Abstract
This Paper introduces PKUSpace – a collaborative platform for scientific learning and researching. Supported by efficient automated metadata extraction and powerful text classification modules, PKUSpace provides users with a very helpful and interactive procedure to upload e-resources. We use heuristic methods and regular expression matching techniques to mine different patterns and extract relevant metadata. Upon the well-organized e-sources, we builds a uniform retrieval interface with multi-function to provide taxonomy navigation, full-text search, structural search in the metadata level and meta-searching module with novel result-merging method. Combining two on-line scoring methods: scoring with exponential distribution and metadata scoring, we achieve an effective merging result of matched documents. Furthermore, PKUSpace provides an academic forum for students and professional users in every community to discuss their ideas and research work freely.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Duval, E., Forte, E.: The Ariadne Knowledge Pool System. Communications of the ACM 44(5) (May 2001)
Shen, Z., Shi, Y., Xu, G.: A Learning Resource Metadata Management System Based on LOM Specification. Computer Science Department, Tsinghua University (2002)
http://www-900.ibm.com/cn/software/products/db2/content_manager.shtml
Bass, M.J., Branschofsky, M., et al.: DSpace - A Sustainable Solution for Institutional Digital Asset Services - Spanning the Information Asset Value Chain: Ingest, Manage, Preserve, Disseminate, March 1 (2002)
Deng, Z.-H., Tang, S.-W., Yang, D.-Q., Zhang, M., Wu, X.-B., Yang, M.: A Linear Text Classification Algorithm Based on Category Relevance Factors. In: Lim, E.-p., Foo, S.S.-B., Khoo, C., Chen, H., Fox, E., Urs, S.R., Costantino, T. (eds.) ICADL 2002. LNCS, vol. 2555, pp. 88–98. Springer, Heidelberg (2002)
Wang, S.-a., Zhang, M., Wang, A.-h., Yang, D.-q.: Constructing an Interoperable Digital Library Metadata Service Based on the OAI Protocol. In: Proceedings of the 19th National Conference on Data Bases, Zhengzhou, China (August 2002) (in Chinese)
Kahn, R., Wilensky, R.: A Framework for Distributed Digital Object Services (May 1995)
Seymore, K., McCallum, A., Rosenfeld, R.: Learning hidden Markov model structure for information extraction. In: AAAI 1999 Workshop on Machine Learning for Information Extraction (1999)
Ipeirotis, P.G., Gravano, L.: Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection. In: 28th VLDB Conference
Callan, J.P., Lu, Z., Croft, W.B.: Searching Distributed Collections with Inference Networks. In: SIGIR 1995: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 21–28 (1995)
Manmatha, R., Rath, T., Feng, F.: Modeling Score Distributions for Combining the Outputs of Search Engines. In: SIGIR 2001 (2001)
Si, L., Callan, J.: Using Sampled Data and Regression to Merge Search Engine Results. In: SIGIR 2002 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, M. et al. (2004). PKUSpace: A Collaborative Platform for Scientific Researching. In: Liu, W., Shi, Y., Li, Q. (eds) Advances in Web-Based Learning – ICWL 2004. ICWL 2004. Lecture Notes in Computer Science, vol 3143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27859-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-27859-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22542-3
Online ISBN: 978-3-540-27859-7
eBook Packages: Springer Book Archive