论文信息 - A preliminary report on answering complex queries related to drug discovery using answer set programming

A preliminary report on answering complex queries related to drug discovery using answer set programming

We introduce a new method for integrating relevant parts of knowledge extracted from biomedical ontologies and answering complex queries related to drug safety and discovery, using Semantic Web technologies and answer set programming. The applicability of this method is illustrated in detail on some parts of existing biomedical ontologies. Its effectiveness is demonstrated by computing an answer to a real-world biomedical query that requires the integration of NCBI Entrez Gene and the Gene Ontology.

Olivier Bodenreider | Esra Erdem | Zeynep Hande Çoban | Mahir Can Doğanay | Hilal Koşucu

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