scholarly journals Perspective on the Design of a Knowledge-based System Embedding Linked Data for Process Planning

2016 ◽  
Vol 26 ◽  
pp. 267-276
Author(s):  
Gerald Rehage ◽  
Robert Joppen ◽  
Jürgen Gausemeier
Keyword(s):  
Process Planning ◽  
Linked Data ◽  
Knowledge Based System ◽  
Knowledge Based

scholarly journals Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0198270 ◽  
Author(s):  
Aravind Venkatesan ◽  
Gildas Tagny Ngompe ◽  
Nordine El Hassouni ◽  
Imene Chentli ◽  
Valentin Guignon ◽  
...  
Keyword(s):  
Linked Data ◽  
Integrative Biology ◽  
Knowledge Based System ◽  
Knowledge Based

scholarly journals Agronomic Linked Data (AgroLD): a Knowledge-based System to Enable Integrative Biology in Agronomy

2018 ◽  
Author(s):  
Aravind Venkatesan ◽  
Gildas Tagny ◽  
Nordine El Hassouni ◽  
Imene Chentli ◽  
Valentin Guignon ◽  
...  
Keyword(s):  
Semantic Web ◽  
Plant Disease Resistance ◽  
Linked Data ◽  
Explicit Knowledge ◽  
Heterogeneous Data ◽  
Plant Science ◽  
Research Approach ◽  
Knowledge Based System ◽  
Link Type ◽  
Knowledge Based

AbstractRecent advances in high-throughput technologies have resulted in a tremendous increase in the amount of omics data produced in plant science. This increase, in conjunction with the heterogeneity and variability of the data, presents a major challenge to adopt an integrative research approach. We are facing an urgent need to effectively integrate and assimilate complementary datasets to understand the biological system as a whole. The Semantic Web offers technologies for the integration of heterogeneous data and their transformation into explicit knowledge thanks to ontologies. We have developed the Agronomic Linked Data (AgroLD – www.agrold.org), a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, to integrate data about plant species of high interest for the plant science community e.g., rice, wheat, arabidopsis. We present some integration results of the project, which initially focused on genomics, proteomics and phenomics. AgroLD is now an RDF (Resource Description Format) knowledge base of 100M triples created by annotating and integrating more than 50 datasets coming from 10 data sources –such as Gramene.org and TropGeneDB– with 10 ontologies –such as the Gene Ontology and Plant Trait Ontology. Our evaluation results show users appreciate the multiple query modes which support different use cases. AgroLD’s objective is to offer a domain specific knowledge platform to solve complex biological and agronomical questions related to the implication of genes/proteins in, for instances, plant disease resistance or high yield traits. We expect the resolution of these questions to facilitate the formulation of new scientific hypotheses to be validated with a knowledge-oriented approach.

A Knowledge Based System for Process Planning of Axisymmetric Deep Drawn Parts

2013 ◽  
Vol 549 ◽  
pp. 239-246 ◽  
Author(s):  
Vishal Naranje ◽  
Shailendra Kumar
Keyword(s):  
Sheet Metal ◽  
Process Planning ◽  
Low Cost ◽  
Knowledge Based System ◽  
Sheet Metal Parts ◽  
Part Geometry ◽  
Knowledge Based ◽  
Sources Of Knowledge ◽  
Blank Size ◽  
Different Sources

This paper describes a knowledge based system (KBS) developed for process planning of axisymmetric deep drawn sheet metal parts. The proposed system is structured into three modules. For the development of proposed system technical knowledge is acquired from different sources of knowledge acquisition and it is represented by using IF-THEN rules. Rules are coded using AutoLISP language and user interface is created using Visual Basic 6. The proposed system automatically models the part geometry in the drawing editor of AutoCAD, calculates blank size, selects the necessary process parameters required for production of deep drawn parts and generates process sequence. The system is flexible because its knowledge base can be extended and modified as old manufacturing facilities are discarded or newer ones are acquired in a particular enterprise. The suitability of proposed system is demonstrated by taking an example of industrial deep drawn sheet metal part. As the system can be implemented on a PC having AutoCAD software and therefore its low cost of implementation makes it affordable for small and medium scale sheet metal industries.

A knowledge-based system for process planning based on a solid modeller

1989 ◽  
Vol 6 (1) ◽  
pp. 21 ◽  
Author(s):  
D. Willis ◽  
I.A. Donaldson ◽  
A.D. Ramage ◽  
J.L. Murray ◽  
M.H. Williams
Keyword(s):  
Process Planning ◽  
Knowledge Based System ◽  
Knowledge Based
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