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AUTHOR(S): Emmanuel Boachie, Chunli Li
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TITLE Appropriate Information Retrieval Tools for Efficient Data Searching |
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ABSTRACT The retrieval of data and information housed in different media types is a day to day activity done by every technologist, scientist, and librarian from time to time in their work hours. Over the recent years, many tactical and technical progressive advances have been made that we are the witnesses to this new distributed sets of tools. Exponentially, the high growth rate in data archives has catalyzed the need for wiser techniques to handle extraction of this information. Graphical representation of gigantic databases is rapidly increasing based on the spatialized views. However, space as a data attribute has implications for using spatial concepts. This research paper covers the models and algorithms that can be used as an Information retrieval tools. Experiment is conducted to determine the one which is more appropriate for data searching. The algorithms under study are Ranking Algorithm, Cluster algorithm and Tokenization algorithms. |
KEYWORDS Information, Data, Retrieval, Algorithm |
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Cite this paper Emmanuel Boachie, Chunli Li. (2020) Appropriate Information Retrieval Tools for Efficient Data Searching. International Journal of Computers, 5, 52-65 |
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