loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Haifa Elsidani Elariss ; Souheil Khaddaj and Darrel Greenhill

Affiliation: Kingston University London, United Kingdom

Keyword(s): Query Optimization, Query Melting, Proximity Analysis, Dynamic Complex Queries, Large-scale GIS Servers, Visual Query Languages and Mobile GIS.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; e-Business ; Enterprise Information Systems ; Geographical Information Systems ; Human-Computer Interaction ; Middleware Integration ; Middleware Platforms ; Mobile Databases ; Technology Platforms

Abstract: Recently, non-expert mobile-user applications have been developed to query Geographic Information Systems (GIS) particularly Location Based Services where users ask questions related to their position whether they are moving (dynamic) or not (static). A new Iconic Visual Query Language (IVQL) has been developed to handle proximity analysis queries that find k-nearest-neighbours and objects within a buffer area. Each operator in IVQL queries corresponds to an execution plan to be evaluated by the GIS server. Since commonalities exist between the execution plans, the same operations are executed many times leading to slow results. Hence, the need arises to develop a multi-user dynamic complex query optimizer that handles commonalities and processes the queries faster especially with the large-scale of mobile-users. We present a new query processor, a generic optimization framework for GIS and a middleware, which employs the new Query Melting paradigm (QM) that is based on the sharing p aradigm and push-down optimization strategy. QM is implemented through a new Melting-Ruler strategy that works at the low-level, melts repetitions in plans to share spatial areas, temporal intervals, objects, intermediate results, maps, user locations, and functions, then re-orders them to get time-cost effective results, and is illustrated using a sample tourist GIS system. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.95.36

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Elsidani Elariss, H.; Khaddaj, S. and Greenhill, D. (2009). QUERY MELTING - A New Paradigm for GIS Multiple Query Optimization. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-8111-84-5; ISSN 2184-4992, SciTePress, pages 82-90. DOI: 10.5220/0001960700820090

@conference{iceis09,
author={Haifa {Elsidani Elariss}. and Souheil Khaddaj. and Darrel Greenhill.},
title={QUERY MELTING - A New Paradigm for GIS Multiple Query Optimization},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2009},
pages={82-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001960700820090},
isbn={978-989-8111-84-5},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - QUERY MELTING - A New Paradigm for GIS Multiple Query Optimization
SN - 978-989-8111-84-5
IS - 2184-4992
AU - Elsidani Elariss, H.
AU - Khaddaj, S.
AU - Greenhill, D.
PY - 2009
SP - 82
EP - 90
DO - 10.5220/0001960700820090
PB - SciTePress