Semi-structured Semantic Overlay for Information Retrieval in Self-organizing Networks
Résumé
As scalability and flexibility have become the critical concerns
in information management systems, self-organizing
networks attract attentions from both research and industrial
communities. This work proposes a semi-structured
semantic overlay for information retrieval in large-scale selforganizing
networks. With the autonomy to their own resources,
the nodes are organized into a semantic overlay
hosting topically discriminative communities. For information
retrieval within a community, unstructured routing approach
is employed for the sake of flexibility; While for joining
new nodes and routing queries to a distant community, a
structured mechanism is designed to save the traffic and time
cost. Different from the semantic overlay in the literature,
our proposal has three contributions: 1. we design topicbased
indexing to form and maintain the semantic overlay,
to guarantee both scalability and efficiency; 2. We introduce
unstructured routing approach within the community,
to allow flexible node joining and leaving; 3. We take advantage
of the interaction among nodes to capture the overlay
changes and make corresponding adaption in topic-based indexing.