Reasoning about fuzzy temporal and spatial information from the Web /:
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 a...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore ; Hackensack, NJ :
World Scientific,
©2010.
|
| Schriftenreihe: | Intelligent information systems ;
v. 3. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xiii, 594 pages) : illustrations. |
| Bibliographie: | Includes bibliographical references (pages 575-591) and index. |
| ISBN: | 9789814307901 9814307904 |
Internformat
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| 245 | 1 | 0 | |a Reasoning about fuzzy temporal and spatial information from the Web / |c Steven Schockaert, Martine de Cock, Etienne Kerre. |
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| 504 | |a Includes bibliographical references (pages 575-591) and index. | ||
| 505 | 0 | |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. | |
| 520 | |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. | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Spatial systems. |0 http://id.loc.gov/authorities/subjects/sh85126350 | |
| 650 | 6 | |a Ensembles flous. | |
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| 700 | 1 | |a Kerre, Etienne E. |1 https://id.oclc.org/worldcat/entity/E39PBJcWtdWJWMTbYbr6VXJ4bd |0 http://id.loc.gov/authorities/names/n92041286 | |
| 776 | 0 | 8 | |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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| contents | 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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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| illustrated | Illustrated |
| indexdate | 2024-11-26T14:49:03Z |
| institution | BVB |
| isbn | 9789814307901 9814307904 |
| language | English |
| oclc_num | 742233552 |
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| physical | 1 online resource (xiii, 594 pages) : illustrations. |
| psigel | ZDB-4-EBU |
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| publishDateSearch | 2010 |
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| series | Intelligent information systems ; |
| series2 | Intelligent information systems ; |
| spelling | Schockaert, Steven. https://id.oclc.org/worldcat/entity/E39PCjrPydbp4Ct3Px9GdWrC33 http://id.loc.gov/authorities/names/nb2010033496 Reasoning about fuzzy temporal and spatial information from the Web / Steven Schockaert, Martine de Cock, Etienne Kerre. Singapore ; Hackensack, NJ : World Scientific, ©2010. 1 online resource (xiii, 594 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Intelligent information systems ; v. 3 Includes bibliographical references (pages 575-591) and index. 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. 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. Print version record. Fuzzy sets. http://id.loc.gov/authorities/subjects/sh85052627 Spatial systems. http://id.loc.gov/authorities/subjects/sh85126350 Ensembles flous. Systèmes spatiaux. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Fuzzy sets fast Spatial systems fast Cock, Martine de. https://id.oclc.org/worldcat/entity/E39PBJf4cXKFkfRmgKP9gCW7HC http://id.loc.gov/authorities/names/nb2010033497 Kerre, Etienne E. https://id.oclc.org/worldcat/entity/E39PBJcWtdWJWMTbYbr6VXJ4bd http://id.loc.gov/authorities/names/n92041286 Print version: Schockaert, Steven. Reasoning about fuzzy temporal and spatial information from the Web. Singapore ; Hackensack, NJ : World Scientific, 2011 9789814307895 (OCoLC)587219911 Intelligent information systems ; v. 3. http://id.loc.gov/authorities/names/no2009191890 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=374803 Volltext |
| spellingShingle | Schockaert, Steven Reasoning about fuzzy temporal and spatial information from the Web / Intelligent information systems ; 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. Fuzzy sets. http://id.loc.gov/authorities/subjects/sh85052627 Spatial systems. http://id.loc.gov/authorities/subjects/sh85126350 Ensembles flous. Systèmes spatiaux. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Fuzzy sets fast Spatial systems fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85052627 http://id.loc.gov/authorities/subjects/sh85126350 |
| title | Reasoning about fuzzy temporal and spatial information from the Web / |
| title_auth | Reasoning about fuzzy temporal and spatial information from the Web / |
| title_exact_search | Reasoning about fuzzy temporal and spatial information from the Web / |
| title_full | Reasoning about fuzzy temporal and spatial information from the Web / Steven Schockaert, Martine de Cock, Etienne Kerre. |
| title_fullStr | Reasoning about fuzzy temporal and spatial information from the Web / Steven Schockaert, Martine de Cock, Etienne Kerre. |
| title_full_unstemmed | Reasoning about fuzzy temporal and spatial information from the Web / Steven Schockaert, Martine de Cock, Etienne Kerre. |
| title_short | Reasoning about fuzzy temporal and spatial information from the Web / |
| title_sort | reasoning about fuzzy temporal and spatial information from the web |
| topic | Fuzzy sets. http://id.loc.gov/authorities/subjects/sh85052627 Spatial systems. http://id.loc.gov/authorities/subjects/sh85126350 Ensembles flous. Systèmes spatiaux. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Fuzzy sets fast Spatial systems fast |
| topic_facet | Fuzzy sets. Spatial systems. Ensembles flous. Systèmes spatiaux. COMPUTERS Enterprise Applications Business Intelligence Tools. COMPUTERS Intelligence (AI) & Semantics. Fuzzy sets Spatial systems |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=374803 |
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