Structuring Documents from Short Texts - The Enel SpA Case Study

Silvia Calegari; Matteo Dominoni

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Paper

Structuring Documents from Short Texts - The Enel SpA Case Study

Topics: Information Retrieval; Semi-Structured and Unstructured Data

In Proceedings of 4th International Conference on Data Management Technologies and Applications DATA - Volume 1, 63-68, 2015 , Colmar, Alsace, France

Authors: Silvia Calegari and Matteo Dominoni

Affiliation: University of Milano-Bicocca, Italy

Keyword(s): XML, Structured Document, Logical Structure.

Related Ontology Subjects/Areas/Topics: Applications ; Business Analytics ; Data Engineering ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Semi-Structured and Unstructured Data ; Software Engineering

Abstract: Nowadays, structured documents are marked-up using XML. XML is the W3C standard that allows to give a meaning about the stored content of a document by the definition of its logical structure. A logical structure can be exploited to have a focused access to structured documents. For instance, in XML Information Retrieval, the logical structure is aimed at retrieving the most relevant fragments within documents as answers to queries, instead of the whole document. The problem arises when it is not possible to automatically define the logical structure of a document by using the methodologies presented in the literature. This position paper takes into account this situation and provides a possible solution adopted in the Enel SpA energy company.

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Paper citation in several formats:

Calegari, S. and Dominoni, M. (2015). Structuring Documents from Short Texts - The Enel SpA Case Study. In Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA; ISBN 978-989-758-103-8; ISSN 2184-285X, SciTePress, pages 63-68. DOI: 10.5220/0005498800630068

@conference{data15,
author={Silvia Calegari. and Matteo Dominoni.},
title={Structuring Documents from Short Texts - The Enel SpA Case Study},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA},
year={2015},
pages={63-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005498800630068},
isbn={978-989-758-103-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA
TI - Structuring Documents from Short Texts - The Enel SpA Case Study
SN - 978-989-758-103-8
IS - 2184-285X
AU - Calegari, S.
AU - Dominoni, M.
PY - 2015
SP - 63
EP - 68
DO - 10.5220/0005498800630068
PB - SciTePress