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Towards an upper ontology and methodology for robotics and automation

Published: 05 September 2012 Publication History

Abstract

In this article, we present the ongoing efforts within the newly formed IEEE-RAS Working Group named Ontologies for Robotics and Automation. We focus in particular on one of the four subgroups that compose this working group, called the Upper Ontology/Methodology (UpOM) subgroup. As the name indicates, the aim of this subgroup is to develop an upper ontology and a methodology for ontology building and evaluation. This methodology will be used to coordinate the distributed development of domain specific ontologies by the other three subgroups, and to generate a global ontology that we hope will contribute to the standardization process of robotics and automation. This paper presents the composition, the envisioned methodology, and the future work of the UpOM subgroup. It also discusses some general aspects related to ontologies for the robotics and automation field, and to the efforts in standardizing them.

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cover image ACM Conferences
UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing
September 2012
1268 pages
ISBN:9781450312240
DOI:10.1145/2370216
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 September 2012

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Author Tags

  1. methodologies
  2. ontologies
  3. robotics

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Ubicomp '12
Ubicomp '12: The 2012 ACM Conference on Ubiquitous Computing
September 5 - 8, 2012
Pennsylvania, Pittsburgh

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UbiComp '12 Paper Acceptance Rate 58 of 301 submissions, 19%;
Overall Acceptance Rate 764 of 2,912 submissions, 26%

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