Abstract
The automated processing of 3D models of cultural artifacts can be significantly improved with formally defined high-level structured descriptors. Despite the large number of multimedia ontologies, however, the semantic enrichment of 3D models still has open issues. Many 3D ontologies are semi-structured only, cover a very narrow knowledge domain, do not provide comprehensive coverage for geometric primitives, or do not exploit the full expressivity of the implementation language. This paper presents the first attempt to transform the entire XML Schema-based vocabulary of the latest version of the X3D ISO standard (ISO/IEC 19775, 19776, and 19777) to OWL 2, complemented by fundamental concepts and roles of the 3D modeling industry not covered by X3D. The result of this effort is the most comprehensive formally grounded 3D multimedia ontology to date with standard alignment, which can be used for the representation, annotation, and efficient indexing and retrieval of 3D models.
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Notes
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This is abbreviated by the 3d: prefix for the concepts, roles, and individuals of the ontology.
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The VRML-based X3D datatypes starting with SF correspond to one allowed value of the declared type, while MF indicates that multiple values are allowed for the corresponding property, whether they are floating point numbers, integers, string literals, or URIs.
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Unless semi-structured annotations are mixed with structured annotations, as seen in the literature.
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References
Kim, H., Kang, Y., Cha, M., Han, S.: Cluster rendering on large high-resolution multi-displays using X3DOM and HTML. Multimed. Syst. (2015). doi:10.1007/s00530-015-0495-0
Callet, P.: 3D reconstruction from 3D cultural heritage models. In: Ioannides, M., Quak, E. (eds.) 3D Research Challenges in Cultural Heritage. LNCS, vol. 8355, pp. 135–142. Springer, Heidelberg (2014). doi:10.1007/978-3-662-44630-0_10
Sfikas, K., Pratikakis, I., Koutsoudis, A., Savelonas, M., Theoharis, T.: Partial matching of 3D cultural heritage objects using panoramic views. Multimed. Tools Appl. 75(7), 3693–3707 (2016). doi:10.1007/s11042-014-2069-0
Mallik, A., Chaudhury, S.: Acquisition of multimedia ontology: an application in preservation of cultural heritage. Int. J. Multimed. Inf. Retr. 1(4), 249–262 (2012). doi:10.1007/s13735-012-0021-5
Yu, C.-H., Groza, T., Hunter, J.: Reasoning on crowd-sourced semantic annotations to facilitate cataloguing of 3D artefacts in the cultural heritage domain. In: Alani, H. (ed.) ISWC 2013. LNCS, vol. 8219, pp. 228–243. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41338-4_15
Wang, X., Lv, T., Wang, S., Wang, Z.: An ontology and SWRL based 3D model retrieval system. In: Li, H., Liu, T., Ma, W.-Y., Sakai, T., Wong, K.-F., Zhou, G. (eds.) AIRS 2008. LNCS, vol. 4993, pp. 335–344. Springer, Heidelberg (2008). doi:10.1007/978-3-540-68636-1_32
Gruber, E., Smith, T.J.: Linked Open Greek Pottery. In: 42nd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, pp. 205–214. Oxuniprint, Oxford (2014)
Flotyński, J., Walczak, K.: Conceptual knowledge-based modeling of interactive 3D content. Vis. Comput. 31(10), 1287–1306 (2015). doi:10.1007/s00371-014-1011-9
Decourselle, J., Vennesland, A., Aalberg, T., Duchateau, F., Lumineau, N.: A novel vision for navigation and enrichment in cultural heritage collections. In: Morzy, T., Valduriez, P., Bellatreche, L. (eds.) ADBIS 2015. CCIS, vol. 539, pp. 488–497. Springer, Heidelberg (2015). doi:10.1007/978-3-319-23201-0_49
Behr, J., Eschler, P., Jung, Y., Zöllner, M.: X3DOM – a DOM-based HTML5/X3D integration model. In: 14th International Conference on 3D Web Technology, pp. 127–135. ACM Press, New York (2009). doi:10.1145/1559764.1559784
Brutzman, D., Blais, C., Harney, J.: X3D fundamentals. In: Geroimenko, V., Chen, C. (eds.) Visualizing Information Using SVG and X3D. Springer, London (2005). doi:10.1007/1-84628-084-2_3
Kalogerakis, E., Christodoulakis, S., Moumoutzis, N. Coupling ontologies with graphics content for knowledge-driven visualization. In: IEEE Virtual Reality Conference, pp. 43–50. IEEE, New York (2006). doi:10.1109/VR.2006.41
Petit, M., Boccon-Gibod, H., Mouton, C.: Evaluating the X3D schema with semantic web tools. In: 17th International Conference on 3D Web Technology, pp. 131–138. ACM Press, New York. doi:10.1145/2338714.2338737
Yu, D., Hunter, J.: X3D fragment identifiers—extending the open annotation model to support semantic annotation of 3D cultural heritage objects over the Web. Int. J. Herit. Dig. Era 3, 579–596 (2014). doi:10.1260/2047-4970.3.3.579
Best practice recipes for publishing RDF vocabularies. http://www.w3.org/TR/swbp-vocab-pub/. Accessed 25 July 2016
Simperl, E.: Reusing ontologies on the Semantic Web: a feasibility study. Data Knowl. Eng. 68(10), 905–925 (2009). doi:10.1016/j.datak.2009.02.002
Sikos, L.F.: A novel approach to multimedia ontology engineering for automated reasoning over audiovisual LOD datasets. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, T.-P. (eds.) ACIIDS 2016. LNCS (LNAI), vol. 9621, pp. 3–12. Springer, Heidelberg (2016). doi:10.1007/978-3-662-49381-6_1
Gruber, T.R.: Towards principles for the design of ontologies used for knowledge sharing. In: Guarino, N., Poli, R. (eds.) Formal ontology in conceptual analysis and knowledge representation. Kluwer Academic Publishers, Deventer (1993)
Koenderink, N.J.J.P., Top, J.L., van Vliet, L.J.: Supporting knowledge-intensive inspection tasks with application ontologies. Int. J. Hum Comput Stud. 64(10), 974–983 (2006). doi:10.1016/j.ijhcs.2006.05.004
Vasilakis, G., Garcia-Rojas, A., Papaleo, L., Catalano, C.E., Spagnuolo, M., Robbiano, F., Vavalis, M., Pitikakis, M.: A common ontology for multi-dimensional shapes. In: 1st International Workshop on Multimedia Annotation and Retrieval Enabled by Shared Ontologies, pp. 31–43 (2007)
Walczak, K., Flotyński, J.: On-demand generation of 3D content based on semantic meta-scenes. In: De Paolis, L.T., Mongelli, A. (eds.) AVR 2014. LNCS, vol. 8853, pp. 313–332. Springer, Heidelberg (2014). doi:10.1007/978-3-319-13969-2_24
Orgel, T., Höffernig, M., Bailer, W., Russegger, S.: A metadata model and mapping approach for facilitating access to heterogeneous cultural heritage assets. Int. J. Digit. Libr. 15(2), 189–207 (2015). doi:10.1007/s00799-015-0138-2
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Sikos, L.F. (2016). Rich Semantics for Interactive 3D Models of Cultural Artifacts. In: Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-319-49157-8_14
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