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Academic Search Engines Academic Search Engines Presentation Transcript

  • ONLINE SEARCHING FOR PROFESSIONAL OR ACADEMIC PURPOSES – PART II Academic Search Engines September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Summary
    • Academic Search Engine Characterization
      • Inputs:
        • Information sources
        • Kind of documents
      • Output:
        • Types of retrieved documents (access)
    • Main academic search Engines
      • Google Scholar
      • Scirus
      • Live Academic
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Inputs: Information sources
    • Typology of institutions or corporations web sites indexed by the A-SE
      • Universities ( .edu sites)
      • Research centres (NASA, RAND, etc.)
      • Government (sites related with science, technology, etc.)
      • Journal and book publishers
      • Library collections
      • Digital repositories (e-prints, e-books, etc.)
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Inputs: Typology of documents
    • Web pages (and any kind of documents: pdf, word, etc.) published in web sites
    • Articles of peer review journals (both open access and subscription-based access)
    • Academic works , like dissertations, thesis, etc.
    • Patents
    • Books
    • References (not the full text document, only the bibliographic reference)
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Output: Types of Retrieved Documents
    • The retrieved documents in the search engine results page may be:
      • Free (web pages, open access peer review journal articles, etc.)
      • Free if you are in the campus or connected to the campus network (articles of the peer review journal that are subscribed by your University)
      • Not free: by payment because the journal is not subscribed by your university (articles of the peer review subscription-based journal)
      • References only (not the document: you have to find out the full text document by other ways)
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • The main Academic-Search Engines
    • Google Scholar (Google)
    • scholar.google.com
    • Scirus (Elsevier) www.scirus.com
    • Academic Live (Microsoft) academic.live.com
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Google Scholar - I
    • Google Scholar
      • Inputs:
        • All sources and types, except patents
      • Special features:
        • Citation analysis, ranking and navigation options
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Google Scholar - II September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Scirus - I
    • Scirus
      • Inputs:
        • All sources and types, except books and references
      • Special features:
        • The search facilities, the characteristics of the results page, the diversity of sources, the access to full text patents and the total amount of available information
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Scirus II September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Live Academic - I
    • Live Academic
      • Inputs:
        • All sources, except patents
      • Special features:
        • Visualization, sort and exportation options in the results page
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Live Academic - II September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Ranking by amount of information
    • Scirus
    • Google Scholar
    • Live
    • A simple test. Keyword: hypertext
    • Number of results in:
    • Scirus : 615,695 documents
    • Google Scholar : 252,000 documents
    • Live : 12,153 documents
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Conclusions - I
    • Databases vs. search engines: What is the different role of each system?
      • Academic databases (subscription-based):
        • Indispensable if you need to legitimate your work (for example, for a dissertation or to submit a paper to a peer review journal)
        • If you want to be sure about the state of art in your field
        • The most trustworthy information
      • Academic Search Engines (free-access):
        • The most up to date information
        • Quickly and easy access to information
        • Useful information: more practical, more understandable, more direct and academic-jargon free, etc. (but at your risk)
        • In addition, they contain, partially , the same documents that academic databases (but it is not sure and it is at a very different proportion, depending the field).
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master
  • Conclusions - II
    • Academic database will be essential for you for the reasons mentioned in previous slide… but the crude truth is that Academic Search Engines will make your life more easier.
    • In other words: probably, you will want to use search engine because its easiness, and probably you will not want to use databases because its (relative) difficulty, but you have to use it.
    • So… fortunately or unfortunately you will need both
    September 2007 L. Codina. UPF Interdisciplinary CSIM Master