Abstract
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.
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Vivekavardhan, J., Chakravarthy, A.S., Ramesh, P. (2020). Search Engines and Meta Search Engines Great Search for Knowledge: A Frame Work on Keyword Search for Information Retrieval. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_54
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