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Knowledge-based semantic clustering
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Source Symposium on Applied Computing archive
Proceedings of the 2008 ACM symposium on Applied computing table of contents
Fortaleza, Ceara, Brazil
SESSION: Engineering large-scale distributed systems table of contents
Pages: 460-467  
Year of Publication: 2008
ISBN:978-1-59593-753-7
Authors
John Keeney  Trinity College Dublin, Ireland
Dominic Jones  Trinity College Dublin, Ireland
Dominik Roblek  Trinity College Dublin, Ireland
David Lewis  Trinity College Dublin, Ireland
Declan O'Sullivan  Trinity College Dublin, Ireland
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Users of the web are increasingly interested in tracking the appearance of new postings rather than locating existing knowledge. Coupled with this is the emergence of the Web 2.0 movement (where everyone effectively publishes and subscribes), and the concept of the "Internet of Things". These trends bring into sharp focus the need for efficient distribution of information. However to date there has been few examples of applying ontology-based techniques to achieve this. Knowledge-based networking (KBN) involves the forwarding of messages across a network based not just on the contents of the messages but also on the semantics of the associated metadata. In this paper we examine the scalability problems of such a network that would meet the needs of Internet-scale semantic-based event feeds. This examination is conducted by evaluating an implemented extension to an existing pub-sub content-based networking (CBN) algorithm to support matching of notification messages to client subscription filters using ontology-based reasoning. We also demonstrate how the clustering of ontologies leads to increased efficiencies in the subscription forwarding tables used, which in turn results in increased scalability of the network.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
John Keeney: colleagues
Dominic Jones: colleagues
Dominik Roblek: colleagues
David Lewis: colleagues
Declan O'Sullivan: colleagues