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Fernandez, Miriam; Lopez, Vanessa; Motta, Enrico; Sabou, Marta; Uren, Victoria; Vallet, David and Castells, Pablo
(2008).
DOI: https://doi.org/10.1109/ICSC.2008.52
Abstract
While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based Question Answering (QA) system and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web. Our results show that ontology based semantic search capabilities can be used to complement and enhance keyword search technologies.
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About
- Item ORO ID
- 23492
- Item Type
- Conference or Workshop Item
- ISBN
- 0-7695-3279-9, 978-0-7695-3279-0
- Keywords
- information retrieval; question answering; semantic search; Semantic Web
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2008 IEEE
- Depositing User
- Kay Dave