Identification of concept domains and its application in biomedical information retrieval
Auteurs
D. Dinh , and L. Tamine
Référence
Information Systems and e-Business Management, Vol. 13, No. 4, pp. 647-672, 2015
Description
With the explosive growth of biomedical information volumes, there is obviously an increasing need for developing effective and efficient tools for indexing and retrieval. Automatic indexing and retrieval in the biomedical domain is faced with several challenges such as recognition of terms denoting concepts and term disambiguation. In this paper, we are interested in identifying (sub-)domains of concepts in ontologies. We propose two algorithms for identifying the most appropriate (sub-)domain of a concept in the context of a document/query. We integrate these methods into a semantic indexing and retrieval framework. The experimental evaluation carried out on the OHSUMED collection shows that our approaches of semantic indexing and retrieval outperform the state-of-the-art approach.
