Steven Schockaert
ABSTRACT
Temporal and spatial information in text documents is often expressed in a qualitative way. Moreover, both are frequently affected by vagueness, calling for appropriate extensions of traditional frameworks for qualitative reasoning about time and space. Our research aims at defining such extensions based on fuzzy set theory, and applying the resulting frameworks to two important kinds of intelligent information retrieval, viz. temporal question answering and geographic information retrieval.
- J.F. Allen. Maintaining knowlegde about temporal intervals. Communications of the ACM, 26(11):832--843, 1983. Google Scholar
Digital Library
- D.A. Randell, Z. Cui and A.G. Cohn. A spatial based on regions and connection. In Proceedings 3rd International Conference on Knowledge Representation and Reasoning, pages 165--176,Google Scholar
- S. Schockaert, C. Cornelis, M. De Cock, and Fuzzy spatial relations between vague regions. Proceedings of the 3rd IEEE Conference on Intelligent Systems, pages 221--226, 2006.Google ScholarCross Ref
- S. Schockaert, M. De Cock, and E. Kerre. Qualitative temporal reasoning about vague events. In Proceedings of the 20th International Joint Conference on Artificial Intelligence, pages 569--574, 2007. Google ScholarDigital Library
- S. Schockaert, M. De Cock, and E. Kerre. Fuzzifying Allen's temporal interval relations. IEEE Transactions on Fuzzy Systems, to appear. Google ScholarDigital Library
- S. Schockaert and M. De Cock. Reasoning about Vague Topological Information. Submitted.Google Scholar
Index Terms
- Fuzzy temporal and spatial reasoning for intelligent information retrieval
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