Conference Paper

Association Link Network: An Incremental Web Resources Link Model for Learning Resources Management

DOI: 10.1007/978-3-642-25813-8_35 Conference: Advances in Web-Based Learning - ICWL 2011 - 10th International Conference, Hong Kong, China, December 8-10, 2011. Proceedings
Source: DBLP


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.

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    ABSTRACT: The Semantic Link Network (SLN) is a loosely coupled semantic data model for managing the network resources. A SLN consists of three components: a set of semantic nodes, a set of semantic links, and a set of reasoning rules. Semantic nodes can be objects of any types. Semantic links reflect the semantic relations among objects. Reasoning rules, which describe the internal relations among semantic links, are used to derive new semantic links hidden behind. SLN is designed to establish semantic relationships among various resources for extending the current hyperlink network to a semantic-rich network. In this paper, we conduct a survey on the research of SLN from its theory and applications. Furthermore, the future trends of SLN and it's potential applications in future Internet of Things are discussed.
    Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on; 10/2012