NDLI: A Hybrid Method for Semantic Annotation of Chinese Web Pages

Content Provider	IEEE Xplore Digital Library
Author	Tao Jing Wanli Zuo Fengling He
Copyright Year	2008
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Ji Lin Univ., Changchun (Tao Jing; Wanli Zuo; Fengling He)
Abstract	To fulfill the vision of the semantic Web, we need a method of automatic semantic annotation. This paper has proposed a methodology for semantic annotation of Chinese Web pages, which is guided by domain ontology. The statistical method and the natural language processing technology have been employed. The mapping from sentences to RDF representations has been realized through the identification phase and the grouping phase. The major technical contributions are: the domain lexicon constructed by the statistical method rather than the linguistic ontology has been used as the external domain knowledge; the explicit property type tagging algorithm has been used to recognize both instances and properties of sentences to facilitate relation extraction; after building dependency trees of sentences, the identified instances and properties can be grouped into RDF statements according to the dependency relationship among Chinese words. The experimental result shows that this method is effective.
Starting Page	252
Ending Page	256
File Size	205722
Page Count	5
File Format	PDF
ISBN	9780769534800
DOI	10.1109/FITME.2008.105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-20
Publisher Place	Loughborough
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	dependency tree Statistical analysis natural language processing Ontologies Resource description framework Information management Data mining Information technology Seminars Web pages Tagging Natural language processing ontology
Content Type	Text
Resource Type	Article

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