peak discharges from the study watersheds to drainage-basin characteristics. The peak discharge quantiles were computed by using the Expected Moments Algorithm following the removal of potentially influential low floods defined by a multiple Grubbs-Beck test. To improve the quantile estimates, regional skew coefficients were obtained from a newly developed regional skew model in which the skew increases with the urbanized land use fraction. The skew coefficient values for each streamgage were then computed as the variance-weighted average of at-site and regional skew coefficients. The drainage-basin characteristics used as explanatory variables in the spatial analysis include drainage area, the fraction of developed land, the fraction of land with poorly drained soils or likely water, and the basin slope estimated as the ratio of the basin relief to basin perimeter. This report also provides: (1) examples to illustrate the use of the spatial and urbanization-adjustment equations for estimating peak discharge quantiles at ungaged sites and to improve flood-quantile estimates at and near a gaged site; (2) the urbanization-adjusted annual maximum peak discharges and peak discharge quantile estimates at streamgages from 181 watersheds including the 117 study watersheds and 64 additional watersheds in the study region that were originally considered for use in the study but later deemed to be redundant. The urbanization-adjustment equations, spatial regression equations, and peak discharge quantile estimates developed in this study will be made available in the web-based application StreamStats, which provides automated regression-equation solutions for user-selected stream locations. Figures and tables comparing the observed and urbanization-adjusted peak discharge records by streamgage are provided at http://dx.doi.org/10.3133/sir20165050 for download.
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Abeln, Barend, Jan P.A.M. Jacobs, and Machiel Mulder. Seasonal adjustment of daily data with CAMPLET. CIRANO, 2022. http://dx.doi.org/10.54932/hkse4022.

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In the last decade large data sets have become available, both in terms of the number of time series and with higher frequencies (weekly, daily and even higher). All series may suffer from seasonality, which hides other important fluctuations. Therefore time series are typically seasonally adjusted. However, standard seasonal adjustment methods cannot handle series with higher than monthly frequencies. Recently, Abeln et al. (2019) presented CAMPLET, a new seasonal adjustment method, which does not produce revisions when new observations become available. The aim of this paper is to show the attractiveness of CAMPLET for seasonal adjustment of daily time series. We apply CAMPLET to daily data on the gas system in the Netherlands.
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Baader, Franz, and Felix Distel. A finite basis for the set of EL-implications holding in a finite model. Technische Universität Dresden, 2007. http://dx.doi.org/10.25368/2022.160.

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Formal Concept Analysis (FCA) can be used to analyze data given in the form of a formal context. In particular, FCA provides efficient algorithms for computing a minimal basis of the implications holding in the context. In this paper, we extend classical FCA by considering data that are represented by relational structures rather than formal contexts, and by replacing atomic attributes by complex formulae defined in some logic. After generalizing some of the FCA theory to this more general form of contexts, we instantiate the general framework with attributes defined in the Description Logic (DL) EL, and with relational structures over a signature of unary and binary predicates, i.e., models for EL. In this setting, an implication corresponds to a so-called general concept inclusion axiom (GCI) in EL. The main technical result of this report is that, in EL, for any finite model there is a finite set of implications (GCIs) holding in this model from which all implications (GCIs) holding in the model follow.
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Mayfield, Colin. Higher Education in the Water Sector: A Global Overview. United Nations University Institute for Water, Environment and Health, May 2019. http://dx.doi.org/10.53328/guxy9244.

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Higher education related to water is a critical component of capacity development necessary to support countries’ progress towards Sustainable Development Goals (SDGs) overall, and towards the SDG6 water and sanitation goal in particular. Although the precise number is unknown, there are at least 28,000 higher education institutions in the world. The actual number is likely higher and constantly changing. Water education programmes are very diverse and complex and can include components of engineering, biology, chemistry, physics, hydrology, hydrogeology, ecology, geography, earth sciences, public health, sociology, law, and political sciences, to mention a few areas. In addition, various levels of qualifications are offered, ranging from certificate, diploma, baccalaureate, to the master’s and doctorate (or equivalent) levels. The percentage of universities offering programmes in ‘water’ ranges from 40% in the USA and Europe to 1% in subSaharan Africa. There are no specific data sets available for the extent or quality of teaching ‘water’ in universities. Consequently, insights on this have to be drawn or inferred from data sources on overall research and teaching excellence such as Scopus, the Shanghai Academic Ranking of World Universities, the Times Higher Education, the Ranking Web of Universities, the Our World in Data website and the UN Statistics Division data. Using a combination of measures of research excellence in water resources and related topics, and overall rankings of university teaching excellence, universities with representation in both categories were identified. Very few universities are represented in both categories. Countries that have at least three universities in the list of the top 50 include USA, Australia, China, UK, Netherlands and Canada. There are universities that have excellent reputations for both teaching excellence and for excellent and diverse research activities in water-related topics. They are mainly in the USA, Europe, Australia and China. Other universities scored well on research in water resources but did not in teaching excellence. The approach proposed in this report has potential to guide the development of comprehensive programmes in water. No specific comparative data on the quality of teaching in water-related topics has been identified. This report further shows the variety of pathways which most water education programmes are associated with or built in – through science, technology and engineering post-secondary and professional education systems. The multitude of possible institutions and pathways to acquire a qualification in water means that a better ‘roadmap’ is needed to chart the programmes. A global database with details on programme curricula, qualifications offered, duration, prerequisites, cost, transfer opportunities and other programme parameters would be ideal for this purpose, showing country-level, regional and global search capabilities. Cooperation between institutions in preparing or presenting water programmes is currently rather limited. Regional consortia of institutions may facilitate cooperation. A similar process could be used for technical and vocational education and training, although a more local approach would be better since conditions, regulations and technologies vary between relatively small areas. Finally, this report examines various factors affecting the future availability of water professionals. This includes the availability of suitable education and training programmes, choices that students make to pursue different areas of study, employment prospects, increasing gender equity, costs of education, and students’ and graduates’ mobility, especially between developing and developed countries. This report aims to inform and open a conversation with educators and administrators in higher education especially those engaged in water education or preparing to enter that field. It will also benefit students intending to enter the water resources field, professionals seeking an overview of educational activities for continuing education on water and government officials and politicians responsible for educational activities
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Soenen, Karen, Dana Gerlach, Christina Haskins, Taylor Heyl, Danie Kinkade, Sawyer Newman, Shannon Rauch, et al. How can BCO-DMO help with your oceanographic data? How can BCO-DMO help with your oceanographic data?, December 2021. http://dx.doi.org/10.1575/1912/27803.

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BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects supported by the National Science Foundation (NSF), as well as those supported by state, private, and other funding sources. BCO-DMO supports all phases of the data life cycle and ensures open access of well-curated project data and information. We employ F.A.I.R. Principles that comprise a set of values intended to guide data producers and publishers in establishing good data management practices that will enable effective reuse.
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