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A Preliminary Empirical Analysis of Mobile Agent-Based P2P File Retrieval

  • Naoki Fukuta
Part of the Studies in Computational Intelligence book series (SCI, volume 365)

Abstract

In this paper, I present a preliminary empirical analysis of P2P-based semantic file sharing and retrieval mechanism. The mechanism enables us to utilize private ontologies for flexible concept-oriented semantic searches without loss of privacy in processing semantic matching among private metadata of files and the requested semantic queries. The private ontologies are formed on a certain reference ontology with differential ontologies for personalization. In my approach, users can manage and annotate their files with their own private ontologies. Reference ontologies are used to find out semantically relevant files for the given queries that include semantic relations among existing files and the requested files. Mobile agent approach is applied for both implementing a system with less use of network bandwidth and coding it into a set of simple and small programs. I show the effectiveness of the use of private ontologies in metadata-based file retrieval. Also I show that the mobile agent approach has rather less overheads in execution time when the network latency is relatively high, while it is small enough even when the network is ideally fast.

Keywords

Mobile Agent Distribute Hash Table Semantic Match Semantic Query Retrieval Mechanism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Naoki Fukuta
    • 1
  1. 1.Faculty of InformaticsShizuoka UniversityHamamatsuJapan

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