Ontology mapping for semantically enabled applications
| Autor: | Jabe Wilson, Martin Romacker, Simon Jupp, Andrea Splendiani, Ernesto Jiménez-Ruiz, Jane Lomax, Christian Senger, Jane Z. Reed, Ian Harrow, Rama Balakrishnan, Peter Woollard |
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| Rok vydání: | 2018 |
| Předmět: |
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 |
| Zdroj: | Drug discovery today. 24(10) |
| ISSN: | 1878-5832 1359-6446 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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