Category Archives: Semantic Web

Knowledge Graphs

Knowledge Graphs are becoming increasingly important to support decision and process augmentation based on linked data. “It’s all about things, not strings: A Knowledge Graph represents a knowledge domain. It connects things of different types in a systematic way. Knowledge … Continue reading

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Smart Snippets: Semantic Web Comes of Age

On Aug. 3 Forbes published an article “The Semantic Web Comes of Age” by Kurt Cagle. “Beginning in 2017, both Google and Bing announced that they would be supporting the use of embedded smart snippets in web content. A smart snippet is a … Continue reading

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NYT Interview with Benjamin Grosof

New Your Times published an interview with Benjamin Grosof, a leading AI expert and a frequent presenter at RuleML+RR and DecisionCAMP.  While deep learning comes from the statistical side of AI, the interview brings attention to non-deep learning tools such as Prolog, a programming language … Continue reading

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Does Real-World Decision Management Need Inference?

A set of recent articles by Paul Haley again brings attention to this important question. Paul insists that “It’s time to trade rule technology dating back to the 80’s for state of the art AI” and points that “BRMS are incapable … Continue reading

Posted in Artificial Intelligence, BPM, Decision Modeling, Events, Rule Engines and BRMS, Semantic Web | 3 Comments

It’s time to trade rule technology for state of the art AI?

Five years ago Paul Haley expressed his frustrations with production rule technology (to which he was one of the major contributors) because of its inability to perform deduction. He wrote that rule vendors should stop “dressing up a procedural  language!” … Continue reading

Posted in Artificial Intelligence, Business Analytics, Rule Engines and BRMS, Semantic Web, Trends | 1 Comment

Decision Management and Semantic Reasoning

“This September DecisionCAMP and RuleML+RR will be co-located again for the third time during the Logic for AI 2018 summit in Luxembourg. These two events represent two different but closely related fields of the knowledge representation movement: Business Rules & Decisions … Continue reading

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