• DocumentCode
    2728301
  • Title

    A Multi-Ontologies Aided Semantic Annotation Model design

  • Author

    GuanYu, Li ; XiaoYin, Liu ; Hai, Li Zhao

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    204
  • Lastpage
    207
  • Abstract
    The gigantic volume of web content forces people to rely on machines to help to search for their required information. Nowadays, although the search engine can be widely used to retrieve information, but which is neither complete nor accurate, its essential reason is that the semantics of web content can´t be understood absolutely by machine. Semantic Web is considered as a straightforward solution to solve this problem. The implementation of the Semantic Web requires the widespread availability of semantic annotations for existing and new documents on the existing Web. For this reason, a Multi-ontologies Aided Semantic Annotation Model (MASAM) is proposed and a related prototype system named as MASAS (Multi-ontologies Aided Semantic Annotation System) is designed. The experimental results show that the proposed model and the corresponding algorithm are feasible and effective.
  • Keywords
    information retrieval; ontologies (artificial intelligence); search engines; semantic Web; MASAM; Semantic Web; gigantic volume; information retrieval; multiontologies aided semantic annotation model design; search engine; web content; Correlation; Data mining; Libraries; Ontologies; Semantic Web; Semantics; Web pages; Information Extraction; Information identification; Ontology; Ontology Integration; Semantic Annotation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9699-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2011.5982290
  • Filename
    5982290