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Semantic issues in web-scale knowledge aggregation
Abstract The Semantic Web holds immense promise for The Semantic Web holds immense promise for the creation of a world-wide base of knowledge that can be consumed by people and by autonomous agents alike. However, numerous issues must be solved before the experience of using this data can be considered a seamless one. Issues arise as to the meaning, or semantics, of particular datums and claims which must be resolved if the data is to be put to any practical use. We discuss our experience with the creation of a world-wide knowledge Web, how and where these issues arise, and the techniques we have applied to resolve them. echniques we have applied to resolve them.
Author Rob McCool +, Richard Fikes +, Ramanathan V. Guha +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory +
Key KSL-03-15  +
Modification dateThis property is a special property in this wiki. 1 May 2009 13:39:17  +
Number KSL-03-15  +
Tag Computer science +
Title Semantic Issues in Web-Scale Knowledge Aggregation  +
Tr id KSL-03-15  +
Year 2003  +
Categories Technical Report, Publication, KSL Technical Report
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