Knowledge Base Represented by Semantic Web Language

Semantic Web languages OWL and RDF for Knowledge representation of Alarm-Warning System.

Reference to:

Valentyn N Sichkar. Semantic Web languages OWL and RDF for knowledge representation // GitHub platform. DOI: 10.5281/zenodo.1317900

Related works:

• Sichkar V.N. Comparison analysis of knowledge based systems for navigation of mobile robot and collision avoidance with obstacles in unknown environment. St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2018, Vol. 11, No. 2, Pp. 64–73. DOI: 10.18721/JCSTCS.11206 (Full-text available also here ResearchGate.net/profile/Valentyn_Sichkar)

• The research results for Neural Network Knowledge Based system for the tasks of collision avoidance is put in separate repository and is available here: Matlab implementation of Neural Networks

• The study of Neural Networks for Computer Vision in autonomous vehicles and robotics is put in separate repository and is available here: Neural Networks for Computer Vision

Description

The Semantic Web languages OWL and RDF enable knowledge representation by means of a Knowledge Base, i.e., a knowledge repository - not just a database. Knowledge Base consists of two parts: ontology and individuals, i.e., instances of classes in the ontology. Developed Alarm-Warning KB shows the statements of the System according to the values of sensors in given time. Types of used notations: N3, json, latex, owl, owl Manchester, owl functional, rdf, turtle.

Content

Codes (it’ll send you to appropriate file on GitHub):

• N3_notation
• triples
• json
• latex
• owl
• owl_Manchester
• owl_functional
• rdf
• turtle

Experimental results (figures on this page):

• Concept map for organizing and representing knowledge
• Graphical representation of knowledge from .owl file with EasyRDF Converter

Concept map for organizing and representing knowledge

Words on the line, referred to as linking words or linking phrases, specify the relationship between the two concepts.

Graphical representation of knowledge from .owl file with EasyRDF Converter

Recommendation: download image and zoom it in, in order to see all details.

MIT License

Copyright (c) 2018 Valentyn N Sichkar

github.com/sichkar-valentyn

Reference to:

Valentyn N Sichkar. Semantic Web languages OWL and RDF for knowledge representation // GitHub platform. DOI: 10.5281/zenodo.1317900