101. Ontology mapping for semantically enabled applications
- Author
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Jabe Wilson, Martin Romacker, Simon Jupp, Andrea Splendiani, Ernesto Jiménez-Ruiz, Jane Lomax, Christian Senger, Jane Z. Reed, Ian Harrow, Rama Balakrishnan, and Peter Woollard
- Subjects
0301 basic medicine ,QA75 ,Service (systems architecture) ,RM ,Computer science ,media_common.quotation_subject ,Ontology (information science) ,Semantics ,Machine Learning ,03 medical and health sciences ,0302 clinical medicine ,Drug Discovery ,Humans ,Semantic integration ,Quality (business) ,media_common ,Z665 ,Pharmacology ,Biological Ontologies ,Data science ,Variety (cybernetics) ,030104 developmental biology ,030220 oncology & carcinogenesis ,Sustainable Services ,Algorithms - Abstract
In this review, we provide a summary of recent progress in ontology mapping (OM) at a crucial time when biomedical research is under a deluge of an increasing amount and variety of data. This is particularly important for realising the full potential of semantically enabled or enriched applications and for meaningful insights, such as drug discovery, using machine-learning technologies. We discuss challenges and solutions for better ontology mappings, as well as how to select ontologies before their application. In addition, we describe tools and algorithms for ontology mapping, including evaluation of tool capability and quality of mappings. Finally, we outline the requirements for an ontology mapping service (OMS) and the progress being made towards implementation of such sustainable services.
- Published
- 2018