Semantic driven hashing (SDH): an ontology-based search scheme for the semantic aware network (SA Net)

Abstract

The success of personalized resource discovery depends on its ability to allow users to discover, extract and integrate information of interest from heterogeneous sources, and its ability to provide these users with efficient tools to manipulate and convert the discovered information into knowledge. We propose Semantic Aware Network (SA Net), a structured peer-to-peer (P2P) overlay architecture to support the basic functionalities of a personalized resource discovery. The SA Net uses an ontology-based representation of the resources to enable a semantic resource discovery and access that reflects the interest of the user. In this paper, we describe the the SA Net search scheme "Semantic-driven Hashing" (SDH), which uses lexical-based ontology to provide a foundation for indexing and search in structured P2P overlay infrastructure.

INS: A Novel P2P Semantic Search Approach Using Interest Attenuation Policy

“…Reference [12]discusses lexical-based ontology to provide foundation for indexing in structuredP2P system. Reference [13] proposes an ontology-based scheme which could measureinterestsimilarity between peers.…”

Efficient content search in iShare, a P2P based Internet-sharing system

“…There are several approaches to exploit semantic information for search or ranking: one approach [15] uses a semantic vector, which is generated by Latent Semantic Indexing (LSI) [9], as the key to store the document index in Content-addressable Networks (CAN); and [3,13] use a predefined classification hierarchy or ontology to exploit a semantic relationship. In contrast to these approaches, [8] uses a path-name-based semantic hierarchy, which is similar to our system.…”

“…Ranking techniques have been studied in the area of semantic searches for P2P overlay networks [15,3,13,8]. In a semantic search, semantic information, such as a classification hierarchy, is used either to restrict the search scope with improved search efficiency or to rank the retrieved search results by their semantic relevance.…”

“…However, most of these approaches provide a single semantic concept search only [8], i.e., they do not support content search capabilities. Some other approaches can not handle the update of semantic information, because they rely on either a static classification hierarchy [3,13] or predefined dictionary space [15].…”