Knowledge representation and processing methods in Semantic Web

TL;DR

This paper reviews knowledge representation and processing techniques in the Semantic Web, demonstrating their practical application through a Java-based ontology-driven system for traffic danger information management.

Contribution

It provides an overview of KR theories and methods, and presents a novel integrated system combining database and ontology approaches for traffic danger domain.

Findings

Developed a Java-based ontology-driven application.

Designed a domain model for traffic danger concepts.

Integrated database and ontology approaches successfully.

Abstract

The goal is to take a closer look at progress of knowledge engineering in the field of Semantic Web. Along with theory of Knowledge Representation (KR) and knowledge processing methods such as Description Logic (DL), reasoning mechanisms and ontology modelling languages (OWL, RDF, RDFS), the thesis shows the practical usage of the mentioned approaches in building systems driven by ontologies. A working prototype of ontology-driven application, written in Java, has been developed within the scope of this thesis. The system main assumption is an attempt to integrate database and ontology approach, for storing and inferring desired information about domain of traffic dangers. For the needs of the system, domain model of traffic danger concept has been also designed.