ABSTRACT
Virtual Organization.................................................................... 469 20.3.4 Text Mining and Ontologies ....................................................... 471
20.4 Future Work ............................................................................................... 473 20.4.1 Ontologies and Text Mining ....................................................... 473 20.4.2 Ontology Standards..................................................................... 474 20.4.3 Ontologies and Reasoning Systems............................................ 474 20.4.4 Semantic Web.............................................................................. 475
20.5 Summary.................................................................................................... 477 References.............................................................................................................. 478
This chapter gives an overview of the application of ontologies within the bioinformatics domain, specifically for drug-target identification and validation. We provide a background of the ontology field and its technical underpinnings as well as the current state of the art within the field. We then link the way that biological research, assisted by bioinformatics tools, can be carried out. This underscores the need for
ontologies. Having done this, we provide some case studies pertinent to bioinformatics in general, and target identification in particular.