Abstract | ||
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The ability to ask specific question to the internet using natural language and receiving answers instead of documents is highly desired. Recent advancements in semantic web technologies make it possible to support such capability with more accuracy compared to existing non-semantic techniques. Using our expertise in ontology building and semantic search and discovery we designed an ontology-driven question answering system that extracts answers from web documents. This system processes natural language queries using a background ontology and finds possible answer(s) to the question from web documents. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1145/1529282.1529569 | SAC |
Keywords | Field | DocType |
ontology building,web-based ontology-driven question answering,possible answer,extracts answer,specific question,ontology-driven question answering system,natural language,web document,semantic web technology,semantic search,background ontology,question answering system,question answering,web based | World Wide Web,Question answering,Semantic search,Information retrieval,Semantic Web Stack,Computer science,Data Web,Semantic Web,OWL-S,Social Semantic Web,Upper ontology | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Samir Tartir | 1 | 51 | 4.07 |
Bobby McKnight | 2 | 11 | 1.30 |
I. Budak Arpinar | 3 | 556 | 34.01 |