SemSearch: A Search Engine for the Semantic Web
| Autor: | Victoria Uren, Enrico Motta, Yuangui Lei |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
SQL
Computer science Knowledge engineering Ontology (information science) Phrase search Semantic data model Query language Social Semantic Web World Wide Web Search engine Knowledge extraction Semantic computing Semantic analytics Semantic integration Semantic Web Stack Semantic Web computer.programming_language Web search query Concept search Information retrieval business.industry Search analytics Semantic search Semantic grid Ontology business computer |
| Zdroj: | Managing Knowledge in a World of Networks ISBN: 9783540463634 EKAW |
| DOI: | 10.1007/11891451_22 |
| Popis: | Existing semantic search tools have been primarily designed to enhance the performance of traditional search technologies but with little support for ordinary end users who are not necessarily familiar with domain specific semantic data, ontologies, or SQL-like query languages. This paper presents SemSearch, a search engine, which pays special attention to this issue by providing several means to hide the complexity of semantic search from end users and thus make it easy to use and effective. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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