Authors:
Fatiha Boubekeur
1
;
Sabrina Cherdioui
1
and
Yassine Djouadi
2
Affiliations:
1
Mouloud Mammeri University, Algeria
;
2
USTHB University, Algeria
Keyword(s):
Knowledge Discovery, Biomedical Literature, MEDLINE, MeSH Concepts, Semantic Relatedness, Swanson’s Discovery.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
BioInformatics & Pattern Discovery
;
Concept Mining
;
Information Extraction
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Mining Text and Semi-Structured Data
;
Symbolic Systems
Abstract:
Knowledge discovery in literature aims at searching for hidden and previously unknown knowledge within the published literature. Swanson’s discoveries on fish oil/Raynaud disease or migraine/magnesium connections from MEDLINE, an online bibliographic biomedical database, exemplify such discovery. In this paper, we present a novel approach for literature-based knowledge discovery that relies on the joint use of (1) flexible information retrieval techniques and (2) concepts’ semantic relatedness to discover hidden connections between MeSH concepts in the published biomedical scientific literature. The approach has been tested by replicating the Swanson's early discovery on fish oil/Raynaud disease connection. The obtained results show the effectiveness of our approach.