Exploitation of a Semantic Platform to Store and Reuse PLM Knowledge

Abstract

Products generate a large amount of information during their lifecy-cles. Small and medium enterprises are often not structured enough to enable the efficient management of such amount of information. Several tools of prod-uct lifecycle management have been developed in the last years to address this issue, but they are rarely exploited by companies, especially SMEs. The aim of our work is to present a semantic platform to integrate data along the whole product lifecycle to allow semantic search and knowledge reuse. The integra-tion of data is realized with a reference PLM ontology, containing the main concepts and relations to describe a PLM. This ontology has a modular struc-ture, so that it can be easily extended to describe concrete product lifecycles. An example of a real application of the semantic platform in an industrial case is reported

Human-Robot Collaboration Using Industrial Robots

“…Ontologies plays a fundamental role in knowledge management because they formally specifies the key concepts, properties, relationships, and axioms of a given domain [7]. Furthermore, ontologies are a great tool for diminishing the ambiguity in knowledge transfer among groups of different agents: humans, robots and machines.…”

Investigating contextual ontologies and document corpus characteristics for information access in engineering settings

“…In product life-cycle management, PLM, data integrity can be realized through defining a modular extendable reference ontology and integrating data along the whole product life cycle to allow semantic search and knowledge reuse (Bruno, Antonelli, Korf, Lentes, & Zimmermann, 2014). In another studied industrial case, an ontology for knowledge management is developed to support designers in generating design concepts.…”

Efficient management of product lifecycle information through a semantic platform

“…The set of high level concepts needed to represent the PLC management knowledge of a company are the following (Bruno et al, 2014(Bruno et al, , 2015.…”

“…Further input we used during the development of the software solution and its underlying ontological data model were, among others, an ontology for engineering mathematics (Gruber and Olsen, 1994), work concerned with the area of design in the PLC (Bernard et al, 2014) and with the digital factory (Kádár et al, 2013;Efthymiou et al, 2015). The principal applicability of ontology-based approaches to PLM as in the platform amePLM has been shown by Lentes et al (2013) and Bruno et al (2014), but there still is a potential for improvement in automated information provision in PLM to reduce manual efforts for information management and retrieval.…”