A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques
[chapter]
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
doi:10.1007/11527770_38
fatcat:iftd6ifosfd2vodmjw75lxh6q4