Automatic generation of 2D surface topography specifications based on wed ontology language

An ontology-based automatic two-dimensional surface topography specification (TSTS) generation method was proposed to solve the problem of different designers’ different TSTS generation results and semantic interoperability during the process. According to the existing category model representing two-dimensional (2D) surface topography knowledge and the EXPRESS-language model representing Computer Aided Design (CAD) system extraction information, a knowledge representation model is constructed consisting of part surface layer, extraction information layer, TSTS information layer, and part information mapping layer. The part surface layer, extraction information layer, and 2D surface morphology feature information layer are constructed as meta-ontology using Web Ontology Language to reuse or inherit 2D surface morphology knowledge in specific fields. The part information mapping layer is represented by Semantic Web Rule Language (SWRL). Then, the meta-ontology and knowledge based on the SWRL representation are mapped to Java expert systems shell (JESS) facts and JESS rules, and the JESS inference machine is used to generate the TSTS.

Authors

Institutions

Publication Details

Published
2024-12-19
DOI
https://doi.org/10.1117/12.3056134
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatic generation of 2D surface topography specifications based on wed ontology language

Xiu Liang, Yanhong Wei, Zeyu You, Rongjiang Tang et al.
Manufacturing Process and Optimization
article

Automatic generation of 2D surface topography specifications based on wed ontology language

Xiu Liang, Yanhong Wei, Zeyu You, Rongjiang Tang, Jian Li
article en

Abstract

An ontology-based automatic two-dimensional surface topography specification (TSTS) generation method was proposed to solve the problem of different designers’ different TSTS generation results and semantic interoperability during the process. According to the existing category model representing two-dimensional (2D) surface topography knowledge and the EXPRESS-language model representing Computer Aided Design (CAD) system extraction information, a knowledge representation model is constructed consisting of part surface layer, extraction information layer, TSTS information layer, and part information mapping layer. The part surface layer, extraction information layer, and 2D surface morphology feature information layer are constructed as meta-ontology using Web Ontology Language to reuse or inherit 2D surface morphology knowledge in specific fields. The part information mapping layer is represented by Semantic Web Rule Language (SWRL). Then, the meta-ontology and knowledge based on the SWRL representation are mapped to Java expert systems shell (JESS) facts and JESS rules, and the JESS inference machine is used to generate the TSTS.

Guilin University of Electronic Technology (CN)
Climate action
Openalex Percentile: Top 66%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automatic generation of 2D surface topography specifications based on wed ontology language — Xiu Liang, Yanhong Wei, et al. · (2024) | TGRS Research Map | TGRS