DOI: 10.1007/978-3-540-74851-9_2
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Ontology-Based Question Answering for Digital Libraries

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Cited by 25 publications
(23 citation statements)
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“…In this article, we additionally discuss a case study carried out at British Telecom in which the ORAKEL natural language interface was successfully applied to offer enhanced search over a digital library. The application of ORAKEL as well as other tools to the BT use case has been previously described in [9].…”
Section: Methodsmentioning
confidence: 99%
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“…In this article, we additionally discuss a case study carried out at British Telecom in which the ORAKEL natural language interface was successfully applied to offer enhanced search over a digital library. The application of ORAKEL as well as other tools to the BT use case has been previously described in [9].…”
Section: Methodsmentioning
confidence: 99%
“…The only requirement on the language is that it provides extralogical predicates for counting and for numerical comparisons. 9 …”
Section: Query Conversionmentioning
confidence: 99%
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“…These patterns determine the structure of the questions and disclose the most interesting information within the specific domain. As research has shown that digital libraries can benefit from semantic technologies and tools ( [10,3]), these query patterns are conceived as RDF-like graphs and they are shown to be generated from an even smaller set of graph patterns, here called signatures. Finally, we express our query patterns into two well-known query languages, namely Datalog and SPARQL.…”
Section: Introductionmentioning
confidence: 99%