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sichkar-valentyn authored Jul 20, 2018
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# Knowledge Base Represented by Semantic Web Language
Semantic Web languages OWL and RDF for Knowledge representation of Alarm-Warning System.
<br/>![DOI](https://zenodo.org/badge/116941006.svg)

### Reference to:
[1] Valentyn N Sichkar. Semantic Web languages OWL and RDF for knowledge representation // GitHub platform [Electronic resource]. URL: https://github.com/sichkar-valentyn/Knowledge_Base_Represented_by_Semantic_Web_Language (date of access: XX.XX.XXXX)
Valentyn N Sichkar. Semantic Web languages OWL and RDF for knowledge representation // GitHub platform. DOI: 10.5281/zenodo.1317901

## 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. Created Alarm-Warning System 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._
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* The history of temperature readings all over the world for the past 100 years is data. If this data is organized and analyzed to find that global temperature is rising, then that is information.
* The number of visitors to a website by country is an example of data. Finding out that traffic from the U.S. is increasing while that from Australia is decreasing is meaningful information.

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## MIT License
## Copyright (c) 2017 Valentyn N Sichkar
## github.com/sichkar-valentyn
### MIT License
### Copyright (c) 2017 Valentyn N Sichkar
### github.com/sichkar-valentyn
### Reference to:
[1] Valentyn N Sichkar. Semantic Web languages OWL and RDF for knowledge representation // GitHub platform [Electronic resource]. URL: https://github.com/sichkar-valentyn/Knowledge_Base_Represented_by_Semantic_Web_Language (date of access: XX.XX.XXXX)
Valentyn N Sichkar. Semantic Web languages OWL and RDF for knowledge representation // GitHub platform. DOI: 10.5281/zenodo.1317901

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