In this paper, a new method of modelling 3D content with domain-specific ontologies has been proposed. The
method is an element of the SEMIC approach, which goes beyond the current state of the art by enabling content
creation based on complex combinations of semantic concepts.
The proposed method can be used to facilitate creation of different types of content—semantic design of 3D content
by domain experts at different levels of abstraction and visual design of ontologies and knowledge bases. Moreover,
the approach can improve content management (indexing, searching and analysing of content) in content repositories.
Finally, the created content is platform- and standard- independent and it can be presented using diverse 3D content
presentation tools, as described in13.
Possible directions of future research incorporate several facets. First, the proposed method can be evaluated in
terms of the effectiveness of modelling 3D content using selected performance indexes, such as the size of CpRs and
CrRs, the size of RMs (which are required to enable semantic modelling) and the Halstead metrics. Second, a visual
semantic tool supporting the SEMIC approach can be developed. Finally, a specific rule description language can be
devised to facilitate description of complex content behaviour.
In this paper, a new method of modelling 3D content with domain-specific ontologies has been proposed. Themethod is an element of the SEMIC approach, which goes beyond the current state of the art by enabling contentcreation based on complex combinations of semantic concepts.The proposed method can be used to facilitate creation of different types of content—semantic design of 3D contentby domain experts at different levels of abstraction and visual design of ontologies and knowledge bases. Moreover,the approach can improve content management (indexing, searching and analysing of content) in content repositories.Finally, the created content is platform- and standard- independent and it can be presented using diverse 3D contentpresentation tools, as described in13.Possible directions of future research incorporate several facets. First, the proposed method can be evaluated interms of the effectiveness of modelling 3D content using selected performance indexes, such as the size of CpRs andCrRs, the size of RMs (which are required to enable semantic modelling) and the Halstead metrics. Second, a visualsemantic tool supporting the SEMIC approach can be developed. Finally, a specific rule description language can bedevised to facilitate description of complex content behaviour.
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