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
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;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732578