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Lopez, Vanessa; Fernández, Miriam; Motta, Enrico and Stieler, Nico
(2011).
DOI: https://doi.org/10.3233/SW-2011-0030
Abstract
With the continued growth of online semantic information, the processes of searching and managing this massive scale and heterogeneous content have become increasingly challenging. In this work, we present PowerAqua, an ontology basedcQuestion Answering system that is able to answer queries by locating and integrating information, which can be massively distributed across heterogeneous semantic resources. We provide a complete overview of the system including: the research challenges that it addresses, its architecture, the evaluations that have been conducted to test it and a deep discussion showing how PowerAqua effectively supports users in querying and exploring the Semantic Web content.
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About
- Item ORO ID
- 32164
- Item Type
- Journal Item
- ISSN
- 2210-4968
- Project Funding Details
-
Funded Project Name Project ID Funding Body Not Set Not Set Smart- Products project [EC-231204] - Keywords
- question answering; linked data; semantic web; natural language
- 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
- © 2011 IOS Press and the authors
- Related URLs
- Depositing User
- Kay Dave