Semantic Issues in Web-Scale Knowledge Aggregation

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KSL-03-15 +  redirect page

Semantic Issues in Web-Scale Knowledge Aggregation +  Has identifier

Semantic Issues in Web-Scale Knowledge Aggregation +  Ksl tr id

Semantic Issues in Web-Scale Knowledge Aggregation +  Number

Semantic Issues in Web-Scale Knowledge Aggregation

Bibtype  techreport

Has publishing details  2003

Has title  Semantic Issues in Web-Scale Knowledge Aggregation

Has where published  KSL-03-15

Has year  2003

Title  Semantic Issues in Web-Scale Knowledge Aggregation

Year  2003

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 and Richard Fikes and Ramanathan V. Guha +

Has author  Rob McCool and Richard Fikes and Ramanathan V. Guha +

Has identifier  Semantic Issues in Web-Scale Knowledge Aggregation +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Semantic Issues in Web-Scale Knowledge Aggregation +

Number  Semantic Issues in Web-Scale Knowledge Aggregation +

Process note  NO +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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