A novel ontology for 3D semantics: Ontology-based 3D model indexing and content-based video retrieval applied to the medical domain

被引：0

作者：

Sikos L.F. ^{[1
]}

机构：

[1] Centre for Knowledge and Interaction Technologies, School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide

来源：

International Journal of Metadata, Semantics and Ontologies | 2017年 / 12卷 / 01期

关键词：

3D model semantics; Content-based medical video retrieval; Feature-based 3D model retrieval; Medical 3D printing; Medically accurate 3D models; MPEG-7; Multimedia ontology; X3D;

D O I：

10.1504/IJMSO.2017.087702

中图分类号：

学科分类号：

摘要：

Because of the growing popularity of 3D modelling, there is a great demand for efficient mechanisms to automatically process 3D contents. Owing to the lack of semantics, however, most 3D scenes cannot be interpreted by software agents. 3D ontologies can provide formal definitions for 3D objects; however, many of them are semi-structured only, cover a narrow knowledge domain, do not provide comprehensive coverage for geometric primitives, and do not exploit the full expressivity of the implementation language. This paper presents the most comprehensive formally grounded 3D ontology to date that maps the entire XSD-based vocabulary of the industry standard X3D (ISO/IEC 19775-19777) to OWL 2, complemented by fundamental concepts and roles of the 3D modelling industry not covered by X3D. This upper ontology can be used for the representation, annotation, and efficient indexing of 3D models, and their retrieval by 3D characteristics rather than by associated category labels. Copyright © 2017 Inderscience Enterprises Ltd.

引用

页码：59 / 69

页数：10

共 40 条

[1]

Berrueta D., Phipps J., Best Practice Recipes for Publishing RDF Vocabularies, (2008)

[2]

Boccon-Gibod H., A story of an initiative to extend the X3D CAD profile adding BREP solid representation, 16th International Conference on 3D Web Technology, (2011)

[3]

Callet P., 3D reconstruction from 3D cultural heritage models, 3D Research Challenges in Cultural Heritage, pp. 135-142, (2014)

[4]

Du K., Shi Y., Lei B., Chen J., Sun M., A method of human action recognition based on spatio-temporal interest points and PLSA, 2016 International Conference on Industrial Informatics, (2016)

[5]

Flotynski J., Walczak K., Conceptual knowledgebased modeling of interactive 3D content, The Visual Computer, 31, 10, pp. 1287-1306, (2015)

[6]

Gao B., Zheng H., Zhang S., An overview of semantics processing in content-based 3D model retrieval, 2009 International Conference on Artificial Intelligence and Computational Intelligence, pp. 54-59, (2009)

[7]

Gruber T.R., Towards principles for the design of ontologies used for knowledge sharing, Formal Ontology in Conceptual Analysis and Knowledge Representation, (1993)

[8]

Gutierrez M., Garcia-Rojas A., Thalmann D., Vexo F., Moccozet L., Magnenat-Thalmann N., Mortara M., Spagnuolo M., An ontology of virtual humans: Incorporating semantics into human shapes, The Visual Computer, 23, 3, pp. 207-218, (2007)

[9]

Hayes P., RDFS entailment rules, RDF Semantics, (2004)

[10]

Horrocks I., Kutz O., Sattler U., The even more irresistible SKOLQ, Tenth International Conference on Principles of Knowledge Representation and Reasoning, pp. 57-67, (2006)

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