Search Engines and Meta Search Engines Great Search for Knowledge: A Frame Work on Keyword Search for Information Retrieval

  • J. Vivekavardhan
  • A. S. Chakravarthy
  • P. Ramesh
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)


In the modern information society knowledge have much higher priority, information is more and more accessible. Information Retrieval (IR) is a highly applied scientific discipline. IR is retrieving high quality pages that are relevant to user’s need. IR is concerned with filtering specific information from a set of data where Search Engine (SE) and Meta Search Engine (MSE) play an important role. SE is a web-based tool it searches the information as per the keywords given by the user. MSE sends the search query to multiple search engines at the same time to get the result to the user. The paper explores on IR, IR Algorithms, and Technological Evolution of SE. Further, it discusses about SEs Use Case Diagram, working process, types and its limitations of SEs. It also discuss about MSEs Technological Evolution and working process. Finally, paper presents framework for keyword search Architecture, modules for IR, program output written in java with Graphical User Interface, discussion, conclusion and suggestions for future research.


Information-Retrieval Search Engines Meta Search Engines Keyword search 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • J. Vivekavardhan
    • 1
  • A. S. Chakravarthy
    • 2
  • P. Ramesh
    • 3
  1. 1.Chairman BOS, Department of Library and Information ScienceOsmania UniversityHyderabadIndia
  2. 2.University LibraryOsmania UniversityHyderabadIndia
  3. 3.OUHyderabadIndia

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