Author:
Kay Khaing Win
Affiliation:
University of Computer Studies, Myanmar
Keyword(s):
Geospatial data, geospatial semantic, semantic query, spatial reasoning, geospatial semantic web.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Case-Based Reasoning
;
Enterprise Information Systems
;
Pattern Recognition
;
Symbolic Systems
;
Theory and Methods
Abstract:
In today’s fast-growing information age, currently available methods for finding and using information on the Web are often insufficient. Today’s retrieval methods are typically limited to keywords searches or substring matches, therefore, users may often miss critical information when searching the web. After reviewing the real world Semantic Web, additional research is needed on the Geospatial Semantic Web. We are rich in geospatial data but poor in up-to-date geospatial information and knowledge that are ready to be used by anyone who wants to use. In this paper, we implement a framework of geospatial semantic query based on case based reasoning system that contributes to the development of geospatial semantic web. It is important to establish a geospatial semantics that support for effective spatial reasoning for performing geospatial semantic query. Compared to earlier keyword-based and information retrieval techniques that rely on syntax, we use semantic approaches in our spati
al queries.
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