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.
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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