A notation for Knowledge-Intensive Processes

Joanne Manhães Netto · Juliana Baptista dos Santos França · Fernanda Baião · Flávia Maria Santoro

32 citations0/0 files storedIEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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Business Process Modeling and Analysis Semantic Web and Ontologies Model-Driven Software Engineering Techniques

Abstract

Business process modeling has become essential for managing organizational knowledge artifacts. However, this is not an easy task, especially when it comes to the so-called Knowledge-Intensive Processes (KIPs). A KIP comprises activities based on acquisition, sharing, storage, and (re)use of knowledge, as well as collaboration among participants, so that the amount of value added to the organization depends on process agents' knowledge. The previously developed Knowledge Intensive Process Ontology (KIPO) structures all the concepts (and relationships among them) to make a KIP explicit. Nevertheless, KIPO does not include a graphical notation, which is crucial for KIP stakeholders to reach a common understanding about it. This paper proposes the Knowledge Intensive Process Notation (KIPN), a notation for building knowledge-intensive processes graphical models.

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References

2004Case handling: a new paradigm for business process support 2011Declarative Event-Based Workflow as Distributed Dynamic Condition Response Graphs 1999Improving knowledge intensive processes through an enterprise knowledge medium 2005A Framework for Document-Driven Workflow Systems 2006Beyond predictable workflows: Enhancing productivity in artful business processes 2005KMDL - Capturing, Analysing and Improving Knowledge-Intensive Business Processes 2009Case Management: A Review of Modeling Approaches 2012Knowledge-intensive Processes: An Overview of Contemporary Approaches.

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2019A Multi-criteria Evaluation Approach for Selecting a Sensitive Business Process Modeling Language for Knowledge Management 2016Choosing a Sensitive Business Process Modeling Formalism for Knowledge Identification 2017BPMN4KM: Design and Implementation of a BPMN Extension for Modeling the Knowledge Perspective of Sensitive Business Processes 2017Using core ontologies for extending sensitive business process modeling with the knowledge perspective

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