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OKSA: an open knowledge service architecture for building large scale knowledge system in semantic Web

Authors: Huajun Chen; Zhaohui Wu 0001;

OKSA: an open knowledge service architecture for building large scale knowledge system in semantic Web

Abstract

Semantic Web provides us with a new paradigm of Web based knowledge sharing and management. In this paper, an open knowledge service architecture (OKSA) is described, which emphasizes how to organize, discover, utilize, and manage web knowledge resources. Three kinds of knowledge service (KS) are identified, they are: OntoKS for retrieving, browsing and managing Web ontologies, RuleKS for facilitating the building of rule-based expert system and CaseKS for case-based experience knowledge management. These KSes provides value-added Web services from distributed Web knowledge resources. We use an application scenario from the traditional Chinese medicine area to clarify the design rationale of the KS model.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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