Automated Chinese Ontology Learning Technology Based on Singular Value Decomposition
Yao Jingguo · Jisuanji gongcheng · 2003
Semantic Web is a beautiful blueprint, Ontologies are set to play a key role in the semantic Web, It can provide interoperability from syntactic level to semantic level not only for human user but also for software agents. Todays Web is full of HTML documents of different layout, The future semantic Web will be full of instances of different domain ontologies. The Ontology instances will serve as the Web pages and will contain the links to other instances. Hence, the success of the semantic Web depends strongly on the proliferation of ontologies, cheap and fast construction of domain-specific ontologies is crucial for realizing the semantic Web. The paper proposes an automated Chinese Ontology learning technology based on singular value decomposition,which has the feature of simplicity and the basis on a fairly precise mathematical foundation.