ENHANCING OWL ONTOLOGIES WITH RELATION SEMANTICS

The OWL Enhance prototype has been developed to augment ontologies implemented using the Web Ontology Language (OWL) with richer relation semantics. This prototype interactively elicits knowledge from providers to describe the intrinsic nature of relations and appends these elicited semantics to definitions of relations in OWL ontologies. Benefits from the explicit specification of the intrinsic nature of relations in ontologies include the development of quantitative techniques for the estimation of similarities among relations and attribute exploration techniques to create relation taxonomies. Examples of these techniques have been implemented in modules of the OWL Enhance prototype to demonstrate the utility of explicit relation semantics. Results from testing these modules on high-level and domain-specific ontologies are presented and analyzed with respect to the potential use of relation semantics to increase the fidelity of knowledge representation, as well as the potential for reuse and interoperability of knowledge on the Semantic Web.

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Rule-Based OWL Ontology Reasoning Systems

Handbook of Research on Emerging Rule-Based Languages and Technologies ◽

10.4018/978-1-60566-402-6.ch006 ◽

2010 ◽

pp. 124-148 ◽

Cited By ~ 4

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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Reverse Engineering OWL 2 Ontologies to UML Models

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.3133 ◽

2014 ◽

Vol 644-650 ◽

pp. 3133-3136

Author(s):

Wei Jun Li

Keyword(s):

Semantic Web ◽

Knowledge Representation ◽

Reverse Engineering ◽

Knowledge Engineering ◽

Unified Modeling Language ◽

Modeling Language ◽

Web Ontology Language ◽

Unified Modeling ◽

Ontology Language ◽

Uml Models

The OWL 2 Web Ontology Language is an ontology language for the Semantic Web with formally defined meaning and widely used in knowledge representation. The Unified Modeling Language (UML) can be applied for many of software, knowledge engineering and data modeling. For the sake of reusing the OWL 2 ontologies, we propose a reverse engineering approach of constructing UML models from OWL 2 ontologies. In this paper, we propose formalized definitions of OWL 2 ontologies and UML models, and then propose an approach of formally mapping OWL 2 ontologies to UML models.

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OWL-Based Description for Agent

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.217-218.1218 ◽

2011 ◽

Vol 217-218 ◽

pp. 1218-1223

Author(s):

Gang Wang ◽

Jie Lin ◽

Qing Qi Long ◽

Zhi Juan Hu

Keyword(s):

Semantic Web ◽

Early Development ◽

Formal Specification ◽

Ontology Development ◽

Web Ontology Language ◽

Development Stages ◽

Ontology Language ◽

Development Tools ◽

Web Community ◽

The Web

This paper presents a detailed formal specification of agents and their properties and abilities,based on the Web Ontology Language (OWL). It allows an agent to be specified entirely using standard mark-up languages from the Semantic Web community, namely RDF, RDF Schemaand OWL. The basic agent components are identified and their implementation using ontology development tools is described.The description improves consistency, interoperability and maintainability of agent program. Therefore,the design errors in the early development stages could be efficiently detected and avoided.

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An Ontology Based Representation of Software Design Patterns

Design Pattern Formalization Techniques ◽

10.4018/978-1-59904-219-0.ch012 ◽

2011 ◽

pp. 258-279 ◽

Cited By ~ 7

Author(s):

Jens Dietrich ◽

Chris Elgar

Keyword(s):

Software Engineering ◽

Semantic Web ◽

Design Patterns ◽

Web Ontology Language ◽

Semantic Web Technologies ◽

Web Technologies ◽

Ontology Language ◽

Software Design Patterns ◽

Formal Definitions ◽

The Web

This chapter introduces an approach to define Design patterns using semantic Web technologies. For this purpose, a vocabulary based on the Web ontology language OWL is developed. Design patterns can be defined as RDF documents instantiating this vocabulary, and can be published as resources on standard Web servers. This facilitates the use of patterns as knowledge artefacts shared by the software engineering community. The instantiation of patterns in programs is discussed, and the design of a tool is presented that can x-ray programs for pattern instances based on their formal definitions.

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Dynamic, Customized Workflow Using BDI Agent and Semantic Web Service

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.135-136.477 ◽

2011 ◽

Vol 135-136 ◽

pp. 477-483

Author(s):

Chih Hao Liu ◽

Jason Jen Yen Chen

Keyword(s):

Semantic Web ◽

Web Service ◽

Semantic Information ◽

Semantic Web Services ◽

Web Ontology Language ◽

Semantic Web Service ◽

Ontology Language ◽

Bdi Agent ◽

The World ◽

The Web

As the Web gradually evolves into the semantic web, the World Wide Web consortium (W3C) recommends that web ontology language (OWL) be used to encode semantic information content over the Web. Semantic web is an essential infrastructure to enhance Web to obtain better integration of information and intelligent use of web resources. Moreover, a web service is annotated by web ontology language for service (OWL-S) to form a semantic web service that, however, is a static description. The OWL-S based semantic web services thus are reactively invoked by users. How to dynamically coordinate, composite, or discover the services is an important issue.

