Abstract
The advent of the Semantic Web and, more recently, of the Linked Data initiative, has paved the way for new perspectives and opportunities in Terminology, namely regarding the operationalization of terminological products. Within the biomedical domain, changes have been substancial in the past decades and at their heart stand the current challenges regarding the production, use, storage and dissemination of medical data, information, and knowledge. In a context where biomedical terminological resources are becoming increasingly concept-oriented, terminology work should reflect a double dimension (both linguistic and conceptual) that may, in turn, support the aspired operationalization and interoperability in this field. Therefore, the purpose of this paper is to present a case study, based around the concept of <Laparoendoscopic single-site surgery>, in which a methodology anchored in Terminology's double dimension aims to contribute to the enrichment of the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT).
Original language | English |
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Title of host publication | Term bases and linguistic linked open data |
Subtitle of host publication | Proceedings of TKE 2016 the 12th International conference on Terminology and Knowledge Engineering |
Editors | Hanne Erdman Thomsen, Antonio Pareja-Lora, Bodil Nstrup Madsen |
Place of Publication | Copenhaga |
Publisher | Copenhagen Business School |
Pages | 157-167 |
Number of pages | 10 |
ISBN (Print) | 978-87-999179-0-7 |
Publication status | Published - 2016 |
Event | 12th International Conference on Terminology and Knowledge Engineering - Term Bases and Linguistic Linked Open Data - Copenhague, Denmark Duration: 22 Jun 2016 → 24 Jun 2016 |
Other
Other | 12th International Conference on Terminology and Knowledge Engineering - Term Bases and Linguistic Linked Open Data |
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Country/Territory | Denmark |
City | Copenhague |
Period | 22/06/16 → 24/06/16 |
Keywords
- Terminology's double dimension
- Interoperability
- Laparoendoscopic single-site surgery
- SNOMED CT