Bisociative discovery in business process models

Authors:
Trevor Martin;Hongmei He
Affiliations:
Artificial Intelligence Group, University of Bristol, UK, BT Innovate and Design, Ipswich, UK;Artificial Intelligence Group, University of Bristol, UK, School of Computing and Intelligent Systems, University of Ulster, UK
Venue:
Bisociative Knowledge Discovery
Year:
2012

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Bisociative Knowledge Discovery

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Bisociative Knowledge Discovery

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Abstract

Bisociative knowledge discovery - finding useful, previously unknown links between concepts - is a vital tool in unlocking the economic and social value of the vast range of networked data and services that is now available. An important application for bisociative knowledge discovery is business process analysis, where bisociation could lead to improvements in one domain being disseminated to other domains. We identify two forms of bisociation, based on structural similarity, that are applicable to business processes, and present examples using real-world data to show how bisociative reasoning can be applied.