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Ontologies vs. classification systems

Proceedings of the NODALIDA 2009 workshop WordNets and other Lexical Semantic Resources — between Lexical Semantics, Lexicography, Terminology and Formal Ontologies. Editors: Bolette Sandford Pedersen, Anna Braasch, Sanni Nimb and Ruth Vatvedt Fjeld. NEALT Proceedings Series, Vol. 7 (2009), 27-32. © 2009 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/9209

CAOS — A tool for the Construction of Terminological Ontologies

Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kristiina Jokinen and Eckhard Bick. NEALT Proceedings Series, Vol. 4 (2009), 279-282. © 2009 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/9206

Automatic Knowledge Extraction and Knowledge Structuring for a National Term Bank

Proceedings of the Workshop CHAT 2011: Creation, Harmonization and Application of Terminology Resources. Editors: Tatiana Gornostay and Andrejs Vasiļjevs. NEALT Proceedings Series, Vol. 12 (2011), 23-26. © 2011 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/16956

Når danske myndigheder taler forskelligt dansk: Begrebsafklaring med terminologiske ontologier

Terminological Ontology combines traditional terminology work with typed feature structures, thus providing a systematic and controlled method for concept clarification and definition writing. Terminological ontologies include a formalization of the inheritance of characteristics and a number of constraints which help experts formulate consistent intensional definitions. In this paper we illustrate the usefulness of Terminological Ontology with several examples from a scenario where various Danish authorities need to exchange digitized information. The authorities involved include units under the Ministry of Justice (the Prison and Probation Service, the Police, the Prosecution Service in Denmark, and the Danish Court Administration), the National Board of Social Services, and the Danish Agency for Digitisation. The examples evolve around the central concept of ‘case’, and show how concept clarification and harmonization is necessary in order to enable a seamless exchange of digitized information between these authorities, and in essence, between organizations in general. On this basis, it is concluded that there is a need for a shared, cross-ministerial concept and knowledge database with appointed terminologists to collaborate with and coordinate contributions from the interested parties in ministries, public agencies and other authorities

From Concept Models to Conceptual Data Models

In order to develop a harmonised and efficient IT system, such as a database, it is important to be familiar with the underlying concept model (concept systems) for the relevant domain which the IT system should be designed to accommodate, as this forms the necessary firm foundation for designing the conceptual data model. Although there is no one-to-one correlation between concept and characteristic features in the concept model and classes and attributes in the conceptual data model, there are many similarities between concept modelling and conceptual data modelling, and by closely examining the relationship between the two models, we have strived to construct an algorithm for creating conceptual data models in Unified Modelling Language (UML) on the basis of concept models that adhere to the traditional principles and methods of terminology work