Title :
The Method of Extracting Refined Semantic Similarity among Objects of Heterogeneous Information Sources
Author :
Ying, Gao ; Ling, Deng Xia
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol. Guangdong, Guangzhou
Abstract :
In order to deal with massive data sources in Web, this paper provides a unified conceptual model facing different format data sources-SDSModel and a semantic similarity analysis method based-SDSModel. This method proposed by this paper is semantic-driven and only needs a small amount of manual intervention.
Keywords :
Internet; data handling; SDSModel; World Wide Web; heterogeneous information sources; semantic similarity; Bipartite graph; Computer science; Computer science education; Data mining; Data models; Educational technology; Geoscience and remote sensing; Humans; Production; XML; bipartite graph; semantic similarity;
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
DOI :
10.1109/ETTandGRS.2008.213
