The E-business (R)evolution: living and working in an interconnected world
The E-business (R)evolution: living and working in an interconnected world
Communications of the ACM
Granular partitions and vagueness
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Modeling Domain Knowledge Using Explicit Conceptualization
IEEE Expert: Intelligent Systems and Their Applications
Proceedings of the 16th international conference on World Wide Web
Hybrid Ontology Integration for Distributed System
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
Building a global normalized ontology for integrating geographic data sources
Computers & Geosciences
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In this paper, we propose an approach to semantically retrieve geospatial objects within an Intranet by means of their metadata. It consists of structuring a semantic repository in order to provide the inclusion mechanisms of distributed data to be retrieved, as well as the extraction of those geospatial objects with respect to their conceptual similarity. The similarity measure is based on a conceptual distance (DISC algorithm), which consists of determining the levels of similarity among the objects for aiding in the construction of an engine of inclusion and extraction of them. This approach provides a mechanism to handle the knowledge of the geospatial objects distributed on different servers in order to unify the process by means of their semantics. As case study, a web-mapping application called SemGsearch has been designed. It provides to the user an engine of semantic retrieval and integration. The result is focused on obtaining a weighting list (ranking) of geospatial objects semantically retrieved by a custom query.