A knowledge identification framework for the engineering of ontologies in system composition processes

Gillespie, Mitchell G.; Hlomani, Hlomani; Kotowski, Daniel; Stacey, Deborah

doi:10.1109/iri.2011.6009524

Cited by 5 publications

(10 citation statements)

References 7 publications

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“…There has also been work done developing frameworks for reuse such as that seen in (Gillespie et al, 2011). Here the authors developed a framework to design ontologies that can be reused across different types of ontology driven compositional systems.…”

Section: Designed For Reusementioning

confidence: 99%

Ontology Library - A New Approach for Storing, Searching and Discovering Ontologies

Kotowski

Stacey

2012

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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The backbone of semantic web technologies is the ontology. This is a powerful structure, which allows for the capture, reasoning and storing of expert knowledge across various domains. Ideally these structures should be developed and implemented by experts in a set domain as well as designed with re-usability in mind. However, often due to the lack of availability and difficulties of discovering ontologies, these structures are repeatedly recreated. Current methods for storing, discovering and sharing ontologies employ similar techniques as to those used for software source code or static web pages. These are exposed to the limitation inherent with keyword-based searches, such as ambiguity with the keywords themselves and therefore, the most relevant ontology may not be discovered. This paper will examine some of the existing techniques used for the storing and sharing of ontologies. It will offer a contrasting method analogous to software libraries to develop a standard to store, share, discover, and distribute common ontologies.

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Section: Designed For Reusementioning

confidence: 99%

Ontology Library - A New Approach for Storing, Searching and Discovering Ontologies

Kotowski

Stacey

2012

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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“…From the moment that ontologies have become a practical choice for representing knowledge within software, there has been great effort by researchers and the software community to formalize their creation and development process (Gillespie et al, 2011). From this rose the notion of knowledge engineering and the formalization of the knowledge meta-process.…”

Section: Ontology Engineeringmentioning

confidence: 99%

“…We recently presented a knowledge identification framework (Gillespie et al, 2011) in hopes of improving the engineering of ontologies for ODCSs. The framework could act as a complimentary guide during an engineering methodology.…”

Section: Knowledge Identification Frameworkmentioning

confidence: 99%

“…Since ontologies underlie ODCS and other semantic web based systems, there has been substantial research on the creation of unified ontologies. This is, however, proving to be a daunting task since each semantic web implementation often has its own modelling perspective (Gillespie et al, 2011;Burstein and Mcdermott, 2005). This difficulty then cascades to knowledge engineering processes such as knowledge identification, ontology capture and ontology evaluation.…”

Section: Introductionmentioning

confidence: 99%

“…This difficulty then cascades to knowledge engineering processes such as knowledge identification, ontology capture and ontology evaluation. To handle this shortcoming we proposed (in our previous work (Gillespie et al, 2011)) a generalized knowledge identification framework that could be used within ontology engineering methodologies to capture possible knowledge that could be represented in ontological models for ODCSs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

UTILIZING A COMPOSITIONAL SYSTEM KNOWLEDGE FRAMEWORK FOR ONTOLOGY EVALUATION - A Case Study on BioSTORM

Hlomani¹,

Gillespie

Kotowski

et al. 2011

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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With the advent of such platforms as Service Oriented Architecture (SOA) and the open source community came the possibility of accessing free software/services. These may be in the form of web services, coded algorithms, legacy systems, etc. Users are able to define workflows through the combination of these software components with the aide of systems known as Ontology Driven Compositional Systems (ODCS). These systems have ontologies as their fundamental components that provide the knowledge bases that provide the rich descriptions of the ODCS components. Since these ontologies underlie ODCS, greater efforts must be spent in the engineering of these artifacts. We have thus proposed a knowledge identification framework that can be used as a guide within ontology engineering methodologies to perform such tasks as ontology capture and evaluation. In this paper we demonstrate the usage of this framework in a case study to evaluate the ontologies defined in the BioSTORM project. We do this by using a checklist (founded on the knowledge identification framework) through which we can evaluate the adaptability of the context of an ontology.

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Designing Ontology-Driven System Composition Processes to Satisfy User Expectations: A Case Study for Fish Population Modelling

Gillespie

Stacey

Crawford

2013

Communications in Computer and Information Science

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A knowledge identification framework for the engineering of ontologies in system composition processes

Cited by 5 publications

References 7 publications

Ontology Library - A New Approach for Storing, Searching and Discovering Ontologies

Ontology Library - A New Approach for Storing, Searching and Discovering Ontologies

UTILIZING A COMPOSITIONAL SYSTEM KNOWLEDGE FRAMEWORK FOR ONTOLOGY EVALUATION - A Case Study on BioSTORM

Designing Ontology-Driven System Composition Processes to Satisfy User Expectations: A Case Study for Fish Population Modelling

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