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|a Schockaert, Steven.
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|a Reasoning about fuzzy temporal and spatial information from the Web /
|c Steven Schockaert, Martine de Cock, Etienne Kerre.
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|a Singapore ;
|a Hackensack, NJ :
|b World Scientific,
|c ©2010.
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|a 1 online resource (xiii, 594 pages) :
|b illustrations.
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|a text
|b txt
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|a Intelligent information systems ;
|v v. 3
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|a Includes bibliographical references (pages 575-591) and index.
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|a 1. Introduction. 1.1. Document retrieval. 1.2. Intelligent information access. 1.3. Recent trends. 1.4. The role of time and space. 1.5. Overview -- 2. Preliminaries from fuzzy set theory. 2.1. Vagueness. 2.2. Fuzzy logic connectives. 2.3. Fuzzy sets. 2.4. Fuzzy relations. 2.5. Criticism of fuzzy set theory -- 3. Relatedness of fuzzy sets. 3.1. Introduction. 3.2. Definition. 3.3. Properties. 3.4. Proof of the transitivity table -- 4. Representing fuzzy temporal information. 4.1. Introduction. 4.2. Temporal relations. 4.3. Definitions based on relatedness measures. 4.4. Properties. 4.5. Evaluating the fuzzy temporal relations -- 5. Reasoning about fuzzy temporal information. 5.1. Introduction. 5.2. Temporal reasoning. 5.3. Complete reasoning about fuzzy time spans. 5.4. Efficient reasoning about fuzzy time spans -- 6. Event-based information retrieval. 6.1. Introduction. 6.2. Temporal information extraction. 6.3. Extracting time spans. 6.4. Extracting qualitative relations. 6.5. Fuzzy temporal reasoning. 6.6. Experimental results -- 7. Representing fuzzy spatial information. 7.1. Introduction. 7.2. Spatial relations. 7.3. Definitions based on relatedness measures. 7.4. Fuzzifying the RCC. 7.5. Interpretation of fuzzy RCC relations -- 8. Reasoning about fuzzy spatial information. 8.1. Introduction. 8.2. Spatial reasoning. 8.3. Satisfiability of fuzzy topological information. 8.4. Properties -- 9. Geographic information retrieval. 9.1. Introduction. 9.2. Acquisition of geographical knowledge. 9.3. Location approximation and local search. 9.4. Establishing fuzzy footprints. 9.5. Modelling the neighbourhoods of Cardiff : A case study -- Conclusions.
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|a This book comprehensively studies fuzzy temporal and spatial information, starting from the basics on fuzzy set theory and temporal/spatial reasoning, the development of a new model to represent fuzzy temporal/spatial information, the study of efficient and complete reasoning algorithms, and their application in an information retrieval context. This useful volume presents the first approach that goes beyond merely representing information, by thoroughly addressing a variety of reasoning tasks. It also focuses on applications in the domain of information retrieval and demonstrating the practical importance of the proposed framework.
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|a Print version record.
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Fuzzy sets.
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650 |
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|a Spatial systems.
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|a Ensembles flous.
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|a Systèmes spatiaux.
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|a COMPUTERS
|x Enterprise Applications
|x Business Intelligence Tools.
|2 bisacsh
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|a COMPUTERS
|x Intelligence (AI) & Semantics.
|2 bisacsh
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|a Fuzzy sets
|2 fast
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|a Spatial systems
|2 fast
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|a Cock, Martine de.
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|a Kerre, Etienne E.
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|i Print version:
|a Schockaert, Steven.
|t Reasoning about fuzzy temporal and spatial information from the Web.
|d Singapore ; Hackensack, NJ : World Scientific, 2011
|z 9789814307895
|w (OCoLC)587219911
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830 |
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0 |
|a Intelligent information systems ;
|v v. 3.
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