Similarity of KIP's patterns: Clustering the Unstructured

Fabrice Boissier ()
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Fabrice Boissier: CRI - Centre de Recherche en Informatique de Paris 1 - UP1 - Université Paris 1 Panthéon-Sorbonne

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Abstract: Knowledge intensive process (KIP) are processes recently highlighted by the huge amount of information processed by our contemporary society. Current challenges concern the flexibility of the systems that support KIP (how to handle unexpected activities), and how to make this flexibility comply with quick rule and regulation changes during execution. Following Cognini's (2016) conclusions, the reuse of past cases (previous process executions) has not been well studied. Process fragments could be reused depending on the situation. Inspired by business process similarity techniques, we propose to produce these fragments with Formal Concept Analysis (for structure) and hypernyms (for semantic).

Keywords: Knowledge Intensive Process; Model Patterns; Similarity; Formal Concept Analysis; Unstructured; Clustering; Business Process; Hypernyms (search for similar items in EconPapers)
Date: 2019-05-27
Note: View the original document on HAL open archive server: https://hal.science/hal-04854831v1
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Published in CRI Poster Madness 2019, May 2019, Paris, France

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