Overview
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Henri DOU: Director, Atelis (Strategic Intelligence Workshop), ESCEM
INTRODUCTION
Often, an Internet search using conventional search engines leads to sets of results which, although arranged in a certain order, do not highlight the main themes covered by the search. References are not presented in meaningful blocks. As a result, the user cannot directly access the various themes selected in the search. Mapping of the subject is therefore not available.
To provide an answer to this problem, companies have made "clustering engines" available via the Internet which, based on a question posed by the user, will provide the results by dividing them into significant blocks with a precise heading for each block. This allows the user to see almost instantaneously the different themes that appear in the search result, and also to access each of the answers present in the blocks of information. This seriation of results is achieved using data analysis programs that are transparent to the user.
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Using clustering engines in document retrieval
Bibliography
Ghosal A., Nandy A., Das A.K., Goswami S. and Panday M., A short review on different clustering techniques and their applications. Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018, pp.69-83 (2020).
Bae J., Helldin T., Riveiro M., Nowaczyk S., Bouguelia M.R. and Falkman G., Interactive clustering: A comprehensive review. ACM Computing Surveys (CSUR), 53(1), pp.1-39 (2020)....
Websites
Access to Carrot2 clustering software.
Access to Lingo 3G clustering software.
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