• DocumentCode
    680216
  • Title

    G-Bean: An ontology-graph based web tool for biomedical literature retrieval

  • Author

    Yuanyuan Zhang ; Liang Dong ; Lin Li ; Srimani, Pradip K. ; Yu, Philip S. ; Wang, James Z.

  • Author_Institution
    Sch. of Comput., Clemson Univ., Clemson, SC, USA
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    623
  • Lastpage
    623
  • Abstract
    To address the need for an efficient and effective biomedical information retrieval system, this paper presents an ontology-graph based web tool, G-Bean (graph based biomedical search engine), for searching biomedical documents from the MEDLINE database. This search engine uses an ontology-graph based query expansion technique to expand the initial query with additional query terms and/or more specific query concepts, resulting in the retrieval of more accurate and relevant information from the database. A multithreading parallel process is used to automatically generate the document index to address the inefficiency of the PubMed´s manual indexing process. This search engine can also discover user´s true search intention and retrieve additional relevant articles based on articles that he/she has already shown interest in.
  • Keywords
    Internet; information retrieval systems; medical information systems; ontologies (artificial intelligence); parallel processing; query processing; question answering (information retrieval); search engines; G-Bean; MEDLINE database; PubMed manual indexing process; biomedical document searching; biomedical information retrieval system; graph based biomedical search engine; multithreading parallel process; ontology-graph based Web tool; ontology-graph based query expansion technique; Bioinformatics; Educational institutions; Indexing; Ontologies; Search engines; biomedical information retrieval; query expansion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/BIBM.2013.6732578
  • Filename
    6732578