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Lack of concept clarification based on concept modelling results in inappropriate term use and inefficient information and communication technology. In this contribution, we refer to the fire aboard the ship Scandinavian Star in 1990 and the terror attack at Utøya in 2011 as examples. We establish a terminological ontology for 46 Danish concepts included in an alphabetically organized term list on incident management by the Danish Emergency Management Agency (DEMA). Based on this ontology, the main aim is to demonstrate how terminological principles may form the basis for creating structured data, which may support a common understanding of domain‐specific key concepts which again is a prerequisite for successful and well‐functioning disaster management systems. The terminological method will be explained, focusing on terminological ontologies and terminological definitions reflecting the semantic structure of the domain. Further, we illustrate the use of technology for knowledge modelling and sharing, and we briefly describe how the results of terminology work may be stored in a term bank in order to support common understanding and efficient communication. Moreover, terminological ontologies may lay the foundation for data models for disaster management systems, technologies involving Artificial Intelligence, and building blocks of semantic technologies. [ABSTRACT FROM AUTHOR]

Byline: Bodil Nistrup Madsen, Hanne Erdman Thomsen Ontologies are useful for many purposes. The use of an ontology is, for example, crucial for writing consistent definitions of concepts within a specific domain. In this paper, we will argue that the principles of rigorous terminology work are useful for building consistent ontologies. In many cases, developers of IT systems encounter severe problems, because they neglect the necessity of developing a proper ontology (concept model) before they develop a conceptual data model as a basis for an IT system. In this paper, we will argue that the development of an ontology is crucial for setting up a conceptual data model, and therefore it should always be added as an initial stage to data modelling. Also we will give some examples of the mapping between ontologies and conceptual data models. Future research will reveal to what extent it will be possible to set up rules for automatic mapping of concepts of an ontology into classes and attributes of a conceptual data model.

This paper presents some principles of terminological ontologies implemented in the prototype that has been developed in the research project CAOS - Computer-Aided Ontology Structuring. Furthermore, some issues that have to be faced to further develop facilities for automatic consistency checking and automatic changes to ontologies, are discussed. The presentation will illustrate central facilities of the current version of the CAOS prototype, which is interactive and presupposes an end-user with a background in terminology rather than in formal ontology. [ABSTRACT FROM AUTHOR]

Businesses and organizations, including public authorities, have a growing need for organizing and handling large amounts of data. In order to manage complex knowledge, knowledge must be modeled and structured. One very powerful method used for structuring knowledge is the use of ontologies. Businesses and organizations need efficient tools for building domain-specific ontologies and systems for managing knowledge. Most medium-sized and large Danish businesses and organizations operate in a bilingual or multilingual environment, where knowledge is transferred and stored in Danish and/or English, and possibly other languages, so information must be freely retrievable and communicable in several languages. In this paper I will give examples of why knowledge modeling is important for businesses, and why knowledge modeling is a central part of the DanTermBank project, the aim of which is to lay the foundation for a national terminology and knowledge bank. Furthermore, I will briefly introduce our plans for teaching within the field of knowledge modeling at Copenhagen Business School, CBS. [ABSTRACT FROM AUTHOR]

The article focuses on the services offered by the DANTERcentre located at the Copenhagen Business School (CBS) in Denmark. It states that the center is the one of the leading consultancy and development institutions in the country in the field of language technology, terminology, and concept organization. It outlines the objectives and mission of the center, as well as its Computer-Aided Ontology Structuring (CAOS) project.