Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques [chapter]

Alexandros G. Valarakos, Vangelis Karkaletsis, Dimitra Alexopoulou, Elsa Papadimitriou, Constantine D. Spyropoulos
2005 Lecture Notes in Computer Science  
Ontologies are becoming increasingly important in the biomedical domain since they enable the re-use and sharing of knowledge in a formal, homogeneous and unambiguous way. In the rapidly growing field of biomedicine, knowledge is usually evolving and therefore an ontology maintenance process is required to keep the ontological knowledge up-to-date. This paper presents our approach for populating a formally defined ontology for the allergen domain exploiting PubMed abstracts on allergens and
more » ... g natural language processing and machine learning techniques. This approach is composed of two stages: locating initially instances of ontology concepts in the PubMed corpus, and finding at a 2nd stage instances' properties and relations between instances.
doi:10.1007/11527770_38 fatcat:iftd6ifosfd2vodmjw75lxh6q4