An Inventory of Semantic Models (Ontologies) for Use When Managing Enterprise Tacit Knowledge

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dc.contributor.authorPridmore-Brown, Philip
dc.date.accessioned2010-02-24T19:13:41Z
dc.date.available2010-02-24T19:13:41Z
dc.date.issued2010-02-24T19:13:41Z
dc.descriptionThis paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu].en_US
dc.description.abstractSemantic web technologies provide flexible tools and approaches for modeling enterprise tacit knowledge. Literature published after 2000 identifies three primary types of ontologies: (a) upper level, describing general or common concepts, (b) mid level, extending upper level concepts to a domain space, and (c) lower level, or domain specific, that define the nuances to an organization or domain (Kiryakov, Simov, & Dimitrov, 2001). Tools and ontologies are cataloged in an inventory, including advantages and disadvantages.en_US
dc.identifier.urihttps://hdl.handle.net/1794/10212
dc.language.isoen_USen_US
dc.relation.ispartofseriesAIM Capstone 2010;Philip Pridmore-Brown
dc.subjectSemantic web technologies
dc.subjectEnterprise tacit knowledge
dc.subjectOntologies
dc.subjectApplied Information Management
dc.subjectAIM
dc.subjectData
dc.titleAn Inventory of Semantic Models (Ontologies) for Use When Managing Enterprise Tacit Knowledgeen_US
dc.typeOtheren_US

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