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Authors: Alfredo Cuzzocrea 1 ; Francesco Folino 2 and Luigi Pontieri 2

Affiliations: 1 ICAR-CNR and University of Calabria, Italy ; 2 ICAR-CNR, Italy

ISBN: 978-989-8425-05-8

Keyword(s): Knowledge Representation and Management, Complex Information Systems, Process Mining.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Web Information Systems and Technologies

Abstract: A knowledge-based framework for supporting and analyzing loosely-structured collaborative processes (LSCPs) is presented in this paper. The framework takes advantages from a number of knowledge representation, management and processing capabilities, including recent process mining techniques. In order to support the enactment, analysis and optimization of LSCPs in an Internet-worked virtual scenario, we illustrate a flexible integration architecture, coupled with a knowledge representation and discovery environment, and enhanced by ontology-based knowledge processing capabilities. In particular, an approach for restructuring logs of LSCPs is proposed, which allows to effectively analyze LSCPs at varying abstraction levels with process mining techniques (originally devised to analyze well-specified and well-structured workflow processes). The capabilities of the proposed framework were experimentally tested on several application contexts. Interesting results that concern the experimen tal analysis of collaborative manufacturing processes across a distributed CAD platform are shown. (More)

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Paper citation in several formats:
Cuzzocrea A.; Folino F.; Pontieri L. and (2010). EFFECTIVE ANALYSIS OF FLEXIBLE COLLABORATION PROCESSES BY WAY OF ABSTRACTION AND MINING TECHNIQUES.In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-05-8, pages 157-167. DOI: 10.5220/0003020501570167

@conference{iceis10,
author={Alfredo Cuzzocrea and Francesco Folino and Luigi Pontieri},
title={EFFECTIVE ANALYSIS OF FLEXIBLE COLLABORATION PROCESSES BY WAY OF ABSTRACTION AND MINING TECHNIQUES},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2010},
pages={157-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003020501570167},
isbn={978-989-8425-05-8},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - EFFECTIVE ANALYSIS OF FLEXIBLE COLLABORATION PROCESSES BY WAY OF ABSTRACTION AND MINING TECHNIQUES
SN - 978-989-8425-05-8
AU - Cuzzocrea, A.
AU - Folino, F.
AU - Pontieri, L.
PY - 2010
SP - 157
EP - 167
DO - 10.5220/0003020501570167

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