OGC Geographic Information Service Deductive Semantic Reasoning Based on Description Vocabularies Reduction

doi:10.11947/j.AGCS.2015.20140021

Abstract

Abstract: As geographic information interoperability and sharing developing, more and more interoperable OGC (open geospatial consortium) Web services (OWS) are generated and published through the internet. These services can facilitate the integration of different scientific applications by searching, finding, and utilizing the large number of scientific data and Web services. However, these services are widely dispersed and hard to be found and utilized with executive semantic retrieval. This is especially true when considering the weak semantic description of geographic information service data. Focusing on semantic retrieval and reasoning of the distributed OWS resources, a deductive and semantic reasoning method is proposed to describe and search relevant OWS resources. Specifically, ①description words are extracted from OWS metadata file to generate GISe ontology-database and instance-database based on geographic ontology according to basic geographic elements category, ②a description words reduction model is put forward to implement knowledge reduction on GISe instance-database based on rough set theory and generate optimized instances database, ③utilizing GISe ontology-database and optimized instance-database to implement semantic inference and reasoning of geographic searching objects is used as an example to demonstrate the efficiency, feasibility and recall ration of the proposed description-word-based reduction model.

Key words: rough set theory, vocabulary reduction, geographic information services, geographic ontology, semantic reasoning

CLC Number:

P208

MIAO Lizhi, XU Jie, ZHOU Ya, CHENG Wenchao. OGC Geographic Information Service Deductive Semantic Reasoning Based on Description Vocabularies Reduction[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(9): 1029-1035.

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