Abstract
Knowledge related to Shape Modelling is multi-faceted because of the complexity and heterogeneity of the involved resources and because different applications may cast different semantics on them. A fast evolution of the field is now conditioned by how research teams will be able to communicate and share resources and knowledge. The field needs to be formalized in order to achieve a shared conceptualization accessible by the whole scientific community and eventually to ensure an actual exploitation of its knowledge within the Semantic Web. In this context, the main objective of the Network of Excellence AIM@SHAPE is twofold: on the one hand to devise tools to capture the implicit semantics of digital shapes, and on the other hand to encode and formalize the domain knowledge into context-dependent ontologies. The paper describes the first results in the direction of developing an ontology for shape acquisition and reconstruction and its effective use in the Digital Shape Workbench, a searching framework for sharing resources (shapes, tools and publications) and their related knowledge.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
ECFP6 IST NoE 506766 AIM@SHAPE Network of Excellence, www.aimatshape.net
Hendler, J.: Science and the Semantic Web. Science 299(5606), 520–521 (2003)
The Stanford 3D Scanning Repository, http://graphics.stanford.edu/data/3Dscanrep/
Funkhouser, T., Min, P., Kazhdan, M., Chen, J., Halderman, A., Dobkin, D., Jakobs, D.: A Search Engine for 3D Models. ACM Transactions on Graphics 22, 83–105 (2003)
Daras, P., Zarpalas, D., Tzovaras, D., Strintzis, M.G.: Shape Matching Using the 3D Radon Transform. In: 3D Data Processing, Visualization & Transmission, Thessaloniki (2004)
Foote, J.: An overview of audio information retrieval. ACM Multimedia Systems 7, 2–10 (1999)
Castelli, V., Bergman, L.: Image Databases: Search and Retrieval of Digital Imagery. John Wiley & Sons, Chichester (2001)
Veltkamp, R.C., Burkhardt, H., Kriegel, H.P. (eds.): State-of-the-Art in Content-Based Image and Video Retrieval. Computational Imaging and Vision 22 (2001)
Falcidieno, B., Spagnuolo, M., Alliez, P., Quak, E., Vavalis, M.: Towards the Semantics of Digital Shapes: The AIM@SHAPE Approach. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, London, UK (2004)
SCHEMA NoE, http://www.schema-ist.org/SCHEMA
AceMedia Integrated Project, http://www.acemedia.org/aceMedia
Lassila, O., Swick, R.: Resource Description Framework (RDF) Model and Syntax Specification, W3C Candidate Recommendation (1999), http://www.w3.org/TR/REC-rdf-syntax
Brickley, D., Guha, R.V.: Resource Description Framework Schema (RDF/S) Specification 1.0, W3C Recommendation (2000), http://www.w3.org/TR/rdf-schema
McGuinness, D., van Harmelen, F. (eds.): OWL Web Ontology Language Overview (2003), http://www.w3.org/TR/owl-features/
Karvounarakis, G., Alexaki, S., Christophides, V., Plexousakis, D., Scholl, M.: RQL: a declarative query language for RDF. In: WWW, pp. 592–603 (2002)
Miller, L., Seaborne, A., Reggiori, A.: Three implementations of squishql, a simple RDF query language. In: International Semantic Web Conference, pp. 423–435 (2002)
Sintek, M., Decker, S.: TRIPLE-An RDF Query, Inference, and Transformation Language. In: Proc. of the Deductive Databases and Knowledge Management Workshop, Japan (2001)
Fikes, R., Hayes, P., Horrocks, I. (eds.): DAML Query Language, DQL (2003), http://www.daml.org/2003/04/dql/
Seaborne, A.: RDQL (2004), http://www.w3.org/Submission/2004/SUBM-RDQL-20040109/
Fikes, R., Hayes, P., Horrocks, I.: OWL Query Language (OWL-QL) Abstract Specification, DARPA Agent Markup Language, DAML (2003)
RACER, http://www.racer-systems.com
Haarslev, V., Möller, R., Wessel, M.: Querying the Semantic Web with Racer + nRQL. In: Proceedings of the Intern. Workshop on Applications of Description Logics, Germany (2004)
Gutierrez, M., Thalmann, D., Vexo, F., Moccozet, L., Magnenat-Thalmann, N., Mortara, M., Spagnuolo, M.: An Ontology of Virtual Humans: incorporating semantics into human shapes. In: Proceedings of workshop SVE 2005, Switzerland (2005)
Ucelli, G., Brunetti, G., De Amicis, R., Conti, G.: Shape Semantics and Content Management for Industrial Design and Virtual Styling. In: Proceedings of SVE 2005, Switzerland (2005)
Papaleo, L., Albertoni, R., Marini, S., Robbiano, F.: An ontology-based Approach to Acquisition and Reconstruction. In: Proceedings of workshop SVE 2005, Switzerland (2005)
Sure, Y., Staab, S., Studer, R.: On-To-Knowledge Methodology. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, series on Handbooks in Information Systems, pp. 117–132. Springer (2003)
DIG interface, http://dig.sourceforge.net/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Albertoni, R., Papaleo, L., Pitikakis, M., Robbiano, F., Spagnuolo, M., Vasilakis, G. (2005). Ontology-Based Searching Framework for Digital Shapes. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. OTM 2005. Lecture Notes in Computer Science, vol 3762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575863_111
Download citation
DOI: https://doi.org/10.1007/11575863_111
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29739-0
Online ISBN: 978-3-540-32132-3
eBook Packages: Computer ScienceComputer Science (R0)