G-Bean: an ontology-graph based web tool for biomedical literature retrieval
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Abstract
Currently, most people use PubMed to search the MEDLINE database, an
important bibliographical information source for life science and biomedical
information. However, PubMed has some drawbacks that make it difficult to find
relevant publications pertaining to users' individual intentions, especially
for non-expert users. To ameliorate the disadvantages of PubMed, we developed
G-Bean, a graph based biomedical search engine, to search biomedical articles
in MEDLINE database more efficiently.G-Bean addresses PubMed's limitations with
three innovations: parallel document index creation,ontology-graph based query
expansion, and retrieval and re-ranking of documents based on user's search
intention.Performance evaluation with 106 OHSUMED benchmark queries shows that
G-Bean returns more relevant results than PubMed does when using these queries
to search the MEDLINE database. PubMed could not even return any search result
for some OHSUMED queries because it failed to form the appropriate Boolean
query statement automatically from the natural language query strings. G-Bean
is available at http://bioinformatics.clemson.edu/G-Bean/index.php.G-Bean
addresses PubMed's limitations with ontology-graph based query expansion,
automatic document indexing, and user search intention discovery. It shows
significant advantages in finding relevant articles from the MEDLINE database
to meet the information need of the user.
Description
Date
2014-01-08
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Keywords
cs.IR, test