Terje Brasethvik

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This paper conducts an empirical analysis of a semiotics-based quality framework for quality assuring information models. 192 participants were trained in the concepts of the quality framework, and used it to evaluate models represented in an extended Entity Relationship (ER) language. A randomised, double-blind design was used, in which each participant(More)
Modeling existing and future business processes is crucial to the outcome of large-scale reengineering projects. The use of parameterized or standard components does not render business models redundant, but shifts the modeling focus even more from technical aspects to the real-world business processes. In current reengineering projects, however, there is(More)
The overall goal addressed in this paper is to improve semantic interoperability in heterogeneous systems by means of establishing mappings between relevant domain ontologies. The mappings are discovered based on the technique of semantic enrichment through extension analysis, i.e. using instance information of the ontology to enrich the original ontology(More)
This paper conducts an empirical analysis of the quality framework proposed by Lindland et al (1994) for evaluating the quality of conceptual models. 194 participants were trained in the concepts of the quality framework, and then used it to evaluate models in an extended ER language. A randomised, double-blind design was used, and the results evaluated by(More)
This paper conducts an empirical analysis of a conceptual model quality framework for evaluating the quality of process models. 194 participants were trained in the concepts of the quality framework, and then used it to evaluate models represented in a workflow modelling language. A randomised, double-blind design was used, and the results evaluated using a(More)
Organisations and individuals today are exposed to vast numbers of documents in their daily work. Modern retrieval techniques, knowledge management systems, the Semantic Web initiative and several related efforts all strive to improve information sharing and to arrive at languages, methods and tools for semantic document retrieval. Approaches from(More)