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Knowledge extraction
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#	Item
81	Harvesting, Searching, and Ranking Knowledge on the Web [Invited Talk] Gerhard Weikum Max Planck Institute for Informatics Saarbruecken, Germany Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:32 Computing Data management Science Ontology YAGO Gerhard Weikum Information extraction Semantic search DBpedia Semantic Web Max Planck Institute for Computer Science Natural language processing
82	Harvesting, Searching, and Ranking Knowledge from the Web Gerhard Weikum http://www.mpi-inf.mpg.de/~weikum/ joint work with Shady Elbassuoni, Georgiana Ifrim, Gjergji Kasneci, Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-02-13 15:32:05 Information Technical communication Ontology YAGO Gerhard Weikum Max Planck Cyc Freebase Information extraction Max Planck Institute for Computer Science Science Semantic Web
83	Finding Text Reuse on the Web Michael Bendersky W. Bruce Croft Center for Intelligent Information Retrieval Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:26 Search engine indexing Document retrieval Precision and recall Search engine Web search query Plagiarism detection Information extraction Query expansion Knowledge retrieval Information science Information retrieval Science
84	2nd MarchProspecting critical raw materials from wastes First Urban Mine Knowledge Data Platform providing access to data on mineral resources from extraction to end of life products with the ability to reference Add to Reading List Source URL: www.eurogeosurveys.org Language: English - Date: 2015-03-27 04:44:37 Waste management Electronic waste Waste Electrical and Electronic Equipment Directive Law Waste Mining Recycling European Union directives Waste legislation Environment
85	Using Semantic Relations with World Knowledge for Question Answering Ka Kan Lo and Wai Lam Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong kklo,wlam @se.cuhk.e Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2007-02-16 13:07:38 Information science Linguistics Information retrieval Artificial intelligence applications Question answering Yes and no Sentence extraction Question Parsing Computational linguistics Science Natural language processing
86	Statistical challenges with high dimensionality: feature selection in knowledge discovery Jianqing Fan and Runze Li∗ Abstract. Technological innovations have revolutionized the process of scientific research and knowle Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2007-08-14 10:32:57 Parametric statistics Machine learning Multivariate statistics Linear regression Least squares Bias of an estimator Instrumental variable Dimension reduction Feature extraction Statistics Regression analysis Econometrics
87	Aalto University School of Science Noora Hyttinen The effect of experience on knowledge extraction from Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Education Bayesian network Networks Causality Thesis Science Bayesian statistics Knowledge Philosophy of science
88	Identifying Web Tables – Supporting a Neglected Type of Content on the Web Mikhail Galkin Dmitry Mouromtsev Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-03-23 20:53:18 Formal sciences Knowledge Computational linguistics String metric Information extraction Pattern recognition Ontology learning Data mining Weka Science Natural language processing Artificial intelligence
89	Knowledge Linking for Online Statistics Marc Spaniol, Natalia Prytkova, and Gerhard Weikum Max-Planck-Institut für Informatik, Saarbrücken, GERMANY {mspaniol\|natalia\|weikum}@mpi-inf.mpg.de Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Linguistics Natural language processing Semantic Web Semantics Knowledge representation YAGO Semantic similarity Information extraction WordNet Computational linguistics Science Information science
90	Efficient Extraction and Query Benchmarking of Wikipedia Data Der Fakult¨at f¨ ur Mathematik und Informatik der Universit¨at Leipzig eingereichte Add to Reading List Source URL: jens-lehmann.org Language: English - Date: 2015-03-01 13:43:56 Information DBpedia Resource Description Framework Cyc Knowledge base SPARQL Triplestore Semantic Web Computing Data management