Abstract
Association Link Network (ALN) is proposed to establish association relations among Web resources, aiming at extending the hyperlink-based Web to an association-rich network and effectively supporting Web intelligence activities, such as Web-based learning. However, it is difficult to build the ALN one-off by direct computing since the huge number and quickly increasing learning resources on the Web. Thus, how to rapidly and accurately acquire the association relations between the new coming and existing learning resources has become a challenge in the incrementally building process of ALN. In this paper, a new algorithm is developed for incrementally updating ALN to cater for the dynamic management of learning resources increasing with time.
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
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web - a new form of web content that is meaningful to computers will unleash a revolution of new possibilities. Scientific American 284, 34–43 (2001)
Schwartz, D.G.: From open IS semantics to the Semantic Web: the road ahead. IEEE Intell.Syst. 18, 52 (2003)
Luo, X.F., Xu, Z., Yu, J., Liu, F.: Discovery of associated topics for the intelligent browsing. In: Pro. 1st IEEE Int. Conf. Ubi-Media Computing and Workshops, pp. 119–331 (2008)
Luo, X.F., Xu, Z., Yu, J., Chen, X.: Building Association Link Network for Semantic Link on Web Resources. IEEE Transactions on Automation Science and Engineering 8, 482–494 (2011)
Zhuge, H.: Autonomous semantic link network model for the Knowledge Grid. Concurrency and Computation: Practice and Experience 7, 1065–1085 (2007)
Xu, Z., Luo, X.F., Lu, W.J.: Association Link Network: An Incremental Semantic Data Model on Organizing Web Resources. In: 15th International Conference on Parallel and Distributed Systems, pp. 793–798 (2009)
Hasegawa, T., Sekine, S., Grishman, R.: Discovering Relations among Named Entities from Large Corpora. In: Proceeding of ACL 2004 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, H., Luo, X., Xu, Z., Zhang, J. (2011). Association Link Network: An Incremental Web Resources Link Model for Learning Resources Management. In: Leung, H., Popescu, E., Cao, Y., Lau, R.W.H., Nejdl, W. (eds) Advances in Web-Based Learning - ICWL 2011. ICWL 2011. Lecture Notes in Computer Science, vol 7048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25813-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-25813-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25812-1
Online ISBN: 978-3-642-25813-8
eBook Packages: Computer ScienceComputer Science (R0)