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Authors: Jinghua Groppe and Sven Groppe

Affiliation: Digital Enterprise Research Institute (DERI), University of Innsbruck, Institute of Computer Science, Austria

Keyword(s): Queries, XML, XPath, satisfiability tester, query optimization.

Abstract: Empty results of queries are a hint for semantic errors in users’ queries, and erroneous and unoptimized queries can lead to highly inefficient processing of queries. For manual optimization, which is prone to errors, a user needs to be familiar with the schema of the queried data and with implementation details of the used query engine. Thus, automatic optimization techniques have been developed and have been used for decades in database management systems for the deductive and relational world. We focus on the satisfiability problem for the queries formulated in the XML query language XPath. We propose a schema-based approach to check whether or not an XPath query conforms to the constraints given in the schema in order to detect semantic errors, and in order to avoid unnecessary evaluations of unsatisfiable queries.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Groppe, J. and Groppe, S. (2006). FILTERING UNSATISFIABLE XPATH QUERIES. In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS; ISBN 978-972-8865-41-2; ISSN 2184-4992, SciTePress, pages 157-162. DOI: 10.5220/0002465001570162

@conference{iceis06,
author={Jinghua Groppe. and Sven Groppe.},
title={FILTERING UNSATISFIABLE XPATH QUERIES},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS},
year={2006},
pages={157-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002465001570162},
isbn={978-972-8865-41-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS
TI - FILTERING UNSATISFIABLE XPATH QUERIES
SN - 978-972-8865-41-2
IS - 2184-4992
AU - Groppe, J.
AU - Groppe, S.
PY - 2006
SP - 157
EP - 162
DO - 10.5220/0002465001570162
PB - SciTePress