• DocumentCode
    183050
  • Title

    A semantic case based web 2.0 tag hierarchy construction framework

  • Author

    Yin Zhang ; Kening Gao ; Bin Zhang ; Li Gao

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ. Shenyang, Shenyang, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    616
  • Lastpage
    622
  • Abstract
    In contrast to tags with no inter-relation, web users are more familiar with concept systems with hierarchies, which could also be leveraged in various information retrieval applications. The construction of tag hierarchies relies on the analysis of tag semantic characteristics, while such characteristics are evidenced by semantic case objects which are co-related to tags. Based on such an observation, a semantic case based tag hierarchy construction framework is proposed, together with a semantic flow analysis based hierarchy construction algorithm. Experiment results show that the proposed framework provides an effective mechanism for studying and comparing available algorithms, and the semantic flow based hierarchy construction algorithm outperforms the other evaluated methods in various evaluation metrics.
  • Keywords
    Internet; information retrieval; semantic Web; Web users; information retrieval applications; semantic case based Web 2.0 tag hierarchy construction framework; semantic case objects; semantic flow analysis based hierarchy construction algorithm; tag semantic characteristics; Association rules; Dictionaries; Semantics; Standards; Superluminescent diodes; Support vector machines; Vegetation; Web 2.0; concept hierarchy; semantic case; tagging system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5147-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2014.6980905
  • Filename
    6980905