To provide guidelines for designing new mediation tools and identifying matching technique

Leung, Nelson K. Y.; Lau, Sim Kim; Fan, Joshua; Kang, Seung Hwan; Tsang, Nicole

doi:10.1145/1806338.1806388

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…As illustrated in Figure 4, the proposed system takes a set of key terms for a particular category, a set of thesauruses or top-level ontologies plus all relevant candidate ontologies as input. The system is designed to compare key terms with every possible concept in each candidate ontology to check for identical representation using string-based and linguistic source matching techniques [10]. Other than identical representation of a key term and a concept, similarity is also counted if they have the same prefix or suffix.…”

Section: Figure 4 Proposed Key Term Evaluation Systemmentioning

confidence: 99%

“…Before the integration can take place, the team has to ensure any knowledge modules from the source ontologies are accurate, precise, simple, clear, concise, correct and complete [10]. To achieve, each knowledge module is required to measure its completeness and way of structuring concepts using the motivation scenarios and competency questions.…”

Section: Figure 4 Proposed Key Term Evaluation Systemmentioning

confidence: 99%

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

Leung

Lau

Fan

et al. 2011

Proceedings of the 13th International Conference on Information Integration and Web-Based Applications and Services

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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.

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Section: Figure 4 Proposed Key Term Evaluation Systemmentioning

confidence: 99%

Section: Figure 4 Proposed Key Term Evaluation Systemmentioning

confidence: 99%