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Repräsentation und Verknüpfung allgemeinsprachlicher und terminologischer Wortnetze in OWL

Zeitschrift für Sprachwissenschaft ◽

10.1515/zfs.2007.020 ◽

2007 ◽

Vol 26 (2) ◽

Cited By ~ 2

Author(s):

Claudia Kunze ◽

Lothar Lemnitzer ◽

Harald Lüngen ◽

Angelika Storrer

Keyword(s):

Web Ontology Language ◽

Domain Specific ◽

Ontology Language ◽

Princeton Wordnet ◽

Modelling Process ◽

The Web ◽

Modelling Approaches

AbstractThis paper describes an approach to modelling a general-language wordnet, GermaNet, and a domain-specific wordnet, TermNet, in the web ontology language OWL. While the modelling process for GermaNet adopts relevant recommendations with respect to the English Princeton WordNet, for TermNet an alternative modelling concept is developed that considers the special characteristics of domain-specific terminologies. We present a proposal for linking a general-language wordnet and a terminological wordnet within the framework of OWL and on this basis discuss problems and alternative modelling approaches.

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TRANSFORMING ONTOLOGY REPRESENTATION FROM OWL TO RELATIONAL DATABASE

Information Technology And Control ◽

10.5755/j01.itc.35.3.11779 ◽

2006 ◽

Vol 35 (3) ◽

Cited By ~ 3

Author(s):

Ernestas Vysniauskas ◽

Lina Nemuraite

Keyword(s):

Semantic Web ◽

Relational Database ◽

Systems Development ◽

Domain Ontology ◽

The Other ◽

Web Ontology Language ◽

Problem Domain ◽

Ontology Language ◽

Database Technology ◽

The Web

The current work has arisen with respect to the growing importance of ontology modelling in Informa-tion Systems development. Due to emerging technologies of Semantic Web, it is desirable to use for this purpose the Web Ontology Language OWL. From the other side, the relational database technology has ensured the best facilities for storing, updating and manipulating the information of problem domain. The algorithms for transformation of domain ontology, described in OWL, to relational database are proposed. The methodology is illustrated with an example.

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An Ontology Based Representation of Software Design Patterns

Software Applications ◽

10.4018/978-1-60566-060-8.ch036 ◽

2009 ◽

pp. 528-545 ◽

Cited By ~ 1

Author(s):

Jens Dietrich ◽

Chris Elgar

Keyword(s):

Software Engineering ◽

Semantic Web ◽

Design Patterns ◽

Web Ontology Language ◽

Semantic Web Technologies ◽

Web Technologies ◽

Ontology Language ◽

Software Design Patterns ◽

Formal Definitions ◽

The Web

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Representing SimModel in the Web Ontology Language

Computing in Civil and Building Engineering (2014) ◽

10.1061/9780784413616.282 ◽

2014 ◽

Cited By ~ 2

Author(s):

P. Pauwels ◽

E. Corry ◽

J. O'Donnell

Keyword(s):

Web Ontology Language ◽

Ontology Language ◽

The Web

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ONTOLOGY-BASED GENERATION OF MULTILINGUAL QUESTIONS FOR ASSESSMENT IN MEDICAL EDUCATION

Journal of Teaching English for Specific and Academic Purposes ◽

10.22190/jtesap2001001r ◽

2020 ◽

pp. 001

Author(s):

Maja Radović ◽

Nenad Petrović ◽

Milorad Tošić

Keyword(s):

Medical Education ◽

Knowledge Representation ◽

Teaching And Learning ◽

English Language ◽

Automatic Generation ◽

Assessment Process ◽

Innovative Teaching ◽

Domain Specific ◽

Level Of Automation ◽

High Level

The requirements of state-of-the-art curricula and teaching processes in medical education have brought both new and improved the existing assessment methods. Recently, several promising methods have emerged, among them the Comprehensive Integrative Puzzle (CIP), which shows great potential. However, the construction of such questions requires high efforts of a team of experts and is time-consuming. Furthermore, despite the fact that English language is accepted as an international language, for educational purposes there is also a need for representing data and knowledge in native language. In this paper, we present an approach for automatic generation of CIP assessment questions based on using ontologies for knowledge representation. In this way, it is possible to provide multilingual support in the teaching and learning process because the same ontological concept can be applied to corresponding language expressions in different languages. The proposed approach shows promising results indicated by dramatic speeding up of construction of CIP questions compared to manual methods. The presented results represent a strong indication that adoption of ontologies for knowledge representation may enable scalability in multilingual domain-specific education regardless of the language used. High level of automation in the assessment process proven on the CIP method in medical education as one of the most challenging domains, promises high potential for new innovative teaching methodologies in other educational domains as well.

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