Nelson K. Y. Leung

An integration-oriented ontology development methodology to reuse existing ontologies in an ontology development process

Ontology is defined as an explicit specification of a conceptualization and can be used to provide a shared understanding of a domain which is necessary to overcome differences in terminology from various sources. To build high quality ontologies, developers are required to choose and follow a suitable methodology containing a series of steps, activities and guidelines organized in a systematic way. In this paper, we develop guidelines on how to select ontology merging or integration which has not been explored in any ontology research. As it is more cost effective to build an ontology reusing existing ontologies (integration and merging) than from scratch, we therefore propose an ontology development methodology, MIOD, which incorporates and performs ontology integration in its development process. A semi-automatic key term evaluation system is developed to find suitable source ontologies from a group of candidate ontologies. The proposed methodology and system are used to address the insufficiency of current ontology development and integration methodologies.

Ontology-based collaborative inter-organizational knowledge management network

Knowledge is recognized as one of the most important and valuable management assets because knowledge enables organizations to utilize and develop resources, enhance their competitiveness and develop sustainable competitive advantage. A number of knowledge management approaches have been developed with the purpose of managing organizational knowledge.

An ontology-based collaborative inter-organisational knowledge management network (CIK-NET)

Knowledge is recognized as one of the most important and valuable management assets because knowledge enables organizations to utilize and develop resources, enhance their competitiveness and develop sustainable competitive advantage. A number of knowledge management approaches have been developed with the purpose of managing organizational knowledge.

An Exploratory Study of Expectation in IT Skills in a Developing Nation: Vietnam

The purpose of this study is to explore expectations in information technology skills for organizations in Vietnam, a developing country in South East Asia. Previous research in Vietnam has mainly focused on information technology adoption; this study offers an insight into the demands of information technology skills in Vietnam. A theoretical framework consisting of five domains of expertise is used to examine the nature and structure of information technology profession in Vietnam. Results from the study show that there is an anticipated increase in demand for information technology professionals who possess deep skills in a broad scope of roles and experience both in information technology and other business domains. Technical skills in the technology infrastructure and services domain in combination with strong communication and problem solving qualities are highly valued by Vietnamese employers.

A new methodology to streamline ontology integration processes

To reuse ontologies of different types, ontology mediation is required to reconcile mismatches between heterogeneous ontologies. Ontology integration is one of the major kind of ontology mediations in which an ontology is selected to integrate either directly into an ontology development process if no other suitable ontology is available or into an ontology development process with other chosen ontology(ies). The integration methodology developed by Pinto and Martins has two major limitations in its design: 1) the methodology only focuses on how to find, select and integrate existing ontologies but fails to recognize integration itself is part of an ontology development process, and 2) the methodology also fails to be supported by any form of semi- or automatic tools especially in finding suitable knowledge modules from a group of candidate ontologies. To address the above limitations, this research proposes a new ontology integration methodology that provides a detailed description on how to incorporate and perform integration including elicitation of key terms, identification of source ontologies and their knowledge modules, and application of ontology integration. This research also proposes a semiautomatic tool called Integration-oriented Candidate Ontology Evaluation System (ICOES) that can be used to find suitable source ontologies from a group of candidate ontologies using as a single or a combination of matching techniques as well as concept distribution counter. Based on the matching results generated by the ICOES, the most appropriate candidate ontologies can be selected as source ontologies.

An ontology development methodology to integrate existing ontologies in an ontology development process

Ontology is defined as an explicit specification of a conceptualization while a conceptualization is an abstract, simplified view of the world that we wish to represent for some purpose. To build high quality ontologies, developers are required to choose and follow a suitable ontology development methodology in which containing a series of steps, activities and guidelines that are put together in an organized and systematic manner. Literatures show that building ontologies by reusing existing ontologies is more cost effective than building from scratch. However, majority of the methodologies only provide a very limited discussion about how to perform integration or ontology reused in their ontology development processes. This paper aims to develop a set of guidelines for the selection of ontology reuse methods which has not been explored in any ontology research. In addition, an ontology development methodology that incorporates ontology reuse methods and a system that can assist to perform integration semi-automatically is proposed. An application scenario has been developed to illustrate how the proposed development methodology can be adopted to create an ontology.

To provide guidelines for designing new mediation tools and identifying matching technique: a classification framework approach

Ontology matching can be defined as the process of discovering similarities between two ontologies and it can be processed exploiting a number of different techniques. To provide a common conceptual basis, researchers have started to develop classifications to distinguish them. The most significant one is the classification proposed by Shvaiko and Euzenat to compare different existing ontology mediation systems as well as to design a new one. As the classification contains some improper identifications and vague categories, we therefore propose a design and input-specific classification framework of ontology matching techniques to address the above problems based on the findings of the literature survey. The framework provides not only a clear guideline on designing new mediation tool but also an effective method to identify the type of the matching technique and its related executive approach simply by comparing input of mediation system with the input layer in the proposed framework.

An Ontology-Based Collaborative Interorganizational Knowledge Management Network (Cik-Net)

Knowledge is recognized as one of the most important and valuable management assets because knowledge enables organizations to utilize and develop resources, enhance their competitiveness and develop sustainable competitive advantage. A number of knowledge management approaches have been developed with the purpose of managing organizational knowledge.

Improving the learning experience of tertiary students in a lecture hall: the implementation of a knowledge management methodology in an offshore campus of an Australian university

Knowledge application and creation may halt if students fail to understand the knowledge delivered by an academic. One way to directly deal with this problem is by asking appropriate questions during lectures but most of the teaching and learning environment settings discourage students from asking questions. A KM methodology is proposed to allow students to interact with lecturers in and outside a lecture hall. The proposed methodology was applied to an e-commerce course conducted in the offshore campus of the Australian university. Although the participation rate was far from satisfactory, there are significant improvement in academic performance and student satisfaction.

Reuse existing ontologies in an ontology development process - an integration-oriented ontology development methodology

Ontologies are the building block of the Semantic Web and a diverse range of ontologies of different domains have been constructed and shared by the ontology community. In this regard it is not impractical to reuse existing ontologies that are available publicly instead of constructing ontology from scratch each time. This paper proposes and develops guidelines on how to select ontology merging and integration in an ontology development process. The paper aims to address the gap in literature where little information and guidance are available in determining how to reuse ontology through the process of ontology merging and integration. In addition the paper also proposes a semi-automatic way of performing ontology integration. An application scenario has been presented to illustrate how the proposed methodology is applied.