ONTOLOGY BUILDING USING PARALLEL ENUMERATIVE STRUCTURES
Mouna Kamel, Bernard Rothenburger
2010
Abstract
The semantics of a text is carried by both the natural language it contains and its layout. As ontology building processes have so far taken only plain text into consideration, our aim is to elicit its textual structure. We focus here on parallel enumerative structures because they bear implicit or explicit hierarchical relations, they have salient visual properties, and they are frequently found in corpora. We have defined a process which identifies them in a text, translates them into ontological structures and finally links such structures to the concepts of an existing ontology. We have assessed this process on Wikipedia encyclopaedic articles as they are rich in definitions and statements, and contain many enumerations. The many ontological structures we have obtained are thus used to enrich an ontology which we had automatically built from database specification documents.
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Paper Citation
in Harvard Style
Kamel M. and Rothenburger B. (2010). ONTOLOGY BUILDING USING PARALLEL ENUMERATIVE STRUCTURES . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 276-281. DOI: 10.5220/0003097602760281
in Bibtex Style
@conference{keod10,
author={Mouna Kamel and Bernard Rothenburger},
title={ONTOLOGY BUILDING USING PARALLEL ENUMERATIVE STRUCTURES
},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={276-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003097602760281},
isbn={978-989-8425-29-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - ONTOLOGY BUILDING USING PARALLEL ENUMERATIVE STRUCTURES
SN - 978-989-8425-29-4
AU - Kamel M.
AU - Rothenburger B.
PY - 2010
SP - 276
EP - 281
DO - 10.5220/0003097602760281