An XML-based model for supporting context-aware query and cache management

Essam Mansour, Hagen Höpfner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Database systems (DBSs) can play an essential role in facilitating the query and cache management in context-aware mobile information systems (CAMIS). Two of the fundamental aspects of such management are update notifications and context-aware query processing. Unfortunately, DBSs does not provide a built-in update notification function and are not aware of the context of their usage. This paper presents an XML model called XReAl (XML-based Relational Algebra) that assists DBSs in extending their capabilities to support context-aware queries and cache management for mobile environments.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages107-119
Number of pages13
Volume5588 LNCS
DOIs
Publication statusPublished - 9 Nov 2009
Externally publishedYes
Event26th British National Conference on Databases, BNCOD 2009 - Birmingham, United Kingdom
Duration: 7 Jul 20099 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5588 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other26th British National Conference on Databases, BNCOD 2009
CountryUnited Kingdom
CityBirmingham
Period7/7/099/7/09

Fingerprint

Context-aware
Database Systems
XML
Cache
Query
Update
Relational Algebra
Query processing
Mobile Systems
Query Processing
Algebra
Information Systems
Information systems
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mansour, E., & Höpfner, H. (2009). An XML-based model for supporting context-aware query and cache management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5588 LNCS, pp. 107-119). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5588 LNCS). https://doi.org/10.1007/978-3-642-02843-4_12

An XML-based model for supporting context-aware query and cache management. / Mansour, Essam; Höpfner, Hagen.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5588 LNCS 2009. p. 107-119 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5588 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mansour, E & Höpfner, H 2009, An XML-based model for supporting context-aware query and cache management. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5588 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5588 LNCS, pp. 107-119, 26th British National Conference on Databases, BNCOD 2009, Birmingham, United Kingdom, 7/7/09. https://doi.org/10.1007/978-3-642-02843-4_12
Mansour E, Höpfner H. An XML-based model for supporting context-aware query and cache management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5588 LNCS. 2009. p. 107-119. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02843-4_12
Mansour, Essam ; Höpfner, Hagen. / An XML-based model for supporting context-aware query and cache management. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5588 LNCS 2009. pp. 107-119 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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