Earticle

초록

영어

Semi-structured documents formatted with the extensible markup language (XML) are gaining wide use by a whole range of applications including E-Commerce, E-Business, E-Science, Digital Libraries (DL), File Sharing, and in the last years especially by applications for Peer-to-Peer (P2P) systems. P2P architectures have been identified as an efficient means of ad-hoc collaboration and information sharing among large, diverse, and dynamic sets of user. However, current P2P search engines for XML-documents lack the use of information retrieval methods to efficiently search XML collections for relevant information.
This article proposes a search engine for P2P systems that applies an extension of the vector space model and exploits structural information to compute relevance of XML-documents, and thus may significantly improve retrieval performance. We concentrate on the cooperation of peers that perform a distributed query execution through cooperated retrieval and ranking of dynamic XML documents. The interaction between the participating peers is based on a structured P2P-network and uses an adaption of the DHT-algorithm Kademlia.

목차

Abstract 
 1. Introduction
 2. Peer-based XML-Retrieval
  2.1. Retrieval goals
  2.2. Peer architecture
  2.3. Information Retrieval layer
  2.4. Peer-to-Peer layer
  2.5. Interaction and data flow
 3. Cooperative retrieval process
  3.1. Indexing and ranking model
  3.2. Distributed retrieval  
 4. Future work
 5. References

저자

• Judith Winter [ Institute of Computer Science / Telematics J.W.Goethe-University Frankfurt, Germany ]
• Oswald Drobnik [ Institute of Computer Science / Telematics J.W.Goethe-University Frankfurt, Germany ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605