Supporting Multiple Perspectives on 3D Museum Artefacts through Interoperable Annotations

  • Jane Hunter
  • Chih-hao Yu
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 333)

Abstract

Increasing numbers of museums and cultural institutions are using 3D laser scanning techniques to preserve cultural artefacts as 3D digital models, that are then accessible to curators, scholars and the general public via Web interfaces to online galleries. Museums are finding the cost of providing metadata for such collections prohibitive and are keen to explore how they might exploit Web 2.0 social tagging and annotation services to capture community knowledge and enrich the contextual metadata associated with their collections. Although there exist some annotation services for 3D objects, they are designed for specific disciplines, not Web-based or depend on proprietary software and formats. The majority also only support the attachment of annotations to whole objects – not points, 3D surface regions or 3D segments. This paper describes the 3DSA (3D Semantic Annotation) system developed at the University of Queensland that enables users to attach annotations to 3D digital artefacts. The 3DSA system is based on a common interoperable annotation model (the Open Annotations Collaboration (OAC) model) and uses ontology-based tags to support further semantic annotation and reasoning. This common approach enables annotations to be re-used, migrated and shared – across annotation clients and across different 3D and 2.5D digital representations of the one cultural artifact. Such interoperability is essential if cultural institutions are to easily harness knowledge from a broad range of users, including curators, students and remote Indigenous communities, with different client capabilities.

