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Semantic integration
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101	Similarity mation integration, Sorkin, West, and Robinson (forthcoming) showed how a group decision can be predicted from individual inputs without assumptions about interaction among its members. In all of these cases, Add to Reading List Source URL: cognitrn.psych.indiana.edu Language: English - Date: 2013-11-19 12:06:02 Science Similarity Mathematical psychology Analogy Cognitive psychology Language module Transfer of learning Semantic similarity Cognition Cognitive science Ethology
102	CAiSE’02 The 14th Conference on Advanced Information Systems Engineering Toronto, Canada, May 27 – June 1, 2002 Call for Participation Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2002-04-05 09:50:20 Information Systems engineering Workflow technology Semantic Web Knowledge representation Data model Workflow Modeling language Data integration Science Scientific modeling Enterprise modelling
103	Integration “In The Large” Ian Oliver & Ora Lassila Nokia September 16, 2011 The original goals of the Semantic Web [2] – and in some degree also those of its “younger cousin” Linked Data [3] – are to provide Add to Reading List Source URL: www.w3.org Language: English - Date: 2011-09-20 15:53:29 Science Data Information science Knowledge representation Knowledge engineering Semantic integration Ontology alignment Semantics Semantic mapper Semantic Web Information Ontology
104	Using Common Sense Reasoning to Enable the Semantic Web Add to Reading List Source URL: agents.media.mit.edu Language: English - Date: 2003-12-16 15:47:53 World Wide Web Information Web Services Discovery Universal Description Discovery and Integration Resource Description Framework Service discovery Ontology OWL-S Semantic Web Stack Semantic Web Web services Computing
105	RIA02000 Guidelines for Final Submission of Articles Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2010-10-15 11:10:05 Data Cyc Semantic integration Upper ontology Formal ontology Ontology Information Science
106	The Grand Challenge of Information Technology and The Illusion of Validity Dr. Michael L. Brodie Chief Scientist Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2002-06-05 11:17:46 Enterprise application integration Information technology management Computing Data analysis Data mining Geographic information system Service-oriented architecture Semantic Web Data model Web services Database management systems Data management
107	Microsoft Word - indusfinal.doc Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2003-06-07 18:42:44 Database management systems Science Data management Semantic Web Knowledge representation INtelligent Data Understanding System Data integration Geographic information system Federated database system Information Data Ontology
108	Semantic Data & Service Integration –Workshop,Berlin, Toward a Unified View of Data and Services Carlo Batini Matteo Palmonari Add to Reading List Source URL: dbgroup.unimo.it Language: English - Date: 2008-03-25 09:58:09 Data management Data Ontology WSMO Data integration Semantic Web Services Semantic integration Ontology-based data integration Corporate Semantic Web Semantic Web Web services Information
109	Maintaining Mappings Valid between Dynamic KOS Julio Cesar Dos Reis CR SANTEC, CRP Henri Tudor and LRI, University of Paris-Sud XI 6, Av. des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg Add to Reading List Source URL: eswc-conferences.org Language: English Data Ontology Information science Knowledge engineering Schema matching Ontology alignment Data integration Minimal mappings Semantic translation Information Semantic Web Knowledge representation
110	PDF Document Add to Reading List Source URL: speroni.web.cs.unibo.it Language: English - Date: 2013-04-26 13:55:01 Knowledge representation Ontology Information science Technical communication Citation analysis Semantic integration Semantic publishing WordNet RDF Schema Semantic Web Information Science