Abstract
In the current digital world, where all the data is available digitally, data extraction has become quite a massive field of research. Web mining uses the data mining techniques to discover knowledge from the Web. Such sort of technique can be very useful in some applications which require massive and updated data. One of such applications that can deploy such an expertise automated query engine having a user-friendly graphical interface that can provide data regarding competitive exams. This paper proposes such a system that is more appropriate and advanced as it fetches data directly from one of the largest regularly updated database, i.e. Wikipedia.
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Poonam Malpani, Paras Bassi, Mehul Mahrishi, Vipin Jain (2016). A Novel Framework for Extracting GeoSpatial Information Using SPARQL Query and Multiple Header Extraction Sources. In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_56
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DOI: https://doi.org/10.1007/978-81-322-2638-3_56
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