Authors:
Marcela Vegetti
1
;
Horacio Leone
1
and
Gabriela P. Henning
2
Affiliations:
1
Instituto de Desarrollo y Diseño(INGAR), Argentina
;
2
Universidad Nacional del Litoral, CONICET, Argentina
Keyword(s):
Product Model, Ontology, BOM.
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Data Engineering
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
Industrial Applications of Artificial Intelligence
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
;
Symbolic Systems
Abstract:
Product models should integrate and efficiently manage all the information associated with products in the context of industrial enterprises or supply chains (SCs). Nowadays, it is quite common for an organization and even, each area within a company, to have its own product model. This situation leads to information duplication and its associated problems. In addition, traditional product models do not properly handle the high number of variants managed in today competitive markets. Therefore, there is a need for an integrated product model to be shared by the organizations participating in global SCs or all areas within a company. One way to reach an intelligent integration among product models is by means of an ontology. PRONTO (PRoduct ONTOlogy) is an ontology for the Product Modelling domain, able to efficiently handle product variants. This contribution presents a ConceptBase formalization of PRONTO, as well as an extension of it that allows the inference of product structural
knowledge and the specification of valid products.
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