Generating automatic linguistic descriptions with big data

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• 作者：Patricia Conde-Clemente ; ^a ; ^{condepatricia@uniovi.es} ; Gracian Trivino^b ; ^{gracian.trivino@phedes.com} ; Jose M. Alonso^c ; ^{josemaria.alonso.moral@ucs.es}
• 关键词：Linguistic descriptions ; Big data ; MapReduce ; Fuzzy logic
• 刊名：Information Sciences
• 出版年：2017
• 出版时间：20 February 2017
• 年：2017
• 卷：380
• 期：Complete
• 页码：12-30
• 全文大小：1151 K
• 卷排序：380

文摘

Dealing with Big Data, we have identified and analyzed seven issues: (1) scalability, (2) efficient processing, (3) incomplete and inaccurate data, (4) specific domains, (5) relevance of information, (6) levels of detail, and (7) intuitive and effective knowledge representation. We have developed a novel linguistic approach to deal with Big Data that fulfils these seven issues. We have provided an implementation of the paradigm “Linguistic Descriptions of Complex Phenomena” by applying MapReduce. We have taken advantage of Fuzzy Logic in order to manage incomplete and inaccurate Big Data.