J. Keeney, D. Jones, D. Roblek, D. Lewis, D. O’Sullivan ‘Knowledge-based semantic clustering’ in proceedings of the 23rd Annual ACM Symposium on Applied Computing (SAC 2008), Fortaleza, Ceará, Brazil, March 16 - 20 2008, (2008), pp 460 - 467
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.
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