Stanford CoreNLP provides a set of natural language analysis tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract open-class relations between mentions, etc.
Map-Reduce is on its way out. But we shouldn’t measure its importance in the number of bytes it crunches, but the fundamental shift in data processing architectures it helped popularise.
From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures.
The “big elephant in the room” in the ongoing CEP dialog is that most of the current (CEP) software on the market is not capable of machine learning and statistical analysis of dynamic real-time situations. Software vendors have been promoting and selling business process automation solutions and calling this approach “CEP” when, in fact, nothing is new. There is certainly no “technology leap” in these systems, as sold today.
F. Haak. Information between Data and Knowledge, Volume 74 von Schriften zur Informationswissenschaft, Werner Hülsbusch, Glückstadt, Gerhard Lustig Award Papers.(2021)
M. Atzmueller, L. Thiele, G. Stumme, und S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)
M. Atzmueller, L. Thiele, G. Stumme, und S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)