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Authors: Roberto Paiano and Adriana Caione

Affiliation: University of Salento, Italy

ISBN: 978-989-758-194-6

Keyword(s): Knowledge Base, Business Process Management, Compliance, Natural Language Text.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems

Abstract: The business process analysis requires an in-depth knowledge of factors such as the activities carried out; the actors involved; the domain or business context in which the activities are performed; the internal company structure; the current regulatory framework. This involves the employment and the collaboration of different professionals, such as business experts, domain experts and legal experts, along with a considerable effort in terms of time and resources. For the purpose of an efficient and effective management of business processes, it is also important to ensure the compliance with the company context and the flexibility with regard to changes that may occur within the company or at the legislative level. This paper shows a methodological and architectural approach guided by a knowledge base that describes the application domain. It is populated iteratively with the information extracted from the analysis of documents, regulations and requirements. The knowledge base is the n used by the process designer as a guide for business process modelling and management. (More)

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Paper citation in several formats:
Paiano, R. and Caione, A. (2016). A Knowledge Base Guided Approach for Process Modeling in Complex Business Domain.In Proceedings of the 11th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2016) ISBN 978-989-758-194-6, pages 169-176. DOI: 10.5220/0005974801690176

@conference{icsoft-ea16,
author={Roberto Paiano. and Adriana Caione.},
title={A Knowledge Base Guided Approach for Process Modeling in Complex Business Domain},
booktitle={Proceedings of the 11th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2016)},
year={2016},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005974801690176},
isbn={978-989-758-194-6},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2016)
TI - A Knowledge Base Guided Approach for Process Modeling in Complex Business Domain
SN - 978-989-758-194-6
AU - Paiano, R.
AU - Caione, A.
PY - 2016
SP - 169
EP - 176
DO - 10.5220/0005974801690176

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