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                                                     Seminar

             Department of Systems Engineering and Engineering Management
                                  The Chinese University of Hong Kong

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Title	:	Reconstructing Traditional Knowledge Organization Systems for Web Application
Speaker	:	Prof. Jun Wang
		Department of Information Management
		Peking University
Date	:	March 18th, 2008 (Tuesday)
Time	:	4:30 p.m. - 5:30 p.m.
Venue	:	Room 513
		William M.W. Mong Engineering Building
		(Engineering Building Complex Phase 2)
		CUHK

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Abstract:
　

Knowledge organization (KO) is a tradition rooted in libraries where information is organized according to some knowledge schemes, such as taxonomies, thesauri, gazetteers, etc. It had been the dominant way for information discovery and utilization before the Web age. However, tremendous human efforts are demanded in the building, maintenance and employment of KO tools. Unable to scale to massive information situation, it loses the popularity in Web environment, thus making search engines become the dominant tool for information discovery and utilization, even the only one to most of Web roamers.
To provide richer and powerful Web application tools, and to enhance the power of search engines, the tradition of knowledge organization should be revivified in Web environment. This is why ontology and folksonomy draw more and more attention in research communities and industry world.
This talk introduces some pioneer works conducted by the KVision research group at the Dept. of Information Management of Peking University on reconstructing traditional KO tools for Web applications, including:
1) Automatic enriching thesauri with new terms extracted from metadata;
2) Automatic reconstructing large-scale classification schemes (e.g. Dewey Decimal Classification) for automatic classification;
3) integrating traditional KO resources to automatically construct an ontology, and implementing semantic retrieval and knowledge navigation with an ontology-driven approach;
4) employing the reconstructed KO tools to augment the power of search engines with vocabulary aiding and search result clustering.
At last, a Chinese social bookmarking tool Doulor, which is developed recently in the KVision lab, will be demonstrated. It implements the findings from previous research projects and combines the power of folksonomy with ontology, thus offering a Web2.0-style resolution for Web information organization.

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Biography:
　

Dr. Jun Wang is an associate professor in the Department of Information Management at Peking University. He has a multi-disciplinary education background with Master degree in Library and Information Science (Wuhan University) and PH.D degree in Computer Science (Peking University). His recent research interests include: network knowledge organization, digital library, text mining and information retrieval. He has papers published in Journal of the American Society for Information Science and Technology (JASIST), ACM+IEEE Joint Conference in Digital Libraries (JCDL), Conference in Knowledge and Information Management (CIKM) and peer-reviewed Chinese academic magazines. His research works are funded and supported by Natural Science Foundation of China (NSFC), Social Science Foundation of China, OCLC and Library of Congress. You are welcome to visit his website to know more at http://KVision.pku.edu.cn.

************************* ALL ARE WELCOME ************************

Host	:	Prof. Christopher C. Yang
Tel	:	(852) 2609-8239
Email	:	yang@se.cuhk.edu.hk
Enquiries	:	Prof. Nan Chen or Prof. Sean X. Zhou
	:	Department of Systems Engineering and Engineering Management
		CUHK
Website	:	http://www.se.cuhk.edu.hk/~seg5810
Email	:	seg5810@se.cuhk.edu.hk

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