Applying Semantic Matching Techniques to Integration of Documentations and GIS -- A Case Study of Research Papers on YMS National Park
Date Issued
2009
Date
2009
Author(s)
Luo, Yuan-Fu
Abstract
There have been many approaches to using natural languages to make user interfaces of GIS more friendly. However, the lack of systematic expressions in natural languages frequently causes semantic gaps between users’ keyword searches and semantic inquires and thus inhibits functions of inquiry. his paper applies "semantic web" technology to search for geospatial knowledge, with the application involving the following six steps: establishment of semantic webs, definition of relationships, definition of the behavior of reactions, connection of multiple semantic nets, focus of the inference, extension the semantic net. This paper uses the Java language to combine tools such as Taiwan Academia Sinica''s "Chinese Parsing System", Protege and ArcGIS to create a semantic framework to integrate documentations and GIS, providing GIS data relevant to the document in use. In addition, Chinese Parsing Module, Semantic Matching Engine, and GIS display are used to improve existing methods of obtaining geospatial knowledge. Finally, this paper uses five scenarios to test the system mentioned above and analyze the effect of the Semantic Matching Engine in improving the performance of search. The results show the Semantic Matching Engine is significantly effective in this respect.his paper aims to make adjustment in existing establishment and application of semantic webs to specifically make them suitable for use in search for geospatial information. In addition, the Semantic Matching Engine developed in this paper can be used in search engines for increasing users’ semantic flexibility. The concepts in this paper are expected to be practically used to improve existing frameworks of GIS information integration to reach better performance in semantic searches.
Subjects
Spatial Information Management
Semantic Web
Ontology
Type
thesis
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