Syndication on the Web Using a Description Logic Approach

2008 ◽  
Author(s):  
Christian Halaschek-Wiener ◽  
Vladimir Kolovski
Keyword(s):  
Description Logic ◽  
Logic Approach ◽  
The Web

scholarly journals Web-Based Learning Under Tacit Mining of Various Data Sources

2021 ◽  
Vol 16 (16) ◽  
pp. 153
Author(s):  
Abdelouahab Belazoui ◽  
Abdelmoutia Telli ◽  
Chafik Arar
Keyword(s):  
Description Logic ◽  
Intelligent Tutoring System ◽  
Open Educational Resources ◽  
Data Sources ◽  
Systems Architecture ◽  
Tutoring Systems ◽  
Additional Information ◽  
Ontology Language ◽  
Logic Approach ◽  
The Web

Nowadays, many platforms provide open educational resources to learners. So, they must browse and explore several suggested contents to better assimilate their courses. To facilitate the selecting task of these resources, the present paper proposes an intelligent tutoring system that can access teaching contents available on the web automatically and offers them to learners as additional information sources. In doing so, the authors highlight the description logic approach and its knowledge representation strength that underwrites the modulization, inference, and querying about a web ontology language, and enhanced traditional tutoring systems architecture using ontologies and description logic to enable them to access various data sources on the web. Finally, this article concludes that the combination of machine learning with the semantic web has provided a supportive study environment and enhanced the schooling conditions within open and distance learning.

Syndication on the Web using a description logic approach

2008 ◽  
Vol 6 (3) ◽  
pp. 171-190 ◽  
Author(s):  
Christian Halaschek-Wiener ◽  
Vladimir Kolovski
Keyword(s):  
Description Logic ◽  
Logic Approach ◽  
The Web

scholarly journals Overview and Utilization of the NCI Thesaurus

2004 ◽  
Vol 5 (8) ◽  
pp. 648-654 ◽  
Author(s):  
Gilberto Fragoso ◽  
Sherri de Coronado ◽  
Margaret Haber ◽  
Frank Hartel ◽  
Larry Wright
Keyword(s):  
National Cancer Institute ◽  
Description Logic ◽  
Biological Processes ◽  
Gene Products ◽  
Collaborative Effort ◽  
Web Ontology Language ◽  
Ontology Language ◽  
File Formats ◽  
History Of ◽  
The Web

The NCI Thesaurus is a reference terminology covering areas of basic and clinical science, built with the goal of facilitating translational research in cancer. It contains nearly 110 000 terms in approximately 36000 concepts, partitioned in 20 subdomains, which include diseases, drugs, anatomy, genes, gene products, techniques, and biological processes, among others, all with a cancer-centric focus in content, and originally designed to support coding activities across the National Cancer Institute. Each concept represents a unit of meaning and contains a number of annotations, such as synonyms and preferred name, as well as annotations such as textual definitions and optional references to external authorities. In addition, concepts are modelled with description logic (DL) and defined by their relationships to other concepts; there are currently approximately 90 types of named relations declared in the terminology. The NCI Thesaurus is produced by the Enterprise Vocabulary Services project, a collaborative effort between the NCI Center for Bioinformatics and the NCI Office of Communications, and is part of the caCORE infrastructure stack (http://ncicb.nci.nih.gov/NCICB/core). It can be accessed programmatically through the open caBIO API and browsed via the web (http://nciterms.nci.nih.gov). A history of editing changes is also accessible through the API. In addition, the Thesaurus is available for download in various file formats, including OWL, the web ontology language, to facilitate its utilization by others.

Rule-Based OWL Ontology Reasoning Systems

2010 ◽  
pp. 124-148 ◽  
Author(s):  
Georgios Meditskos ◽  
Nick Bassiliades
Keyword(s):  
Semantic Web ◽  
Description Logic ◽  
Formal Semantics ◽  
Web Ontology Language ◽  
Rule Engine ◽  
Basic Principles ◽  
Rule Based ◽  
Ontology Language ◽  
Open Nature ◽  
The Web

This chapter is focused on the basic principles behind the utilization of rules in order to perform reasoning about the Web Ontology Language (OWL), a Description Logic-based language that is the W3C recommendation for creating and sharing ontologies in the Semantic Web. More precisely, we elaborate on the entailment-based OWL reasoning (EBOR) paradigm, which is based on the utilization of RDF/ RDFS and OWL entailment rules that run on a rule engine, applying the formal semantics of the ontology language. To this end, seven EBOR systems are described and compared, analyzing the different approaches. Despite the closed rule environment, which comes in contrast with the open nature of the Semantic Web, and the fact that OWL semantics are partially mapped into rules, the rule-based OWL reasoning paradigm can give great potentials in the Semantic Web, enabling the utilization of rule engines on top of ontology information.

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