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首页> 外文学位 >Ontology-based search algorithms over large-scale unstructured peer-to-peer networks.
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Ontology-based search algorithms over large-scale unstructured peer-to-peer networks.

机译：大型非结构化对等网络上基于本体的搜索算法。

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摘要

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.;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.;INDEXWORDS: Peer-to-Peer networks, Query routing, Semantic search, Unstructured overlay, Indexing, Semantic clustering, Replication.
机译：对等（P2P）系统已经成为构建大规模分布式系统的有希望的范例。它们提供了一种健壮，可扩展和分散的方式来共享和发布数据。近年来，非结构化的P2P系统因其广泛的适用性和简便性而广受欢迎。然而，由于缺乏网络结构，有效的资源发现仍然是非结构化P2P网络的一项基本挑战。为了有效地利用非结构化P2P系统的功能，需要克服分布式知识管理和信息搜索中的挑战。解决与知识管理和搜索有关的问题的当前尝试集中在基于简单术语的路由索引和关键字搜索查询。许多P2P资源发现应用程序将需要更复杂的查询功能，因为用户将发布语义丰富的数据，并且需要有效的内容定位算法，以适度的成本找到目标内容。因此，有效的知识和数据管理技术以及用于信息检索的搜索工具势在必行和持久。；在本文中，我提出了一套协议，可帮助在非结构化对等覆盖中进行有效的内容定位和知识管理。这些方案的基础是它们能够从过去的对等交互中学习，并随着时间的推移提高性能。我的工作旨在在非结构化P2P环境中提供有效且带宽高效的搜索和数据共享。提出了一套算法，可为非结构化P2P覆盖中的对等体提供有效定位，传播和复制对象所必需的状态。此外，对联邦搜索的现有方法进行了调整，并开发了新方法来进行语义知识表示，资源选择和知识演化，以在动态和分布式P2P网络环境中进行有效搜索。此外，在网络演化模型中提出了一种自主和分散的算法，该算法可以将非结构化的网络拓扑重组为具有所需搜索增强特性的拓扑，以促进在动态环境中进行有效且高效的语义搜索。路由，语义搜索，非结构化覆盖，索引编制，语义聚类，复制。

著录项

  • 作者

    Dissanayaka Mudiyanselage, Rasanjalee Himali.;

  • 作者单位

    Georgia State University.;

  • 授予单位 Georgia State University.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 165 p.
  • 总页数 165
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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