Term Bases and Linguistic Linked Open Data

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Term Bases and Linguistic Linked Open Data

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Titel: Term Bases and Linguistic Linked Open Data
Proceedings of TKE 2016 the 12th International conference on Terminology and Knowledge Engineering
Forfatter: Erdman Thomsen, Hanne; Pareja-Lora, Antonio; Nistrup Madsen, Bodil; Copenhagen Business School. CBS; Department of International Business Communication and Politics; IBC; Department of International Business Communication and Politics; IBC
Resume: This volume of proceedings contains 17 papers to be presented at the 12th International Conference on Terminology and Knowledge Engineering, TKE 2016. 22 full papers were submitted in total, and they were all peer-reviewed by at least two reviewers with knowledge within the specific subfield as indicated by the authors. As it can be easily inferred, not all papers submitted could be presented at the conference (the acceptance ratio in this edition of TKE is 77%), but it is our hope that the authors of the papers eventually rejected will find the comments received from the reviewers useful for pursuing their work. The theme of this year’s TKE is ‘Term Bases and Linguistic Linked Open Data’. Mono- and multi-lingual term bases, which contain information about concepts (terms, definitions, examples of use, references, comments on equivalence etc.), have always made up valuable linguistic resources. Today, some terminology and knowledge bases combine traditional term bases and terminological ontologies, where concepts are related by means of various types of concept relations, and are further described by means of characteristics.
URI: http://hdl.handle.net/10398/9323
Dato: 2016-06-27

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