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Explicitly representing the semantics of composite positional tolerance for patterns of holes
- Source :
- The International Journal of Advanced Manufacturing Technology. 90:2121-2137
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- Representing the semantics of the interaction of two or more tolerances (i.e. composite tolerance) explicitly to make them computer-understandable is currently a challenging task in computer-aided tolerancing (CAT). We have proposed a description logic (DL) ontology based approach to complete this task recently. In this paper, the representation of the semantics of the composite positional tolerance (CPT) for patterns of holes (POHs) is used as an example to illustrate the proposed approach. This representation mainly includes: representing the structure knowledge of the CPT for POHs in DL terminological axioms; expressing the constraint knowledge with Horn rules; and describing the individual knowledge using DL assertional axioms. By implementing the representation with the web ontology language (OWL) and the semantic web rule language (SWRL), a CPT ontology is developed. This ontology has explicitly computer-understandable semantics due to the logic-based semantics of OWL and SWRL. As is illustrated by an engineering example, such semantics makes it possible to automatically check the consistency, reason out the new knowledge, and implement the semantic interoperability of CPT information. Benefiting from this, the ontology provides a semantic enrichment model for the CPT information extracted from CAD/CAM systems.
- Subjects :
- 0209 industrial biotechnology
Computer science
computer.internet_protocol
02 engineering and technology
Ontology (information science)
Semantics
computer.software_genre
Industrial and Manufacturing Engineering
OWL-S
020901 industrial engineering & automation
Description logic
0202 electrical engineering, electronic engineering, information engineering
Structure (mathematical logic)
business.industry
Semantic Web Rule Language
Mechanical Engineering
020207 software engineering
Semantic interoperability
Ontology language
Computer Science Applications
Control and Systems Engineering
Ontology
TJ
Artificial intelligence
business
computer
Software
Natural language processing
Subjects
Details
- ISSN :
- 14333015 and 02683768
- Volume :
- 90
- Database :
- OpenAIRE
- Journal :
- The International Journal of Advanced Manufacturing Technology
- Accession number :
- edsair.doi.dedup.....495266f800a2f19010476031cfacfb20
- Full Text :
- https://doi.org/10.1007/s00170-016-9457-8