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Relation-based document retrieval for biomedical IR
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1200
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| Title: | Relation-based document retrieval for biomedical IR |
| Authors: | Hu, Xiaohua
Zhou, Xiaohua
Li, Guangren
Lin, Xia
Zhang, Xiaodan |
| Keywords: | Human Papillomavirus Type 11
Organotypic Raft Culture
E1^E4 |
| Issue Date: | 9-May-2006 |
| Publisher: | Elsevier Science B.V. |
| Citation: | Virology, 351(2): pp. 271-279. http://dx.doi.org/10.1016/j.virol.2006.01.051 |
| Abstract: | In this paper, we explore the use of term relations in information retrieval
for precision-focused biomedical literature search. A relation is defined
as a pair of two terms which are semantically and syntactically related to each
other. Unlike the traditional “bag-of-word” model for documents, our model
represents a document by a set of sense-disambiguated terms and their binary
relations. Since document level co-occurrence of two terms, in many cases,
does not mean this document addresses their relationships, the direct use of relation
may improve the precision of very specific search, e.g. searching documents
that mention genes regulated by Smad4. For this purpose, we develop a
generic ontology-based approach to extract terms and their relations, and present
a betweenness centrality based approach to rank retrieved documents. A
prototyped IR system supporting relation-based search is then built for Medline
abstract search. We use this novel IR system to improve the retrieval result of
all official runs in TREC-2004 Genomics Track. The experiment shows promising
performance of relation-based IR. The average P@100 (the precision of
top 100 documents) for 50 topics is significantly raised from 26.37 %( the
P@100 of the best run is 42.10%) to 53.69% while the MAP (mean average
precision) is kept at an above-average level of 26.59%. The experiment also
shows the expressiveness of relations for the representation of information
needs, especially in the area of biomedical literature full of various biological
relations. |
| URI: | http://hdl.handle.net/1860/1200 |
| Appears in Collections: | Faculty Research and Publications (IST)
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