Keywords

3D annotations tags semantics interoperability ontologies 

References

  1. 1.
    Hunter, J., Schroeter, R., Koopman, B., Henderson, M.: Using the semantic grid to build bridges between museums and indigenous communities. In: Proceedings of the GGF11-Semantic Grid Applications Workshop, June 10, pp. 46–61 (2004)Google Scholar
  2. 2.
    3D digital preservation of cultural heritages, ikeuchi Lab: University of Tokyo, http://www.cvl.iis.u-tokyo.ac.jp/gallery_e/
  3. 3.
    Rowe, J., Razdan, A.: A prototype digital library for 3D collections: Tools to capture, model, analyze, and query complex 3D data. In: Bearman, D., Trant, J. (eds.) Museums and the Web 2003, Archives & Museum Informatics, Toronto, pp. 147–158 (2003)Google Scholar
  4. 4.
    Isler, V., Wilson, B., Bajcsy, R.: Building a 3D Virtual Museum of Native American Baskets. In: Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3dpvt 2006), 3DPVT, June 14-16, pp. 954–961. IEEE Computer Society, Washington (2006)CrossRefGoogle Scholar
  5. 5.
    Chun, S., Cherry, R., Hiwiller, D., Trant, J., Wyman, B.: Steve.museum: An Ongoing Experiment in Social Tagging, Folksonomy, and Museums. In: Museums and the Web 2006 (2006)Google Scholar
  6. 6.
    CIDOC Conceptual Reference Model, ICOM, http://cidoc.ics.forth.gr/
  7. 7.
    Jung, T., Do, E.Y., Gross, M.D.: Immersive Redlining and Annotation of 3D Design Models on the Web. In: 8th International Conference on Computer Aided. Architectural Design Futures, Kluwer, Dordrecht (1999)Google Scholar
  8. 8.
    Jung, T., Gross, M.D., Do, E.Y.: Annotating and sketching on 3D web models. In: Proceedings of the 7th International Conference on Intelligent User Interfaces, IUI 2002, San Francisco, California, USA, January 13-16. ACM, New York (2002)Google Scholar
  9. 9.
    Addis, et al.: New Ways to Search, Navigate and Use Multimedia Museum Collections over the Web. In: Trant, J., Bearman, D. (eds.) Proceedings of Museums and the Web 2005, March 31, Archives & Museum Informatics, Toronto (2005)Google Scholar
  10. 10.
    Princeton 3D model search engine. Princeton Shape Retrieval and Analysis Group, http://shape.cs.princeton.edu/search.html
  11. 11.
    Goldfeder, C., Allen, P.: Autotagging to Improve Text Search for 3D Models. In: IEEE Joint Conference on Digital Libraries (JCDL), Pittsburgh (July 2008)Google Scholar
  12. 12.
    Ji, Z., Liu, L., Chen, Z., Wang, G.: Easy mesh cutting. Computer Graphics Forum 25(3), 283–292 (2006)CrossRefGoogle Scholar
  13. 13.
    Schroeter, R., Hunter, J., Guerin, J., Khan, I., Henderson, M.: A Synchronous Multimedia Annotation System for Secure Collaboratories. In: e-Science 2006, Amsterdam, Netherlands, December 4-6 (2006)Google Scholar
  14. 14.
    Hollink, L., Little, S., Hunter, J.: Evaluating The Application of Semantic Inferencing Rules to Image Annotation. In: Third International Conference on Knowledge Capture, KCAP 2005, Banff, Canada, October 2-5 (2005)Google Scholar
  15. 15.
    Hunter, J., Little, S.: A Framework to enable the Semantic Inferencing and Querying of Multimedia Content. International Journal of Web Engineering and Technology (IJWET) Special Issue on the Semantic Web 2(2/3) (2005)Google Scholar
  16. 16.
    Little, S., Hunter, J.: Rules-By-Example - A Novel Approach to Semantic Indexing and Querying of Images. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 534–548. Springer, Heidelberg (2004)Google Scholar
  17. 17.
    Papakipos, M.: Introducing O3D (April 20, 2009), http://o3d.blogspot.com/2009/04/toward-open-web-standard-for-3d.html
  18. 18.
    Google O3D official website FAQ, http://code.google.com/p/o3d/wiki/FAQs
  19. 19.
    Danno/ Dannotate Overview, http://metadata.net/sites/danno/index.html
  20. 20.
    jQuery Official Website, http://jquery.com/
  21. 21.
    Vector Math for 3D Computer Graphics, Fourth Revision (July 2009), http://chortle.ccsu.edu/VectorLessons/vectorIndex.html
  22. 22.
    Attene, M., Robbiano, F., Spagnuolo, M., Falcidieno, B.: Semantic Annotation of 3D Surface Meshes based on Feature Characterization, Genova, CNR, ItalyGoogle Scholar
  23. 23.
    Adobe Acrobat 3D Annotation Tutorial, July 27 (2005), http://www.adobe.com/devnet/acrobat/pdfs/3DAnnotations.pdf
  24. 24.
    Koci, R.: Computer Graphics Unveiled – World, View and Projection Matrix Unveilded, http://robertokoci.com/world-view-and-projection-matrix-unveiled/
  25. 25.
    Laurila, P.: Geometry Culling un 3D Englines, September 10 (2000), http://www.gamedev.net/reference/articles/article1212.asp
  26. 26.
    Hunter, J., Henderson, M., Khan, I.: Collaborative Annotation of 3D Crystallographic Models. J. Chem. Inf. Model. 47(6) (2007), http://pubs.acs.org/cgi-bin/article.cgi/jcisd8/2007/47/i06/pdf/ci700173y.pdf
  27. 27.
    Kadobayashi, R., et al.: 3D Model Annotation from Multiple Viewpoints for Croquet. In: Proceedings of the Fourth International Conference on Creating, Connecting and Collaborating through Computing, C5 2006 (2006)Google Scholar
  28. 28.
    Shamir, A.: A survey on mesh segmentation techniques. Computer Graphics Forum (2008)Google Scholar
  29. 29.
    De Floriani, L., Papaleo, L., Carissimi, N.: A Java3D framework for inspecting and segmenting 3D models. In: Proceedings of the 13th International Symposium on 3D Web Technology, Web3D 2008, Los Angeles, California, August 9-10, pp. 67–74. ACM, New York (2008), http://doi.acm.org/10.1145/1394209.1394225 CrossRefGoogle Scholar
  30. 30.
    Attene, M., Robbiano, F., Spagnuolo, M., Falcidieno, B.: Part-based Annotation of Virtual 3D Shapes. In: Proceedings of Cyberworlds 2007, Spec. Sess. on NASAGEM Workshop, pp. 427–436. IEEE Computer Society Press, Los Alamitos (2007)Google Scholar
  31. 31.
    Funkhouser, T., et al.: Modeling by example. ACM Transactions on Graphics 23(3), 652–663 (2004)CrossRefGoogle Scholar
  32. 32.
    The Open Annotation Collaboration Alpha Data Model, http://www.openannotation.org/documents/OAC-Model_UseCases-alpha.pdf
  33. 33.

Copyright information

© IFIP 2010

Authors and Affiliations

  • Jane Hunter
    • 1
  • Chih-hao Yu
    • 1
  1. 1.School of ITEEThe University of QueenslandQueenslandAustralia

Personalised recommendations