Title :
Research on the Semantic Similarity Computation Method Based on EUO
Author_Institution :
Sch. of Econ. & Manage., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
Abstract :
This paper carries out the study on semantic similarity in the semantic information search and combines the characteristics of e-commerce information field to construct the method of EUO. The paper further comes up with the idea as to carry out semantic similarity computation combining two semantic similarity computation methods, namely, information content method and link distance method on the basis of EUO. This method utilizes upper-level ontology and relevant feedback search method to extract the semantic feature vectors in the page information of the Internet. Experiments have also proved that the semantic similarity computation method based on EUO can relatively better reflect the semantic similarity relations among words in the field of e-commerce.
Keywords :
Internet; electronic commerce; knowledge acquisition; ontologies (artificial intelligence); EUO; Internet; e-commerce information field; relevant feedback search method; semantic feature vector extraction; semantic information search; semantic similarity computation method; upper-level ontology; Conference management; Data mining; Information analysis; Information resources; Knowledge management; Ontologies; Paper technology; Search methods; Technology management; Vocabulary; Semantic search; e-commerce; information content; similarity;
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Print_ISBN :
978-1-4244-5397-9
Electronic_ISBN :
978-1-4244-5398-6
DOI :
10.1109/WKDD.2010.107