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Ontology-based search algorithms ove...

Dissanayaka Mudiyanselage, Rasanjalee Himali.

Ontology-based search algorithms over large-scale unstructured peer-to-peer networks.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Ontology-based search algorithms over large-scale unstructured peer-to-peer networks.
Author:	Dissanayaka Mudiyanselage, Rasanjalee Himali.
Description:	165 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
Notes:	Advisers: Sushil K. Prasad; Shamkant Navathe.
Contained By:	Dissertation Abstracts International76-02B(E).
Subject:	Computer science.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3637673
ISBN:	9781321206371

Ontology-based search algorithms over large-scale unstructured peer-to-peer networks.
Dissanayaka Mudiyanselage, Rasanjalee Himali.

Ontology-based search algorithms over large-scale unstructured peer-to-peer networks. - 165 p.

Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.

Thesis (Ph.D.)--Georgia State University, 2014.

This item must not be sold to any third party vendors.

Peer-to-Peer(P2P) systems have emerged as a promising paradigm to structure large scale distributed systems. They provide a robust, scalable and decentralized way to share and publish data. The unstructured P2P systems have gained much popularity in recent years for their wide applicability and simplicity. However efficient resource discovery remains a fundamental challenge for unstructured P2P networks due to the lack of a network structure. To effectively harness the power of unstructured P2P systems, the challenges in distributed knowledge management and information search need to be overcome. Current attempts to solve the problems pertaining to knowledge management and search have focused on simple term based routing indices and keyword search queries. Many P2P resource discovery applications will require more complex query functionality, as users will publish semantically rich data and need efficiently content location algorithms that find target content at moderate cost. Therefore, effective knowledge and data management techniques and search tools for information retrieval are imperative and lasting.

ISBN: 9781321206371Subjects--Topical Terms:

199325
Computer science.

Ontology-based search algorithms over large-scale unstructured peer-to-peer networks.
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100 1 $a Dissanayaka Mudiyanselage, Rasanjalee Himali. $3 708744
245 1 0 $a Ontology-based search algorithms over large-scale unstructured peer-to-peer networks.
300 $a 165 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
500 $a Advisers: Sushil K. Prasad; Shamkant Navathe.
502 $a Thesis (Ph.D.)--Georgia State University, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Peer-to-Peer(P2P) systems have emerged as a promising paradigm to structure large scale distributed systems. They provide a robust, scalable and decentralized way to share and publish data. The unstructured P2P systems have gained much popularity in recent years for their wide applicability and simplicity. However efficient resource discovery remains a fundamental challenge for unstructured P2P networks due to the lack of a network structure. To effectively harness the power of unstructured P2P systems, the challenges in distributed knowledge management and information search need to be overcome. Current attempts to solve the problems pertaining to knowledge management and search have focused on simple term based routing indices and keyword search queries. Many P2P resource discovery applications will require more complex query functionality, as users will publish semantically rich data and need efficiently content location algorithms that find target content at moderate cost. Therefore, effective knowledge and data management techniques and search tools for information retrieval are imperative and lasting.
520 $a In my dissertation, I present a suite of protocols that assist in efficient content location and knowledge management in unstructured Peer-to-Peer overlays. The basis of these schemes is their ability to learn from past peer interactions and increasing their performance with time. My work aims to provide effective and bandwidth-efficient searching and data sharing in unstructured P2P environments. A suite of algorithms which provide peers in unstructured P2P overlays with the state necessary in order to efficiently locate, disseminate and replicate objects is presented. Also, Existing approaches to federated search are adapted and new methods are developed for semantic knowledge representation, resource selection, and knowledge evolution for efficient search in dynamic and distributed P2P network environments. Furthermore, autonomous and decentralized algorithms that reorganizes an unstructured network topology into a one with desired search-enhancing properties are proposed in a network evolution model to facilitate effective and efficient semantic search in dynamic environments.
520 $a INDEXWORDS: Peer-to-Peer networks, Query routing, Semantic search, Unstructured overlay, Indexing, Semantic clustering, Replication.
590 $a School code: 0079.
650 4 $a Computer science. $3 199325
690 $a 0984
710 2 $a Georgia State University. $b Computer Science. $3 708745
773 0 $t Dissertation Abstracts International $g 76-02B(E).
790 $a 0079
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3637673