Querying Temporal Databases Using Controlled Natural Language

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Querying Temporal Databases Using Controlled Natural Language
Recent years have shown a surge in interest in temporal database systems, which allow users to store time-dependent intbrmation. We present a novel controlled natural language interface to temporal databases, based on translating natural language questions into SQL/Telnporal, a temporal database query language. The syntactic analysis is done using the Type-Logical Grammar framework, highlighting its utility not; only as a theoretical fralnework but also as a practical tool. The semantic analysis is done using a novel theory of the semantics of temporal questions, focusing on the role of temporal preposition phrases rather than the more traditional focus on tense and aspect. Our translation method is considerably simpler than previous attempts in this direction. We present a prototype software implementation.
Rani Nelken, Nissim Francez
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Authors Rani Nelken, Nissim Francez
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