UCITMI 2013 - Special Session on Using Collective Intelligences and Text Mining on Innovation (UCITMI)

Special Session on Using Collective Intelligences and Text Mining on Innovation (UCITMI)
at
5th International Conference on Computational Collective Intelligence
- Technologies and Applications (ICCCI 2013)
Craiova, Romania
11-13 September, 2013
Introduction
Due to the rapid development of communication technology, consumer-involved designing and the realization of customers’ importance have taken part in Co-creation Model in the operations of enterprises (Wayne et. al, 2010). This trend means that customers often form various non-official tribes where they exchange values and experiences. Business organizations also use conferences and exhibitions to pass organizational message to customers. As a consequence, a wide variety of information is left on the internet and has become relevant information for the decision makers. Hence, to convert the information of such big volume to support intelligence activities of the decision makers has become a major topic.
Computational Collective Intelligence, in general, deals with soft methods for processing intelligences of members of a collective to make an intelligence of whole collective, or to realize tasks addressed to the collective members (Nguyen et al., 2011). In addition, Web 2.0 has enabled users to post freely their own contents which have brought the social sharing of current knowledge on the internet to a new level. Moreover, Text mining is a textual data mining approach which seeks to extract useful information from data sources through the identification and exploration of interesting patterns (Feldman and Sanger, 2007). Text Mining, accompanied by Information Retrieval, Social Networks, and Small World, could be used to analyze big volume documents to find words and phrases with high frequency and high co-occurrence, as well as the not-so-frequent words yet with significant structures, and eventually convert them into visual graphics. Thus, decision makers can build innovative and sensible stories using the ideas revealed in the graphics, especially the ones made from “the words of low support and high confidence”, so as to find out the possible solutions for decision making.
Therefore, assisting managers in getting a well-rounded understanding of organizational situations, establishing common values among customers as well as between customers and organizations, and providing aids for managers to develop commonly favored innovative alternatives through customers have become our challenges.
Topics of interests
The topics of this Special Session cover (but are not limited to):
　1.Innovative Products Combination using Text Mining
　2.Innovative Business Opportunity using Computational Collective Intelligence
　3.Emerging Technology Opportunity using Text Mining
　4.Computational Collective Intelligence in Broking Model and Group Trading
　5.Computer-Mediated Communications using Computational Collective Intelligence
　6.Computational Collective Intelligence in Curriculum and Instruction
Information for authors
The papers will be reviewed by WebSys International Program Committee. The best submissions accepted for this session will be published in the ICCCI conference proceedings. The papers should present original and unpublished research.
The conference proceedings will be published in the prestigious series Lecture Notes in Artificial Intelligence, distributed by Springer-Verlag (the publication announcement has already been included in the list of LNCS Forthcoming Proceedings) and indexed by ISI (CP), EI, Scopus, DBLP, ACM Digital Library etc. Submitted papers for WebSys should be prepared in LNCS/LNAI format with titles, author names, affiliation, e-mail addresses, an up to 150-words abstract, and a single-column and single-spaced body. The manuscript should be written in English and should not exceed 10 pages. All papers must provide at most five key words including one or more of the session topics. Please follow the instructions given at the ICCCI site to format and submit your paper.
All paper submissions should be done electronically. Authors are invited to electronically submit their paper using the submission system.
Program Committee
Fang-Cheng Hsu, Aletheia University, Taiwan
Pen-Choug Sun, Aletheia University, Taiwan
Chia-Ling Hsu, Tamkang University, Taiwan
Ai-Ling Wang, Tamkang University, Taiwan
Hung-Ming Wu, Aletheia University, Taiwan
Feng-Sueng Yang, Aletheia University, Taiwan
Min-Huei Lin, Aletheia University, Taiwan
Ai-Yun Su, Tamkang University, Taiwan
Important dates
Deadline for paper submission: 15 March, 2013
Notification of acceptance: 10 May, 2013
Camera ready papers submission: 31 May, 2013
Conference date: 11-13 September, 2013
Organizers
Prof. Chao-Fu Hong
Department of Information Systems
Aletheia University
No. 32, Zhenli St., Danshui Dist., New Taipei City 25103, Taiwan
Tel: +886 2 2621 2121 # 6303
Fax: +886 2 2626 0520
E-mail: au4076-AT-au.edu.tw
Prof. Tzu-Fu Chiu
Department of Industrial Management and Enterprise Information
Aletheia University
No. 32, Zhenli St., Danshui Dist., New Taipei City 25103, Taiwan
Tel: +886 2 2621 2121 # 6108
Fax: +886 2 2626 0520
E-mail: chiu-AT-mail.au.edu.tw