Semi-structured Semantic Overlay for Information Retrieval in Self-organizing Networks

Yulian Yang 1 Sylvie Calabretto 1 Lionel Brunie 1
1 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : 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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01352969
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Submitted on : Wednesday, August 10, 2016 - 4:17:13 PM
Last modification on : Friday, January 11, 2019 - 4:34:26 PM

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Yulian Yang, Sylvie Calabretto, Lionel Brunie. Semi-structured Semantic Overlay for Information Retrieval in Self-organizing Networks. www2012 PhDSymposium, Apr 2012, Lyon, France. pp.203-208, ⟨10.1145/2187980.2188009⟩. ⟨hal-01352969⟩

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