Beyond ontology in information systems

Flender, Christian, Kitto, Kirsty, & Bruza, Peter D. (2009) Beyond ontology in information systems. In Bruza, Peter D., Sofge, Don, Lawless, William, Rijsbergen, Keith van, & Klusch, Matthias (Eds.) Third Quantum Interaction Symposium, 25-27 March 2009, Saarbruecken, Germany.

[img] Published Version (PDF 362kB)
Administrators only | Request a copy from author

View at publisher


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 ontological 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.

Impact and interest:

8 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 20406
Item Type: Conference Paper
Refereed: Yes
Keywords: Information Systems, Conceptual Modelling, Ontology, Context, Emergence, Mereology
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Engineering and Theory (080607)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200) > Knowledge Representation and Machine Learning (170203)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2009 Springer
Deposited On: 11 May 2009 23:04
Last Modified: 06 Jul 2017 20:01

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page