Lopez, Vanessa; Sabou, Marta; Uren, Victoria and Motta, Enrico
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1145/1597735.1597739|
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PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.
|Item Type:||Conference Item|
|Copyright Holders:||2009 ACM Inc.|
|Keywords:||natural language; querying ontologies; question answering; semantic web|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||14 Oct 2010 11:14|
|Last Modified:||08 Oct 2016 07:57|
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