GeoSpatial Semantics
Editat de Frederico Fonseca, M. Andrea Rodriguez, Sergei Levashkinen Limba Engleză Paperback – 16 noi 2007
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Specificații
ISBN-13: 9783540768753
ISBN-10: 3540768750
Pagini: 304
Ilustrații: V, 289 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:2007
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540768750
Pagini: 304
Ilustrații: V, 289 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:2007
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Models and Languages for Geo-Ontologies.- Two Types of Hierarchies in Geospatial Ontologies.- Semantic Annotation of Maps Through Knowledge Provenance.- Architecture for a Grounded Ontology of Geographic Information.- Alignment and Integration of Geo-Ontologies.- Towards Effective Geographic Ontology Matching.- An Algorithm for Merging Geographic Datasets Based on the Spatial Distributions of Their Values.- Structure-Based Methods to Enhance Geospatial Ontology Alignment.- Ontology-Based Spatial Information Retrieval.- Geographic Information Retrieval by Topological, Geographical, and Conceptual Matching.- A Rule-Based Description Framework for the Composition of Geographic Information Services.- Algorithm, Implementation and Application of the SIM-DL Similarity Server.- Formal Representation for GeoSpatial Data.- A Location and Action-Based Model for Route Descriptions.- Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks.- Modeling Spatio-temporal Network Computations: A Summary of Results.- Integration of Semantics into Spatial Query Processing.- Building Geospatial Ontologies from Geographical Databases.- Applying Spatial Reasoning to Topographical Data with a Grounded Geographical Ontology.- Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data.- Short Papers.- Semantic Similarity Applied to Generalization of Geospatial Data.- Towards Semantics for Map Styles.- DAGIS: A Geospatial Semantic Web Services Discovery and Selection Framework.- The Gravity Data Ontology: Laying the Foundation for Workflow-Driven Ontologies.