Authors:
Jihen Majdoubi
;
Mohamed Tmar
and
Faiez Gargouri
Affiliation:
Higher Institute of Information Technologie and Multimedia, Tunisia
Keyword(s):
Medical article, Conceptual indexing, Language models, MeSH thesaurus.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Informatics in Control, Automation and Robotics
;
Information Systems Analysis and Specification
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
Language modeling approach plays an important role in many areas of natural language processing including speech recognition, machine translation, and information retrieval. In this paper, we propose a contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings) thesaurus, then we propose a tool for indexing medical articles called SIMA (System of Indexing Medical Articles) which uses a language model to extract the MeSH descriptors representing the document. To assess the relevance of a document to a MeSH descriptor, we estimate the probability that the MeSH descriptor would have been generated by language model of this document.