期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2016
卷号：7
期号：1
页码：1
DOI：10.5121/ijwest.2016.7101
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Web contents related to educational institutions as well as their geographic data of a country is an emerging field of data sharing and consolidating with suitable data repositories to extract useful information to improve and maintain the area-based quality of education. The information of these institutions is available in the unstructured or semi-structured format from heterogeneous sources on the web that originate challenges to develop a smarter method in finding specific information using traditional search engines. The integration of these heterogeneous data along with geographic information is a formidable task to explore implicit knowledge of educational institutions that assist people to improve these systems and it is still getting researchers’ attention. In this regard, our research demonstrates the feasibility of semantic web technologies for converting and integrating these unstructured or semi-structured information by introducing machine understandable description of resources and instances by consisting of their concepts and relations, called a repository name EduBD. This yields a magnificent knowledge graph with .75 million nodes, i.e. RDF triples to facilitate reasoning meaningful information by a graph based query language SPARQL. Furthermore, we utilized our knowledge-base EduBD with one more accessible spatial data source Geo-Bangladesh using Physical-Cyber-Social computing approach to examine spatial contents and social information of each institution and therefore achieved the semantic interoperability of our Linked Open Data (LOD) application by eliminating natural language polisemy problems.
关键词：Semantic Web; Ontology; Linked Open Data; Physical-Cyber-Social computing & Semantic Information Integration
