Research on the Platform of Enterprise Co-evolution Based on the Collective Intelligence
Platform of enterprise co-evolution based on the collective intelligence is a multifunction platform on the web so that users and enterprises can public information, search for information, pose questions and answer questions, the most important function is it supports the integration of process, se...
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Published in | Applied Informatics and Communication pp. 73 - 81 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
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Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
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Abstract | Platform of enterprise co-evolution based on the collective intelligence is a multifunction platform on the web so that users and enterprises can public information, search for information, pose questions and answer questions, the most important function is it supports the integration of process, self-organization and self-adapting. The proposed approach is web2.0 tech-nology based and the use of ontology technology, with which the platform could accomplish the collection of users’ implicit information and explicit information, the grouping and recommendation program; the CDO ontology can complete the information classification, information mark function, and the knowledge or intelligence resources categorizing or matching. In this paper, we analyze the program complexity in three different situations on the platform, and use the CDO ontology to fulfill the process integration and related resources recommendation, finally get the co-evolution of enterprises. |
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AbstractList | Platform of enterprise co-evolution based on the collective intelligence is a multifunction platform on the web so that users and enterprises can public information, search for information, pose questions and answer questions, the most important function is it supports the integration of process, self-organization and self-adapting. The proposed approach is web2.0 tech-nology based and the use of ontology technology, with which the platform could accomplish the collection of users’ implicit information and explicit information, the grouping and recommendation program; the CDO ontology can complete the information classification, information mark function, and the knowledge or intelligence resources categorizing or matching. In this paper, we analyze the program complexity in three different situations on the platform, and use the CDO ontology to fulfill the process integration and related resources recommendation, finally get the co-evolution of enterprises. |
Author | Nie, Guihua Xu, Shangying Zhang, Xiwen |
Author_xml | – sequence: 1 givenname: Guihua surname: Nie fullname: Nie, Guihua email: GuihuaNie@tom.com organization: School of Economics, Wuhan University of Technology, Wuhan, China – sequence: 2 givenname: Shangying surname: Xu fullname: Xu, Shangying organization: School of Economics, Wuhan University of Technology, Wuhan, China – sequence: 3 givenname: Xiwen surname: Zhang fullname: Zhang, Xiwen organization: School of Economics, Wuhan University of Technology, Wuhan, China |
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Copyright | Springer-Verlag Berlin Heidelberg 2011 |
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DOI | 10.1007/978-3-642-23235-0_10 |
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Discipline | Computer Science |
EISBN | 9783642232350 3642232353 |
EISSN | 1865-0937 |
Editor | Zhang, Jianwei |
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EndPage | 81 |
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Notes | This paper is supported by National Natural Science Fund of China 70972094, National Natural Science Fund of China 71072077 and State 863 High Technology R&D key Project of China 2009AA043508. |
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PublicationSubtitle | International Conference, ICAIC 2011, Xi’ian, China, August 20-21, 2011. Proceedings, Part III |
PublicationTitle | Applied Informatics and Communication |
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Snippet | Platform of enterprise co-evolution based on the collective intelligence is a multifunction platform on the web so that users and enterprises can public... |
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SubjectTerms | collective intelligence enterprise co-evolution ontology web2.0 |
Title | Research on the Platform of Enterprise Co-evolution Based on the Collective Intelligence |
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