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Authors: Andrea Romei and Franco Turini

Affiliation: University of Pisa, Italy

ISBN: 978-989-674-021-4

Keyword(s): Data mining, Knowledge discovery, Inductive databases, XML, XQuery, Query language.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Knowledge Representation and Reasoning ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

Abstract: The rapid growth of semi-structured sources raises the need of designing and implementing environments for knowledge discovery out of XML data. This paper presents an Inductive Database System in which raw data, mining models and domain knowledge are represented as XML documents, stored inside XML native databases. In particular, we discuss our experiences in the design and development of XQuake, a mining query language that extends XQuery. Features of the language are an intuitive syntax, a good expressiveness and the capability of dealing uniformly with raw data, induced and background knowledge. The language is presented by means of examples and a sketch of its implementations and the evaluation of its performance is given.

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Paper citation in several formats:
Romei A.; Turini F. and (2010). XQUAKE - An XQuery-like Language for Mining XML Data.In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 20-27. DOI: 10.5220/0002703400200027

@conference{icaart10,
author={Andrea Romei and Franco Turini},
title={XQUAKE - An XQuery-like Language for Mining XML Data},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={20-27},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002703400200027},
isbn={978-989-674-021-4},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - XQUAKE - An XQuery-like Language for Mining XML Data
SN - 978-989-674-021-4
AU - Romei, A.
AU - Turini, F.
PY - 2010
SP - 20
EP - 27
DO - 10.5220/0002703400200027

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