rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Web Communities
    sub title: Analysis and Construction
  name:
    name part: Zhang, Yanchun.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Yu, Jeffrey Xu.
    role:
      role term: author.
  name:
    name part: Hou, Jingyu.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 187 p. online resource.
  abstract: Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques. Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications. Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations.
  table of contents: Preliminaries -- HITS and Related Algorithms -- PageRank Related Algorithms -- Affinity and Co-Citation Analysis Approaches -- Building a Web Community -- Web Community Related Techniques -- Conclusions.
  note: by Yanchun Zhang, Jeffrey Xu Yu, Jingyu Hou.
  subject:
    topic: Computer science
  subject:
    topic: Information storage and retrieval
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: E-commerce
  subject:
    topic: Computer engineering
  subject:
    topic: Computer Science
  subject:
    topic: Computer Engineering
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: User Interfaces and Human Computer Interaction
  subject:
    topic: e-Commerce/e-business
  classification: TK7885-7895
  classification: 621.39
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783540277392
  identifier: http://dx.doi.org/10.1007/3-540-27739-0
  record info:
    record creation date: 100301
    record change date: 20151204144720.0
    record identifier: 978-3-540-27739-2