Toward a Neural Aggregated Search Model for Semi-structured Documents

F. Z. Bessai-Mechmache

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Paper

Toward a Neural Aggregated Search Model for Semi-structured Documents

Topics: Clustering and Classification Methods; Mining Text and Semi-Structured Data

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 0IC3K, 91-95, 2013 , Vilamoura, Algarve, Portugal

Author: F. Z. Bessai-Mechmache

Affiliation: Research Centre on Scientific and Technical Information and CERIST, Algeria

Keyword(s): Neural Networks, Self-organizing Maps, Aggregated Search, XML Information Retrieval, XML Document, Aggregate, Classification of XML Elements, Learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: One of the main issues in aggregated search for XML documents is to select the relevant elements for information need. Our objective is to gather in same aggregate relevant elements that can belong to different parts of XML document and that are semantically related. To do this, we propose a neural aggregated search model using Kohonen self-organizing maps. Kohonen self-organizing map lets classification of XML elements producing density map that form the foundations of our model.

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Paper citation in several formats:

Bessai-Mechmache, F. (2013). Toward a Neural Aggregated Search Model for Semi-structured Documents. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR; ISBN 978-989-8565-75-4; ISSN 2184-3228, SciTePress, pages 91-95. DOI: 10.5220/0004538400910095

@conference{kdir13,
author={F. Z. Bessai{-}Mechmache.},
title={Toward a Neural Aggregated Search Model for Semi-structured Documents},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR},
year={2013},
pages={91-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004538400910095},
isbn={978-989-8565-75-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR
TI - Toward a Neural Aggregated Search Model for Semi-structured Documents
SN - 978-989-8565-75-4
IS - 2184-3228
AU - Bessai-Mechmache, F.
PY - 2013
SP - 91
EP - 95
DO - 10.5220/0004538400910095
PB - SciTePress