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Creator |
042299abcac54fe25a1be6bf1dc3c949 |
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Creator |
31c7eb2d63e8876c11e2755b271c8287 |
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Creator |
c9aa7f2e582d191ed728ad414c5ea711 |
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Creator |
3d1c6f6e30bfcc1da11817ee2a00fd8c |
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Date |
2007-06 |
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Is Part Of |
repository |
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Is Part Of |
p15708268 |
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abstract |
The semantic web vision is one in which rich, ontology-based semantic markup will
become widely available. The availability of semantic markup on the web opens the
way to novel, sophisticated forms of question answering. AquaLog is a portable question-answering
system which takes queries expressed in natural language and an ontology as input,
and returns answers drawn from one or more knowledge bases (KBs). We say that AquaLog
is portable because the configuration time required to customize the system for a
particular ontology is negligible. AquaLog presents an elegant solution in which
different strategies are combined together in a novel way. It makes use of the GATE
NLP platform, string metric algorithms. WordNet and a novel ontology-based relation
similarity service to make sense of user queries with respect to the target KB. Moreover
it also includes a learning componment, which ensures that the performance of the
system improves over the time, in response to the particular community jargon used
by end users. |
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authorList |
authors |
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issue |
2 |
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status |
peerReviewed |
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volume |
5 |
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type |
AcademicArticle |
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type |
Article |
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label |
Lopez, Vanessa ; Uren, Victoria ; Motta, Enrico and Pasin, Michele (2007). AquaLog:
an ontology-driven question answering system for organizational semantic intranets.
Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 5(2)
pp. 72–105. |
9630 |
label |
Lopez, Vanessa ; Uren, Victoria ; Motta, Enrico and Pasin, Michele (2007). AquaLog:
an ontology-driven question answering system for organizational semantic intranets.
Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 5(2)
pp. 72–105. |
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Title |
AquaLog: an ontology-driven question answering system for organizational semantic
intranets |
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in dataset |
oro |