Developing Linguistic Ontology for the Intellectual Property of Pharmaceutical Drugs

Student: Sentsova Uliana

Supervisor: Irina Efimenko

Educational Programme: Language Theory and Computational Linguistics (Master)

Final Grade: 10

Year of Graduation: 2017

Text mining of biomedical patents has attracted much attention in recent years. Semantic technologies and ontologies are among the most promising natural language processing methods in the task of patent landscape analysis. However, an ontology of pharmaceutical inventions hasn't been developed so far. The goal of the present research is to develop an ontology of intellectual property in pharmaceutics based on the linguistic analysis of numerous patent texts. The study reviews existing resources in biology, medicine, and pharmacology and highlights the legal aspects of pharmaceutical inventions. The resulting ontology enables modeling of drug products in terms of patent law and can be used for creating patent landscape reports in the projects on novel drug discovery.

Full text (added May 31, 2017)

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