A Pilot Study of a Predicate-Based Vector Space Model for a Biomedical Search Engine
Document Type
Conference Proceeding
Department
Information Systems and Technology (CGU)
Publication Date
2011
Disciplines
Databases and Information Systems | Health Information Technology
Abstract
A search engine that supports finding precise biomedical statements, but also complementary, and contrasting information would greatly help biomedical researchers. We propose the use of predicates in a search engine's underlying data structure to accomplish this. A predicate is a triple that combines two phrases with a predicate. We report on the development and evaluation of a search engine that includes the predicates in its underlying data structure. The evaluation of the search engine was conducted by comparing three different approaches: keyword-based search, triple-based search, and an additive search that combines keywords and predicates. Cancer researchers provided the queries, relevant to their ongoing work, and evaluated the outcome in a double-blind fashion. The results showed that the combined approach, which combines triple-based and keyword-based approaches, always outperformed the 2 other approaches.
Rights Information
© 2011 Institute of Electrical and Electronics Engineers
Terms of Use & License Information
DOI
10.1109/BIBMW.2011.6112537
Recommended Citation
Myungjae Kwak; Leroy, G.; Martinez, J.D., "A pilot study of a predicate-based vector space model for a biomedical search engine," Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on , vol., no., pp.1001,1003, 12-15 Nov. 2011 doi: 10.1109/BIBMW.2011.6112537
