Ontology Techniques for Representing the Problem of Discourse: Design of Solution Application Perspective

Ontology has been applied in various problem domains such as health, agriculture, public administration and business management, to develop solution models for effective knowledge modelling. The models help define structures of knowledge components and their relationship among them within a problem domain that may provide better representation of a system design architecture. Such basic model of knowledge components can provide a transparent approach for enhancing design thinking and comprehension for both users and system developers. This makes the ontology technique as one of the prominent techniques for designing system solution in a context-sensitive manner. In this paper, we describe the use of ontology in two design cases for representing the problem universe of discourse. First design case is on a record management system and second case is on a decision support system. For both system design cases, the ontology technique provided benefits for gaining semantic integration and interoperability in designing the solutions. Findings from our studies suggest that ontology enables provisions both to end users and to system developers for achieving design goals that in turn maximize various user benefits.

[1]  Yuh-Jen Chen,et al.  Development of a method for ontology-based empirical knowledge representation and reasoning , 2010, Decis. Support Syst..

[2]  Asunción Gómez-Pérez,et al.  Building a chemical ontology using Methontology and the Ontology Design Environment , 1999, IEEE Intell. Syst..

[3]  Brooke Abrahams,et al.  Tourism information systems integration and utilization within the semantic web , 2006 .

[4]  Asunción Gómez-Pérez,et al.  METHONTOLOGY: From Ontological Art Towards Ontological Engineering , 1997, AAAI 1997.

[5]  Shah Jahan Miah A new semantic knowledge sharing approach for e-government systems , 2010 .

[6]  Sang M. Lee,et al.  Adoption of the Semantic Web for overcoming technical limitations of knowledge management systems , 2009, Expert Syst. Appl..

[7]  Joan Lu,et al.  BUILDING AN ADVANCE DOMAIN ONTOLOGY MODEL OF INFORMATION SCIENCE (OIS) , 2014 .

[8]  Steffen Staab,et al.  Knowledge Processes and Ontologies , 2001, IEEE Intell. Syst..

[9]  Carola Eschenbach,et al.  Formal Ontology in Information Systems , 2008 .

[10]  Asunción Gómez-Pérez,et al.  Reference Ontology and (ONTO)2 Agent: The Ontology Yellow Pages , 2000, Knowledge and Information Systems.

[11]  Paul Arbon,et al.  The Development of Conceptual Models for Mass-Gathering Health , 2004, Prehospital and Disaster Medicine.

[12]  Mark A. Musen,et al.  The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility , 2000, EKAW.

[13]  J. Timothy Sprehe The positive benefits of electronic records management in the context of enterprise content management , 2005, Gov. Inf. Q..

[14]  Vincent Chapurlat,et al.  Verification, validation, qualification and certification of enterprise models: Statements and opportunities , 2008, Comput. Ind..

[15]  Arturo Molina,et al.  Enterprise integration and interoperability in manufacturing systems: Trends and issues , 2008, Comput. Ind..

[16]  Siegfried Handschuh,et al.  Semantic annotation for knowledge management: Requirements and a survey of the state of the art , 2006, J. Web Semant..

[17]  Shah Jahan Miah,et al.  A new semantic knowledge sharing approach for e-government systems , 2010, 4th IEEE International Conference on Digital Ecosystems and Technologies.

[18]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993 .

[19]  Zhongzhi Shi Logic Foundation of Artificial Intelligence , 2011 .

[20]  Adriana da Silva Jacinto,et al.  An ontology-based architecture for Intelligent Tutoring System , 2008 .

[21]  Shah Jahan Miah,et al.  A Design Environment Ontology for Stakeholder-developed Decision Support Tools in the Australian Dairy Industry , 2006 .

[22]  Paola Velardi,et al.  Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites , 2004, CL.

[23]  Bernard Kamsu-Foguem,et al.  Knowledge formalization in experience feedback processes: An ontology-based approach , 2008, Comput. Ind..

[24]  David W. Embley,et al.  An Integrated Ontology Development Environment for Data Extraction , 2003, ISTA.

[25]  David Carrington,et al.  Enhancing Software Maintenance by using Semantic Web Techniques , 2006 .

[26]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.