Knowledge Based Search Engine: Granular Computing on the Web
Autor: | Jean-David Hsu, Tsau Young Lin |
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Rok vydání: | 2008 |
Předmět: |
medicine.medical_specialty
Web search query Information retrieval business.industry Computer science Semantic search Social Semantic Web World Wide Web Knowledge-based systems Search engine Knowledge base Semantic computing Website Parse Template medicine Semantic Web Stack business Semantic Web Web modeling Data Web |
Zdroj: | Web Intelligence |
DOI: | 10.1109/wiiat.2008.428 |
Popis: | Granular computing is an emerging technology. This paper summarizes its applications to the Web. A high frequent co-occurring ordered set of keywords is called a keyword set;it represents some concept in the given document set. These concepts forms a simplicial complex of concepts,which is regarded as a knowledge base for a new search engine.The return of a query will be organized ino meaningful clusters. A fundamental difference of this approach from semantic web is that the search engine carries the semantic of a Website, instead of the website has to be organized in the sense of semantic Web, namely, the semantics is machine readable. |
Databáze: | OpenAIRE |
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