From Keyword Search to Exploration: Designing Future Search Interfaces for the Web
Foundations and Trends in Web Science
A semantic matching of information segments for tolerating error chinese words
WISE'06 Proceedings of the 7th international conference on Web Information Systems
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Searching useful information and locating appropriate Ontology from WWW or Semantic Web is an important task in Ontology research domain. The most difference between Ontology information and common information is that Ontology has semantic structure. In order to improve search precision by semantic analysis the paper proposes concepts 驴 weights vectors matching algorithm (CWVMA). The algorithm firstly parses input messages and preliminary keywords based results into concepts sets. Then it decides matching rule according to influence of concepts set on Ontology semantic and creates weight vector by matching rule. At last it obtains result vector as foundation of measure similarity between input messages and preliminary results. In addition, this paper designed and developed an Ontology search engine based on the above algorithm 驴 WI OntoSearch prototype system. The system can search about 4 billion web pages by Google Web Service. A lot of results of experiments explain the algorithm can improve precision of Ontology search.