Category Archives: Semantic Web

Business Rules and Ontology in an Event-Driven Architecture

Posted on January 24, 2023 by decisionmanagementcommunity

Bas van der Raadt describes an event-driven business architecture that connects business activities (business rules) with business data (ontology) via business events (state changes of business data). model. He explains how everything comes together and how it helps business people … Continue reading →

Posted in Architecture, Business Rules, Event-driven, Semantic Web | Leave a comment

DecisionCAMP Monthly Session on Jan 11, 2023

Posted on January 2, 2023 by decisionmanagementcommunity

The first 2023 DecisionCAMP Monthly Session “Why is symbolic AI being overshadowed by statistical AI?” presented by Bas van der Raadt will be held on Jan 11 at 12:00 pm EST (New York Time). Register for free here.

Posted in Artificial Intelligence, Decision Intelligence, Decision Modeling, DecisionCAMP, Human-Machine Interaction, Knowledge Representation, Natural Language Processing, Reasoning, Semantic Web | Leave a comment

In memory of Dr. Harold Boley

Posted on May 17, 2021 by jacobfeldman

Dr. Harold Boley passed away in December 2020. Being a well-known scientist in the semantic web movement and the Chair of RuleML from 2001 to 2020, Harold devoted a lot of efforts to integrate the academic research in the area … Continue reading →

Posted in DecisionCAMP, Misc, RuleML, Semantic Web | Leave a comment

Knowledge Specification and Querying

Posted on July 25, 2019 by jacobfeldman

Our colleagues from the Rules and Reasoning community have just reported interesting results. They built a system that achieves 100% accuracy on an extensive test suite of movie-related questions, e.g. “Who appears in a Steven Spielberg directed film?”. Their approach … Continue reading →

Posted in Natural Language Processing, Reasoning, Semantic Web | Leave a comment

“Rules and Reasoning” Event at W3C Graph Data Workshop

Posted on March 14, 2019 by decisionmanagementcommunity

This event was held on March 4-6, 2019 in Berlin, Germany.  The following kinds of rules were discussed: Rules for graph knowledge inference Rules for graph data transformation/mapping Rules for graph data validation Rules for RDF shapes Rules for (controlled) natural … Continue reading →

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Tim Berners-Lee: Game On!

Posted on September 29, 2018 by decisionmanagementcommunity

With an ambitious decentralized platform, the father of the web  Sir Tim Berners-Lee will launch Inrupt, a startup that he has been building, in stealth mode, for the past nine months. Its mission is to turbocharge a broader movement afoot, among … Continue reading →

Posted in Innovation, Semantic Web, Trends | Leave a comment

Will we see Prolog’s resurgence?

Posted on August 22, 2018 by decisionmanagementcommunity

Is Prolog the next good idea? Prolog, introduced in 1972, “was a short introduction to open doors to other languages than C, Java, Python or so. In a jungle of hundreds of programming languages, Prolog fits like a glove into the formalism of … Continue reading →

Posted in Artificial Intelligence, Semantic Web | Leave a comment

Knowledge Graphs

Posted on August 21, 2018 by decisionmanagementcommunity

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

Posted on August 7, 2018 by decisionmanagementcommunity

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

Posted on June 21, 2018 by decisionmanagementcommunity

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 →

Posted in Artificial Intelligence, Machine Learning, Semantic Web | Leave a comment