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Soft Computing
Published in: Soft Computing 8/2010

01-06-2010 | Focus

Reasoning about fuzzy temporal information from the web: towards retrieval of historical events

Authors: Steven Schockaert, Martine De Cock, Etienne E. Kerre

Published in: Soft Computing | Issue 8/2010

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Abstract

When searching for information about historical events, queries are naturally formulated using temporal constraints. However, the structured temporal information needed to support such constraints is usually not available to information retrieval systems. Furthermore, the temporal boundaries of most historical events are inherently ill-defined, calling for suitable extensions of classical temporal reasoning frameworks. In this paper, we propose a framework based on a fuzzification of Allen’s Interval Algebra to cope with these issues. By using simple heuristic techniques to extract temporal information from web documents, we initially focus more on recall than on precision, relying on the subsequent application of a fuzzy temporal reasoner to improve the reliability of the extracted information, and to deal with conflicts that arise because of the vagueness of events. Experimental results indicate that a consistent and reliable knowledge base of fuzzy temporal relations can thus be obtained, which effectively allows us to target temporally constrained retrieval tasks.
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Footnotes
1
Questions taken from the 2006 CLEF English–Dutch question set.
 
9
We used the POS–tagger from the Stanford NLP Group, available from http://​nlp.​stanford.​edu.
 
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Metadata
Title
Reasoning about fuzzy temporal information from the web: towards retrieval of historical events
Authors
Steven Schockaert
Martine De Cock
Etienne E. Kerre
Publication date
01-06-2010
Publisher
Springer-Verlag
Published in
Soft Computing / Issue 8/2010
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-009-0471-8

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