Browsing Department of International Language Studies and Computational Linguistics (ISV) by Subject "Ontology"
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Nistrup Madsen, Bodil; Erdman Thomsen, Hanne; Halskov, Jakob; Lassen, Tine (Frederiksberg, 2010)[More information][Less information]
Abstract: In our paper we present a project, the aim of which is to develop innovative and advanced methods for dynamic and automatic extraction of knowledge about concepts from texts and for automatic construction of ontologies. The project builds on and further develops the results of the CAOS project - Computer-Aided Ontology Structuring - which was carried out at Copenhagen Business School in the period 1998-2007. Terminological ontologies differ from other types of ontologies by comprising feature specifications and subdivision criteria. We have formalised subdivision criteria that have been used for many years in terminology work, by introducing dimensions and dimension specifications. In the CAOS prototype, facilities for semiautomatic checking of inconsistencies were developed. URI: http://hdl.handle.net/10398/8283 Files in this item: 1
TKE-2010-HET_BNM_JH_TL.pdf (370.7Kb) -
Nistrup Madsen, Bodil; Odgaard, Anna Elisabeth (Frederiksberg, 2010)[More information][Less information]
Abstract: 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. URI: http://hdl.handle.net/10398/8284 Files in this item: 1
bnm-aeo-TKE-2010-NEW.pdf (166.2Kb)
Now showing items 1-2 of 2