dc.contributor.author |
Pridmore-Brown, Philip |
|
dc.date.accessioned |
2010-02-24T19:13:41Z |
|
dc.date.available |
2010-02-24T19:13:41Z |
|
dc.date.issued |
2010-02-24T19:13:41Z |
|
dc.identifier.uri |
http://hdl.handle.net/1794/10212 |
|
dc.description |
This 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.abstract |
Semantic 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.language.iso |
en_US |
en_US |
dc.relation.ispartofseries |
AIM Capstone 2010;Philip Pridmore-Brown |
|
dc.subject |
Semantic web technologies |
|
dc.subject |
Enterprise tacit knowledge |
|
dc.subject |
Ontologies |
|
dc.subject |
Applied Information Management |
|
dc.subject |
AIM |
|
dc.subject |
Data |
|
dc.title |
An Inventory of Semantic Models (Ontologies) for Use When Managing Enterprise Tacit Knowledge |
en_US |
dc.type |
Other |
en_US |