The Web Science Trust

Spreading Activation for Web Scale Reasoning: Promise and Problems

Akim, Nazihah Md and Dix, Alan and Katifori, Akrivi and Lepouras, Giorgos and Shabir, Nadeem and Vassilakis, Costas (2011) Spreading Activation for Web Scale Reasoning: Promise and Problems. pp. 1-4. In: Proceedings of the ACM WebSci'11, June 14-17 2011, Koblenz, Germany.

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Official URL: http://www.websci11.org/fileadmin/websci/Posters/105_paper.pdf

Abstract

Various forms of spreading activation has been used in a number of web systems, not least in the PageRank algorithm. In our own work we have been using this as a technique for managing context over small and large ontologies, and both our own work and that in LarKC suggests that spreading activation has the potential to aid in reasoning over web-scale data sets including the growing set of linked open data resources. Of particular importance is that spreading activation can be applied locally to a dynamic selfselecting working set of an (practically) unbound linked data collection, as well as globally to the entire collection. However, this potential does not come without problems, some concerning the nature of the algorithm on any large data set, and some more to do with the particular nature of linked open data.

Item Type:Conference or Workshop Item (Poster)
Web Science Comments:WebSci Conference 2011
Subjects:WS2 Artificial Intelligence > WS21 Knowledge Representation
WS1 Computer Science > WS12 Decentralized Information Systems
Web Science Events > Web Science 2011
ID Code:514
Deposited By: Lisa Sugiura
Deposited On:07 Jun 2011 16:38
Last Modified:25 Oct 2011 17:11

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