Combination of endogenous clues for profiling inferred semantic relations: experiments with Gene Ontology.
Acquisition and enrichment of lexical resources is acknowledged as an important research in the area of computational linguistics. While such resources are often missing, specialized domains, ie biomedicine, propose several structured terminologies. In this paper, we propose a high-quality method for exploiting a structured terminology and inferring elementary synonym lexicon. The method is based on the analysis of syntactic structure of complex terms. The inferred synonym pairs are then profiled according to different clues endogenously computed within the same terminology. We apply and evaluate the approach on the Gene Ontology biomedical terminology.
Grabar
Natalia
N
Centre de Recherche des Cordeliers, Universit'e Pierre et Marie Curie - Paris6, UMR S 872, Paris, France.
Jaulent
Marie-Christine
MC
Hamon
Thierry
T
D019295:Computational Biology / Q000379:methods; D019992:Databases as Topic; D020869:Gene Expression Profiling / Q000379:methods; D023281:Genomics; D019451:Information Management; D016247:Information Storage and Retrieval / Q000379:methods*; D046228:Microarray Analysis / Q000379:methods; D008967:Molecular Biology / Q000379:methods; D012660:Semantics; D018875:Vocabulary, Controlled