Abstract
The organization and discovery of grid resources are foundational and key subjects in grid research. Many research works in this field have presented the solutions to the problem, but few of them are focused on knowledge resources. This paper aims to explore how to support user's knowledge requests submitted in form of multi-keywords. We present a decentralized resource discovery method based on keyword combinations and node clusters. In the method, hot keyword combinations are formed based on user's knowledge requests. Then, grid nodes can be clustered according to these keyword combinations and user's knowledge requests will be transmitted to those clusters that have high correlations with the requests. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Li, H., & Liu, L. (2007). A decentralized resource discovery based on keywords combinations and node clusters in knowledge grid. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4681 LNCS, pp. 738–747). Springer Verlag. https://doi.org/10.1007/978-3-540-74171-8_73
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