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| Light-weight Intellectual Selection of Resources and Its Application |
| Li Sa |
1(Library of Chinese Academy of Sciences，Beijing 100080，China)
2(Graduate School of the Chinese Academy of Sciences, Beijing 100049,China ) |
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Abstract One disadvantage of the fast growth of digital resources in digital libraries is the decrease of retrieval speed and result accuracy. To solve this problem, Light-weight Intellectual Selection of Resources uses a kind of fast, light-weight method without much manual work to evaluate all the digital resources and take out the irrelevant ones before the retrieval goes into resource details. In this paper, firstly the framework of Light-weight Intellectual Selection of Resources is given. Secondly its five components are analyzed. At last, its application in CSDL Cross-Database Search System is tested and the result is evaluated.
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Received: 08 July 2005
Published: 25 October 2005
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Corresponding Authors:
Li Sa
E-mail: lis@mail.las.ac.cn
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| About author:: Li Sa |
| 1P. G. Ipeirotis, L. Gravano. Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection. VLDB. 2002http://pages.stern.nyu.edu/~panos/publications/vldb2002.pdf (Accessed Jun.8, 2005)
2STARTS: Stanford Protocol Proposal for Internet Retrieval and Search.http://www-db.stanford.edu/~gravano/starts.html (Accessed Jun.8,2005)
3http://www-ksl.stanford.edu/kst/what-is-an-ontology.html (Accessed Mar.22, 2005)
4Randall Davis MIT AI Lab, Howard Shrobe MIT AI Lab and Symbolics, Inc., Peter Szolovits MIT Lab for Computer Science. What is a Knowledge Representation. http://medg.lcs.mit.edu/ftp/psz/k-rep.html (Accessed Jun.8, 2005)
5http://dublincore.org/documents/dces/ (Accessed May.12, 2005)
6http://www.jfree.org/jfreechart/ (Accessed May.18, 2005)
7http://cross.csdl.ac.cn/metasearch/jsp/index.jsp (Accessed Jun.8, 2005) |
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