• DocumentCode
    3570090
  • Title

    Research on the Semantic Similarity Computation Method Based on EUO

  • Author

    Shi, HongXia

  • Author_Institution
    Sch. of Econ. & Manage., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
  • fYear
    2010
  • Firstpage
    257
  • Lastpage
    263
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/WKDD.2010.107
  • Filename
    5432641