In today's article we are going to talk about Semantic reasoner, a topic of great relevance today. Semantic reasoner is a topic that has captured the attention of many people around the world and has generated an intense debate in society. Throughout this article, we will explore different aspects related to Semantic reasoner, from its origin and evolution, to its impact on people's lives. In addition, we will analyze the different perspectives and opinions that exist around Semantic reasoner, as well as its implications at an individual and collective level. Don't miss this complete guide on Semantic reasoner, where you will find relevant and updated information on this fascinating topic.
Piece of software able to infer logical consequences from a set of asserted facts or axioms
Cwm, a forward-chaining reasoner used for querying, checking, transforming and filtering information. Its core language is RDF, extended to include rules, and it uses RDF/XML or N3 serializations as required.
Drools, a forward-chaining inference-based rules engine which uses an enhanced implementation of the Rete algorithm.
Evrete, a forward-chaining Java rule engine that uses the Rete algorithm and is compliant with the Java Rule Engine API (JSR 94).
Flora-2, an object-oriented, rule-based knowledge-representation and reasoning system.
Jena, an open-source semantic-web framework for Java which includes a number of different semantic-reasoning modules.
OWLSharp, a lightweight and friendly .NET library for realizing intelligent Semantic Web applications.
NRules a forward-chaining inference-based rules engine implemented in C# which uses an enhanced implementation of the Rete algorithm
Prova, a semantic-web rule engine which supports data integration via SPARQL queries and type systems (RDFS, OWL ontologies as type system).
DIP, Defeasible-Inference Platform (DIP) is an Web Ontology Language reasoner and Protégé desktop plugin for representing and reasoning with defeasible subsumption. It implements a Preferential entailment style of reasoning that reduces to "classical entailment" i.e., without the need to modify the underlying decision procedure.
S-LOR (Sensor-based Linked Open Rules) is a rule-based reasoning engine and an approach for sharing and reusing interoperable rules to deduce meaningful knowledge from sensor measurements.
^Goertzel, Ben; Iklé, Matthew; Goertzel, Izabela Freire; Heljakka, Ari (2008). Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference. Springer Science & Business Media. p. 42. ISBN9780387768724.
^Britz, K. and Varzinczak, I., (2018). Rationality and context in defeasible subsumption. In International Symposium on Foundations of Information and Knowledge Systems (pp. 114-132). Springer, Cham.