Name
Abstract | ||
|---|---|---|
CAx systems typically encode the semantics of shapes as so-called parametric features on different levels of abstraction. Here we discuss an approach that combines feature-based parametric modelling with techniques from the field of knowledge representation and ontological reasoning. Parametric models refer to feature ontologies that model feature semantics on several levels of granularity. On higher levels, the interrelation between features and feature interoperability is captured whereas on lower levels a feature is described in terms of geometric, topological and parametric entities. Different engineering tasks can utilise feature ontologies as a basis for application-specific shape reasoning across several modelling layers. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1504/IJCAT.2005.006481 | INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY |
Keywords | Field | DocType |
feature ontologies, shape ontologies, shape reasoning, shape semantics | Ontology (information science),Ontology,Knowledge representation and reasoning,Parametric model,Parametric statistics,Feature model,Natural language processing,Artificial intelligence,Granularity,Mathematics,Semantics | Journal |
Volume | Issue | ISSN |
23 | 2-4 | 0952-8091 |
Citations | PageRank | References |
11 | 0.78 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gino Brunetti | 1 | 23 | 3.63 |
| Stephan Grimm | 2 | 11 | 0.78 |