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Auflistung nach Autor:in "Gulla, Jon Atle"

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  • Konferenzbeitrag
    Model-driven business management – the linguistic perspective
    (Applications of Natural Language to Information Systems, 6th international workshop NLDB'01, 2001) Gulla, Jon Atle
  • Konferenzbeitrag
    Semantic interoperability in the norwegian petroleum industry
    (Information Systems Technology and its Applications, 5th International Conference ISTA 2006, 2006) Gulla, Jon Atle; Tomassen, Stein L.; Strasunskas, Darijus
    The petroleum industry is a technically challenging business with high investments, complex projects and operational structures. There are numerous companies and public offices involved in the exploitation of a new oil field, and there is a high degree of specialization among them. Even though standardization has been considered important in this industry for many years, there is still very little integration across phases and disciplines. An industrially driven consortium launched the Integrated Information Platform project in 2004, in which semantic standards based on OWL and Semantic Web technologies were to be developed for the subsea petroleum industry. This paper presents the IIP project in more detail and discusses how industry-wide ontologies can support semantic interoperability and encourage more process integration.
  • Konferenzbeitrag
    Using business process models to retrieve information from governing documents
    (Business Information Systems – 9th International Conference on Business Information Systems (BIS 2006), 2006) Lægreid, Tarjei; Sandal, Paul Christian; Ingvaldsen, Jon Espen; Gulla, Jon Atle
    Governing documents are long textual documents containing information about how different operations are to be carried out in a business. The information spans from overall policies and standards to detailed guidelines, and the amount of such documents in larger corporations tend to be substantial. In business process models the aim is to model the same domain from a process perspective. In this project work we investigate the potential of utilizing text mining technologies together with a standard information retrieval system to link these two sources of information in a dynamic way. To test out the concepts we employ business process models and governing documents from Statoil ASA, a Norwegian oil and gas company.