https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-39940-9_1224
Semantic Overlay Networks
Synonyms
Definition
Semantic Overlay Networks are types of Overlay Networks where the topology is formed according to the resources (i.e., services or data provided) of the participants. This is done on the basis of similarity between participants, which is calculated by means of resource metadata exchange (e.g. keywords, term vectors, concepts from ontologies, histograms).
Historical Background
Semantic Overlay Networks were introduced in 2002, by H. Garcia-Molina and A. Crespo [3]. The motivation was to give an alternative to inefficient search methods for overlay networks, one that would provide more relevant results in less time and using less resources (mainly bandwidth).
Foundations
The original idea of Semantic Overlay Networks [3] was to organize the nodes that participate in a network into many different overlays, based on the content that the nodes are contributing and some classification scheme for this content. As one overlay is created for each..
https://link.springer.com/chapter/10.1007/978-0-387-09751-0_17
Distributed Semantic Overlay Networks
- 1.Department of InformaticsAthens University of Economics and Business (AUEB)AthensGreece
- 2.Department of Computer and Information ScienceNorwegian University of Science and Technology (NTNU)TrondheimNorway
Chapter
First Online: 15 October 2009
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Abstract
Semantic Overlay Networks (SONs) have been recently proposed as a way to organize content in peer-to-peer (P2P) networks. The main objective is to discover peers with similar content and then form thematically focused peer groups. Efficient content retrieval can be performed by having queries selectively forwarded only to relevant groups of peers to the query. As a result, less peers need to be contacted, in order to answer a query. In this context, the challenge is to generate SONs in a decentralized and distributed manner, as the centralized assembly of global information is not feasible. Different approaches for exploiting the generated SONs for content retrieval have been proposed in the literature, which are examined in this chapter, with a particular focus on SON interconnections for efficient search. Several applications, such as P2P document and image retrieval, can be deployed over generated SONs, motivating the need for distributed and truly scalable SON creation. Therefore, recently several research papers focus on SONs as stated in our comprehensive overview of related work in the field of semantic overlay networks. A classification of existing algorithms according to a set of qualitative criteria is also provided. In spite of the rich existing work in the field of SONs, several challenges have not been efficiently addressed yet, therefore, future promising research directions are pointed out and discussed at the end of this chapter.
GridVine: Building Internet-Scale Semantic Overlay Networks
This paper addresses the problem of building scalable semantic overlay networks. Our approach follows the principle of data independence by separating a logical layer, the semantic overlay for managing and mapping data and metadata schemas, from a physical layer consisting of a structured peer-to-peer overlay network for efficient routing of messages. The physical layer is used to implement various functions at the logical layer, including attribute-based search, schema management and schema mapping management. The separation of a physical from a logical layer allows us to process logical operations in the semantic overlay using different physical execution strategies. In particular we identify iterative and recursive strategies for the traversal of semantic overlay networks as two important alternatives. At the logical layer we support semantic interoperability through schema inheritance and Semantic Gossiping. Thus our system provides a complete solution to the implementation of semantic overlay networks supporting both scalability and interoperability.
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