Screen LibraryGeographic knowledge infrastructure : applications to territorial intelligence and smart cities /
Geographic Knowledge Engineering: Applications to Territorial Intelligence and Smart Cities studies the specific nature of geographic knowledge and the structure of geographic knowledge bases. Geographic relations, ontologies, gazetteers and rules are detailed as the basic components of such bases,...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
ISTE Press ; Elsevier,
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| Publisher Address: | London : Oxford : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
https://www.sciencedirect.com/science/book/9781785482434 |
| Summary: |
Geographic Knowledge Engineering: Applications to Territorial Intelligence and Smart Cities studies the specific nature of geographic knowledge and the structure of geographic knowledge bases. Geographic relations, ontologies, gazetteers and rules are detailed as the basic components of such bases, and these rules are defined to develop our understanding of the mechanisms of geographic reasoning. The book examines various problems linked to geovisualization, chorems, visual querying and interoperability to shape knowledge infrastructure for smart governance. |
| Carrier Form: | 1 online resource : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780081023525 0081023529 |
| Index Number: | HT166 |
| CLC: | TU984-37 |
| Contents: |
Front Cover -- Geographic Knowledge Infrastructure: Applications to Territorial Intelligence and Smart Cities -- Copyright -- Contents -- Preface -- 1. From Geodata to Geographic Knowledge -- 1.1. A rapid history of urban planning and information technology -- 1.2. Territorial intelligence, smart cities and smart planning -- 1.3. Data acquisition sensors -- 1.4. About reasoning -- 1.5. Promises of geographic knowledge -- 1.6. Conclusion: advocacy for geographic knowledge infrastructures -- 2. Knowledge Representation -- 2.1. Automated reasoning -- 2.2. Logical formalisms -- 2.3. RDF (Resource Description Framework) -- 2.4. Rule modeling -- 2.5. About mathematical models -- 2.6. Case-based reasoning -- 2.7. Conclusion: what is special for geographic knowledge? -- 3. Towards Geographic Knowledge Systems -- 3.1. Lessons learnt from GIS -- 3.2. GKS structure -- 3.3. Towards the integration of external knowledge -- 3.4. Prolegomena and principles -- 3.5. About quality of geographic knowledge bases -- 3.6. About multimedia knowledge -- 3.7. First conclusion on GKS -- 4. Geographic Objects -- 4.1. About the semantics of geographic objects -- 4.2. From lines to ribbons -- 4.3. Mutation of object geometric types -- 4.4. Fuzzy geographic objects -- 4.5. About altitude -- 4.6. Continuous fields -- 4.7. Quality and geometric homology relations -- 4.8. Geographic objects and projects -- 4.9. Final remarks concerning geographic objects -- 5. Geographic Relations -- 5.1. Spatial operations -- 5.2. Spatial relations -- 5.3. Characteristics of spherical spatial relations -- 5.4. Spatial relations in urban space -- 5.5. Ribbon operations and relations -- 5.6. Mutation of topological relations according to the granularity of interest -- 5.7. Other geographic relations -- 5.8. Conclusion regarding geographic relations -- 6. Geographic Ontologies -- 6.1. Introduction. 6.2. Generalities about ontologies -- 6.3. Towntology: ontologies for urban planning -- 6.4. Characteristics of geographic ontologies -- 6.5. Examples of geographic ontologies -- 6.6. Fusioning ontologies -- 6.7. Conclusion and challenges regarding geographic ontologies -- 7. Complex Geographic Objects and Structures -- 7.1. Simple collections -- 7.2. Ribbon graphs and networks -- 7.3. Tessellations -- 7.4. Shape grammars and applications to geographic objects -- 7.5. Complex geographic objects and their relations -- 7.6. Conclusion -- 8. Gazetteers and Multilingualism -- 8.1. Generalities -- 8.2. Examples -- 8.3. Existing systems -- 8.4. Inference rules for matching geographic ontologies and gazetteers in different languages -- 8.5. Enriching geographic knowledge bases by rules -- 8.6. Conclusion -- 9. Geographic Knowledge Discovery and Data Mining -- 9.1. Introduction to data mining -- 9.2. Elements of spatial data mining -- 9.3. Conclusion -- 10 Geographic Applicative Rules -- 10.1. About rules in information technology -- 10.2. Introductory example regarding street naming -- 10.3. Geographic knowledge and reasoning -- 10.4. Study of the semantics of the geographic rules -- 10.5. Toward applicative geographic rules modeling -- 10.6. Conclusion about applicative geographic rules -- 11. Geovisualization and Chorems -- 11.1. Graphics semiology -- 11.2. From vision analytics to geovisualization -- 11.3. Chorems -- 11.4. Dashboards for smart cities -- 11.5. Conclusions -- 12. GKS: Querying and Interoperability -- 12.1. Geographic queries -- 12.2. Geographic knowledge bases interoperability -- 12.3. Conclusion -- 13. Conclusion: Knowledge as Infrastructure for Smart Governance -- 13.1. Business Intelligence -- 13.2. GeoSpatial Business Intelligence or geo-intelligence -- 13.3. Territorial intelligence. 13.4. Knowledge as infrastructure for smart governance -- 13.5. Conclusion, from knowledge to wisdom -- Bibliography -- Index -- Back Cover. |