LaneConnex: an integrated biomedical digital library interface.

This paper describes one approach to creating a search application that unlocks hetergeneous content stores and incorporates integrative functionality of Web search engines. LaneConnex is a search interface that identifies journals, books, databases, calculators, bioinformatics tools, help informati...

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Detalles Bibliográficos
Publicado en:Information Technology & Libraries Vol. 28; no. 1; pp. 31 - 41
Autores principales: Ketchell DS, Steinberg RM, Yates C, Heilemann HA
Formato: pictorial tables/charts Journal Article
Publicado: American Library Association Mar2009
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2009
      vid: 28
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      pub: American Library Association
      place: Chicago, Illinois
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        atl: LaneConnex: an integrated biomedical digital library interface.
      aug:
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          Ketchell DS
          Steinberg RM
          Yates C
          Heilemann HA
        affil: Knowledge Integration Programmer/Architect, Lane Medical Library & Knowledge Management Center, Information Resources & Technology, Stanford University School of Medicine, Stanford, California.
      sug:
        subj:
          Information Retrieval Methods
          Libraries, Electronic
          User-Computer Interface
          Web Browsers
          Computerized Literature Searching, End User Methods
          Data Display
          Information Seeking Behavior
          Libraries, Health Sciences
          Programming Languages
          Systems Design
      ab: This paper describes one approach to creating a search application that unlocks hetergeneous content stores and incorporates integrative functionality of Web search engines. LaneConnex is a search interface that identifies journals, books, databases, calculators, bioinformatics tools, help information, and search hits from more than three hundred full-text heterogeneous clinical and bioresearch sources. The use interface is a simple query box. Results are ranked by relevance with options for filtering by content type or expanding to the next most likely set. The system is built using component-oriented programming design. The underlying architecture is built on Apache Cocoon, Java Servlets, XML./XSLT, SQL, and JavaScript. The system has proven reliable in production, reduced user time spent finding information on the site, and maximized the institutional investment in licensed resources.
      pubtype: Academic Journal
      doctype:
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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