Ontology

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Ontology

Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, 
the Semantic Web, systems  engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, 
and information architecture as a form of knowledge representation about the world or some part of it. 
The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework.
The main thread of ontology in the philosophical sense is the study of entities and their relations. 
The question ontology asks is: 
What kinds of things exist or can exist in the world, and what manner of relations can those things have to each other? 
Ontology is less concerned with what is than with what is possible

Reasoner

A semantic reasoner, reasoning engine, rules engine, or simply a reasoner, is a piece of software able to infer logical consequences 
from a set of asserted facts or axioms. 
The notion of a semantic reasoner generalizes that of an inference engine, by providing a richer set of mechanisms to work with. 
The inference rules are commonly specified by means of an ontology language, and often a description language. 
Many reasoners use first-order predicate logic to perform reasoning; inference commonly proceeds by forward chaining and backward chaining. 
There are also examples of probabilistic reasoners, including Pei Wang's non-axiomatic reasoning system[citation needed], and Novamente's probabilistic logic network[
Pellet is an OWL 2 reasoner. Pellet provides standard and cutting-edge reasoning services for OWL ontologies.


Sensors