Contributo in atti di convegno, 2005, ENG, 10.1007/11575863_111

Ontology-based searching framework for digital shapes

R. Albertoni; L. Papaleo; M. Pitikakis; F. Robbiano; M. Spagnuolo; G. Vasilakis

(1,4,5) IMATI CNR, Genoa 16149, Italy (2) Univ Genoa, Dept Informat & Comp Sci, I-16100 Genoa, Italy (3,6) Informat & Telemat Inst, Ctr Res & Technol Hellas, Thermi 57001, Greece

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.

ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2005 (OTM 2005), pp. 896–905, Cyprus, October 31 - November 4, 2005

Keywords

CNR authors

Albertoni Riccardo, Robbiano Francesco, Spagnuolo Michela

CNR institutes

IMATI – Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes"

ID: 182337

Year: 2005

Type: Contributo in atti di convegno

Creation: 2012-04-26 20:46:26.000

Last update: 2012-05-29 11:20:25.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

DOI: 10.1007/11575863_111

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:182337

DOI: 10.1007/11575863_111

ISI Web of Science (WOS): 000233744700112

Scopus: 2-s2.0-33646674334