-------- Original-Nachricht -------- Betreff: Call for Papers - IPM Special Issue on Managing and Mining Multilingual Documents Datum: Tue, 17 Mar 2009 16:56:29 +0800 Von: ICEBE 2009 lancw@csie.ncu.edu.tw An: lancwleepl@gmail.com
*Information Processing & Management*
/Special Issue on**/
*Managing and Mining Multilingual Documents*
* *
*CALL FOR PAPER//*
*/ /*
Due to the popularity of the World Wide Web and the advance of Internet search engines, information in many different languages is accessible online nowadays. For example, one can easily access news stories in real time in over 30 languages on the Web. The number of non-English documents on the Web is growing faster than it was ten years ago due to the significant growth of Internet user population in developing countries. Although it is convenient to obtain multilingual information, these online documents are usually organized or managed in each language separately. Internet search engines provide hierarchical directories of documents for each language at independent portals even if these portals are provided by the same organization. We seldom find any hierarchical directory that provides multilingual classification. The lack of coordination among documents in different languages makes it inefficient for multilingual users to identify resources in multiple languages. Users are required to search by each language and concatenate the results. Such searching process is redundant and time consuming.
Furthermore, in global business environments, mining knowledge from text in a single language may not provide sufficient support to knowledge workers. We often need to integrate multilingual text before applying text mining techniques or integrate the knowledge discovered from text in different languages for obtaining global knowledge. For example, opinion mining from the Web requires multilingual text mining because user opinions are available in different languages from all over the world. Hence, there is an urge need for advanced techniques in managing and mining multilingual documents.
Many research efforts have been put on cross-lingual information retrieval in the last decade. Such research attention mainly focuses on how to cross the language boundary. However, relatively less effort has been made on coordinating multilingual resources in a unified manner. It is an important area to be explored such that we can fully utilize the multilingual resources for better knowledge management. In this special issue, we solicit high-quality, innovative papers addressing the broad research area of managing and mining multilingual documents. All submissions should be original work not published elsewhere. Special topics of interest include, but are not limited to, the following:
- Poly-lingual text classification
- Cross-lingual text classification
- Multilingual document clustering
- Cross-lingual category integration
- Multilingual ontology learning or integration
- Cross-lingual thesaurus
- Parallel/comparable corpus mining
- Machine translation
- Cross-lingual question answering
- Multilingual event detection
- Multilingual Web mining
- Opinion mining from multilingual documents
- Multilingual Web social network mining
Inquiries can be made to the guest editor(s) at chris.yang@ischool.drexel.edu mailto:chris.yang@ischool.drexel.edu. Manuscript should be submitted to the /Information Processing & Management /online submission system at http://ees.elsevier.com/ipm/. The deadline for submission is *April 3, 2009*. All manuscripts will be reviewed by a selected panel of referees, and those accepted will be published in a special issue of /IPM/. Original artwork and a signed copy of the copyright release form will be required for all accepted papers.
Additional inquiries should be sent to the guest editors:
Dr. Christopher C. Yang
College of Information Science and Technology
Drexel University
Philadelphia, PA, USA
Email: chris.yang@ischool.drexel.edu
Dr. Chih-Ping Wei
Institute of Service Science
National Tsing Hua University
Hsinchu, Taiwan, ROC
Email: cpwei@mx.nthu.edu.tw
Dr. Lee-Feng Chien
Google Taiwan R&D Center
Taipei, Taiwan, ROC
Email: lfchien@google.com