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Semantics in the Deep: Semantic Analytics for Big Data

Department of Computer Engineering & Informatics, University of Patras, Patras 26504, Greece
Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
Author to whom correspondence should be addressed.
Received: 25 April 2019 / Accepted: 6 May 2019 / Published: 7 May 2019
(This article belongs to the Special Issue Semantics in the Deep: Semantic Analytics for Big Data)
PDF [144 KB, uploaded 7 May 2019]
Note: In lieu of an abstract, this is an excerpt from the first page.


One cannot help but classify the continuous birth and demise of Artificial Intelligence (AI) trends into the everlasting theme of the battle between connectionist and symbolic AI [...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Koutsomitropoulos, D.; Likothanassis, S.; Kalnis, P. Semantics in the Deep: Semantic Analytics for Big Data. Data 2019, 4, 63.

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