The role of semantic technologies in future PLM

3Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The paper describes research efforts to address three core problems of the complete process of product creation from an IT perspective and especially focusing on Product Lifecycle Management (PLM). Today's major challenges are the support of globally distributed and multi-disciplinary teams, complexity, and enterprise knowledge management. Essential building block for new approaches to cope with these challenges is the use of semantic technologies for the supportive IT environments. There are different aspects to be considered, integration of social software and community development in the context of open innovation and crowd sourcing as well as context driven enrichment of data and adaptive application integration. The aim of this contribution is to give a comprehensive overview of the requirements resulting from today's challenges and to introduce an approach to future IT working environment for engineers in the sense of organic computing (OC). Furthermore, the paper shows how Semantic Web technologies can contribute to more individual and flexible engineering application integration and knowledge management.

Cite

CITATION STYLE

APA

Gerhard, D. (2013). The role of semantic technologies in future PLM. In Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives (Vol. 9783642344718, pp. 157–169). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-642-34471-8_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free