Nitishal Chungoora

This paper proposes a particular method which utilises the unified modelling language (UML) as a design visualisation tool for modelling ontologies based on the Common Logic knowledge representation language. The use of this method will enable Common Logic ontological concepts to be more readily accessible to general engineers and provide a valuable ontology design aid. The method proposed is explored using the knowledge frame language (KFL) which provides constructs to facilitate ontology building and is built on Common Logic. The major constructs of KFL are briefly defined and a description of how each construct may be represented in UML is given. Examples are presented showing how the constructs may be modelled in UML and a Common Logic-based implementation founded on a UML design is illustrated and discussed. The manufacturing domain is utilised as an experimental basis for demonstrating the proposed method.

Production-centric international standards are intended to serve as an important route towards information sharing across manufacturing decision support systems. As a consequence of the textual-based definitions of the concepts acknowledged within these standards, their inability to fully interoperate becomes an issue, especially since a multitude of standards are required to cover the needs of extensive domains such as manufacturing industries. To help reinforce the current understanding to support the consolidation of production-centric standards for improved information sharing, this article explores the specification of well-defined core concepts that can be used as a basis for capturing tailored semantic definitions. The potentials of two heavyweight ontological approaches, notably Common Logic (CL) and the Web Ontology Language (OWL), as candidates for the task are also explored. An important finding regarding these two methods is that while an OWL-based approach shows capabilities towards applications that may require flexible hierarchies of concepts, a CL-based method represents a favoured contender for scoped and facts-driven manufacturing applications.

Problems related to knowledge sharing in design and manufacture, for supporting automated decision-making procedures, are associated with the inability to communicate the full meaning of concepts and their intent within and across system boundaries. To remedy these issues, it is important that the explicit structuring of semantics, i.e., meaning in computation form, is first performed and that these semantics become sharable across systems. This paper proposes an expressive (heavyweight) Common Logic-based ontological foundation as a basis for capturing the meaning of generic feature-oriented design and manufacture concepts. This ontological foundation serves as a semantic ground over which design and manufacture knowledge models can be configured in an integrity-driven way. The implications involved in the specification of the ontological foundation are discussed alongside the types of mechanisms that allow knowledge models to be configured. A test case scenario is then analysed in order to further support and verify the researched approach.

Ontology-based models of product design and manufacture are becoming increasingly important in the effort towards achieving interoperability among various stakeholders within and across product lifecycle systems. However, in the eventuality of having

The present capability that ontological approaches offer to formally represent and share manufacturing knowledge is dependent on the choice of ontological formalism. Currently, there exists a spectrum of these formalisms, which is being subjectively exploited across multiple domains in design and manufacture. Hence, there is an important prerequisite to achieve an understanding of which family of formalism strictly enables the expressive capture of semantics to progress towards meaningful information and viable knowledge sharing. This article analyses the relative strengths and weaknesses in employing a ‘lightweight’ ontology versus a ‘heavyweight’ version of the ontology to represent and share knowledge between multiple domains in injection moulding design and manufacture. A pertinent direction, from an ontology perspective, is then exposed as a prescription for the improved capture and dissemination of formal semantics, to support multi-domain knowledge sharing.