DocumentCode :
498388
Title :
Research on Method of Sentence Similarity Based on Ontology
Author :
Wang, Hongsheng ; Jing, Lu ; Shao, Hong
Author_Institution :
Coll. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
Volume :
2
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
465
Lastpage :
469
Abstract :
Text similarity counting has been widely used in several fields. This paper proposes a sentence similarity based on ontology algorithm .With the study of sentence similarity, this paper improves a new sentence similarity computation method based on similarity word pair. Counting similarity between key words in the sentences through Ontology. The method makes the similarity of words level in the sentence more accuracy and more identical with acknowledge of people, which improves accuracy of sentences similarity. Comparing with traditional method ,experiments prove that this method is valid. The research can be applied in the field of search engine based on ontology and knowledge searching.
Keywords :
ontologies (artificial intelligence); search engines; text analysis; word processing; computation method; knowledge searching; ontology; search engine; text similarity counting; Computational modeling; Costs; Indexing; Information analysis; Information retrieval; Information science; Intelligent systems; Ontologies; Search engines; Speech analysis; ontology; search engine; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.86
Filename :
5209399
Link To Document :
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