Information vs Knowledge To a machine, knowledge is comprehended information (aka new information produced through the application of deductive reasoning to exiting information). To a machine, information is only data, until it is processed and compr
Ontology-based information exchange for knowledge management and electronic commerce via Semantic Web technologies and languages. This is the community site for Ontoweb, a European Union founded project about Ontology-based information exchange for knowle
Ontology-based information exchange for knowledge management and electronic commerce via Semantic Web technologies and languages. This is the community site for Ontoweb, a European Union founded project about Ontology-based information exchange for knowle
We believe that the enterprise ontology will become a cornerstone in many information systems in the future. In general terms, an ontology is an organization of a body of knowledge or, at least, an organization of a set of terms related to a body of know
We believe that the enterprise ontology will become a cornerstone in many information systems in the future. In general terms, an ontology is an organization of a body of knowledge or, at least, an organization of a set of terms related to a body of know
Identity is fundamental to ontology, and especially to information systems ontologies. Identity is well known in metaphysics and in database conceptual modeling. In the latter case, it is an accepted best practice to specify a primary key for rows in a ta
Source vs. Resource Ontology The notion of a resource is fundamental in current networked information systems. The term "resource" is used often, specifically in relation the World Wide Web and the W3C's semantic web activity, in standards such as Resour
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Model, organize and leverage content and knowledge. Manage reference schemas, taxonomies, thesaurus and ontology. Classify content. Power vertical search portals
D. Maynard, Y. Li, и W. Peters. Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge, стр. 107-127. IOS Press, (2008)
D. Aumueller, H. Do, S. Massmann, и E. Rahm. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, стр. 906--908. New York, NY, USA, ACM, (2005)
D. Knoell, M. Atzmueller, C. Rieder, и K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)
D. Knoell, M. Atzmueller, C. Rieder, и K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, ((In Press) 2017)
D. Knoell, M. Atzmueller, C. Rieder, и K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)