DOMAIN SPECIFIC LANGUAGE IN TECHNICAL SOLUTION DOCUMENTS - Discussion of Two Approaches to Improve the Semi-automated Annotation

Helena X. Schmidt, Andreas Kohn, Udo Lindemann

2011

Abstract

The efficient search for existing solutions in mechanical engineering is a key-factor for successful product development. Ontology-based knowledge systems can support the semi-automated annotation of documents about existing solutions and enable the retrieval of those documents. However, the use of different wordings for similar products and a generally heterogeneous domain-specific language hinder the efficient annotation process. In this paper, two approaches to improve the semi-automatic annotation of documents by adding terms to the ontology are described. We evaluate the two approaches by analysing the industry sector-specific and company-specific languages used in documents in the field of mechanical engineering.

Paper Citation

in Harvard Style

Schmidt H., Kohn A. and Lindemann U. (2011). DOMAIN SPECIFIC LANGUAGE IN TECHNICAL SOLUTION DOCUMENTS - Discussion of Two Approaches to Improve the Semi-automated Annotation . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 159-166. DOI: 10.5220/0003630301590166

in Bibtex Style

@conference{keod11,
author={Helena X. Schmidt and Andreas Kohn and Udo Lindemann},
title={DOMAIN SPECIFIC LANGUAGE IN TECHNICAL SOLUTION DOCUMENTS - Discussion of Two Approaches to Improve the Semi-automated Annotation},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={159-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003630301590166},
isbn={978-989-8425-80-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - DOMAIN SPECIFIC LANGUAGE IN TECHNICAL SOLUTION DOCUMENTS - Discussion of Two Approaches to Improve the Semi-automated Annotation
SN - 978-989-8425-80-5
AU - Schmidt H.
AU - Kohn A.
AU - Lindemann U.
PY - 2011
SP - 159
EP - 166
DO - 10.5220/0003630301590166