Title :
Using Rough Set theory to support OWSs semantic reasoning
Author :
Lizhi Miao ; Donglai Jiao ; Jie Xu ; Ya Zhou ; Wenchao Cheng
Author_Institution :
Coll. of Geogr. & Biol. Inf., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
This paper reports our research on utilizing discernibility matrix method of Rough Set (RS) theory to improve the OGC web services (OWSs) semantic search. Based on RS theory, we build a description vocabulary reduction model involving attributes and spatial relation for OWSs and implement knowledge reduction on Geographic Information Service (GISe) instance-database. Also, the semantic reasoning framework is generated to construct the prototype using the reduction model, which implements semantic search, reasoning and semantic similarity evaluation regarding to spatial relation. We expect this research to support GISe semantic search in an intelligent manner.
Keywords :
Web services; geographic information systems; inference mechanisms; information retrieval; rough set theory; semantic Web; GISe instance-database; GISe semantic search; OGC Web service semantic search; OWS semantic reasoning framework; RS theory; description vocabulary reduction model; discernibility matrix method; geographic information service instance-database; knowledge reduction; rough set theory; semantic similarity evaluation; Cognition; Databases; Information services; Ontologies; Semantics; Vocabulary; Web services; OGC web service; geographic ontologies; rough set theory; semantic reasoning; vocabulary reduction;
Conference_Titel :
Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
Conference_Location :
Beijing
DOI :
10.1109/Agro-Geoinformatics.2014.6910595
