DocumentCode :
1639582
Title :
The Ontology Relation Extraction for Semantic Web Annotation
Author :
Li, Dong ; Huan, Linpeng
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai
fYear :
2008
Firstpage :
534
Lastpage :
541
Abstract :
The idea of the Semantic Web (SW) is based on metadata and the future usage scenarios of the SW assume the availability of metadata needed by agents and computer programs to perform sophisticated tasks. We have proposed an architecture needed to generate metadata for the SW. Our proposed architecture is designed to generate metadata from HTML Web Pages from the domain of our interest. The domain model is represented by using domain ontology. The focus of the paper is to investigate the automatic generation of metadata for the SWby relation extraction techniques. Our assumption is that any two web pages that have some kind of relationship must be connected by a link or a path. Our algorithm exploits the link structure of web using breadth first search for relation extraction. Relation extraction results show that hyperlink structure of the Web can be used for relation extraction.
Keywords :
meta data; ontologies (artificial intelligence); relational databases; semantic Web; tree searching; HTML Web page hyperlink structure; RDBMS; SWby relation extraction technique; automatic metadata generation architecture; breadth first search; domain ontology relation extraction; semantic Web annotation; Computer architecture; Data mining; Grid computing; Humans; Labeling; Ontologies; Search engines; Semantic Web; Service oriented architecture; Web pages; Ontology Relation Extraction; Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2008. CCGRID '08. 8th IEEE International Symposium on
Conference_Location :
Lyon
Print_ISBN :
978-0-7695-3156-4
Electronic_ISBN :
978-0-7695-3156-4
Type :
conf
DOI :
10.1109/CCGRID.2008.97
Filename :
4534259
Link To Document :
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