research-article

Collaborative Knowledge Framework for Mediation Information System Engineering

Authors:

Frederick Benaben,

Nicolas Boissel-Dallier, and

Herve PingaudAuthors Info & Claims

Scientific Programming, Volume 2017

https://doi.org/10.1155/2017/9026387

Published: 01 January 2017 Publication History

Abstract

With the worldwide interenterprise collaboration and interoperability background, automatic collaborative business process deduction is crucial and imperative researching subject. A methodology of deducing collaborative process is designed by collecting collaborative knowledge. Due to the complexity of deduction methodology, a collaborative knowledge framework is defined to organize abstract and concrete collaborative information. The collaborative knowledge framework contains three dimensions: elements, levels, and life cycle. To better define the framework, the relations in each dimension are explained in detail. They are (i) relations among elements, which organize the gathering orders and methods of different collaborative elements, (ii) relations among life cycle, which present modeling processes and agility management, and (iii) relations among levels, which define relationships among different levels of collaborative processes: strategy, operation, and support. This paper aims to explain the collaborative knowledge framework and the relations inside.

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Cited By

Zhang LPingaud HLamine EFontanili FBortolaso CDerras M(2022)A Model Driven Approach to Transform Business Vision-Oriented Decision-Making Requirement into Solution-Oriented Optimization ModelAdvances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence10.1007/978-3-031-08530-7_18(211-225)Online publication date: 19-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-08530-7_18
Zhang LFontanili FLamine EBortolaso CDerras MPingaud H(2020)A Systematic Model to Model Transformation for Knowledge-Based Planning Generation ProblemsTrends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices10.1007/978-3-030-55789-8_13(140-152)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-55789-8_13

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Collaborative Knowledge Framework for Mediation Information System Engineering

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Published In

cover image Scientific Programming

Scientific Programming Volume 2017, Issue

2017

637 pages

ISSN:1058-9244

EISSN:1875-919X

Issue’s Table of Contents

Copyright © 2017 Wenxin Mu et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Hindawi Limited

London, United Kingdom

Publication History

Published: 01 January 2017

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Cited By

Zhang LPingaud HLamine EFontanili FBortolaso CDerras M(2022)A Model Driven Approach to Transform Business Vision-Oriented Decision-Making Requirement into Solution-Oriented Optimization ModelAdvances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence10.1007/978-3-031-08530-7_18(211-225)Online publication date: 19-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-08530-7_18
Zhang LFontanili FLamine EBortolaso CDerras MPingaud H(2020)A Systematic Model to Model Transformation for Knowledge-Based Planning Generation ProblemsTrends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices10.1007/978-3-030-55789-8_13(140-152)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-55789-8_13

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