Use of Artificial Intelligence And Web Scraping Methods To Retrieve Information From The World Wide Web
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 1
Abstract
The World Wide Web could represent a valid substitute for the traditional way of acquiring information. However, using this platform implies new challenges that are derived from the intrinsic nature of the information attained, which is expansive, sparse and mostly unstructured. We investigated the possibility of structuring data from different websites through web scraping techniques. Moreover, we exploited what is offered by some web search engines to progressively create queries that enabled us to select the most useful information. To s uch purpose, we used a strategy that simulated the human behaviour obtaining timely price statistics to be included in the Agricultural Market Information System developed by FAO. Disclaimer: The designations employe d and the presentation of material in this paper do not imply the expression of any opinion whatsoever on the part of the Food and Agricultural Organization of the United Nations (FAO) concerning the legal or development status of any country, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this paper are those of the authors and do not necessarily reflect the views or policies of FAO
Authors and Affiliations
Marco Scarnò
Keywords
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- DOI 10.9790/9622-0801021825.
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