Abstract
We propose a semantic search approach for geospatial information systems to resolve the issue of semantic heterogeneity in metadata catalogues. Using the Malaysian geospatial data infrastructure service portal, MyGDI Explorer, as a comparative case study, a semantic search tool developed in this work is based on the model-view-controller (MVC) approach, which comprises three major components, an ontology component modelled using the Malaysian Geospatial Standard (MS 1759) as a domain, a java-based middleware component using Apache-Jena API and a query-based semantic search engine developed in Java EE. In this paper, we present MyGeo-Explorer, a web application coupled with a semantic search engine for exploring geospatial information and illustrate the use of the tool with some common usage scenarios. We show how ontology-based semantic search provides more relevant search results as compared to traditional keyword search and helps to deal with the problems of semantic heterogeneity inherent in keywords definition.
Original language | English |
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Pages (from-to) | 18012-18020 |
Number of pages | 9 |
Journal | ARPN Journal of Engineering and Applied Sciences |
Volume | 10 |
Issue number | 23 |
Publication status | Published - Dec 2015 |
Externally published | Yes |
Keywords
- Geospatial information
- Knowledge management
- Ontology
- Semantic search engine
- Semantic web
ASJC Scopus subject areas
- Engineering(all)