Beyond ontology in information systems

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Abstract

Information systems are socio-technical systems. Their design, analysis and implementation requires appropriate languages for representing social and technical concepts. However, many symbolic modelling approaches fall into the trap of underemphasizing social aspects of information systems. This often leads to an inability of onto- logical models to incorporate effects such as contextual dependence and emergence. Moreover, as designers take the perspective of people living with and alongside the information system to be modelled social interaction becomes a primary concern. Ontologies are too prescriptive and do not account properly for social concepts. Based on State-Context- Property (SCoP) systems we propose a quantum-inspired approach for modelling information systems. © Springer-Verlag Berlin Heidelberg 2009.

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Flender, C., Kitto, K., & Bruza, P. (2009). Beyond ontology in information systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5494, pp. 276–288). https://doi.org/10.1007/978-3-642-00834-4_23

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