Engineering XML Solutions Using Views

R. Rajugan; E. Chang; T.S. Dillon; L. Feng

doi:10.1109/CIT.2005.112

Engineering XML Solutions Using Views

R. Rajugan, E. Chang, T.S. Dillon, L. Feng

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

Abstract

In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the complexity for data engineering. Conversely, the introduction of OMG’s MDA presents an interesting paradigm for EIS and system modeling, where a system is designed at a higher level of abstraction. This presents an interesting problem to investigate data engineering XML solutions under the MDA initiatives, where, models and framework requires higher level of abstraction. In this paper we investigate a view model that can provide layered design methodology for modeling data intensive XML solutions for EIS paradigm, with sufficient level of abstraction.

Original language	Undefined
Title of host publication	Proceedings of the 5th International Conference on Computer and Information Technology (CIT'05)
Place of Publication	Los Alamitos
Publisher	IEEE Computer Society
Pages	116-123
Number of pages	8
ISBN (Print)	0-7695-2432-X
DOIs	https://doi.org/10.1109/CIT.2005.112
Publication status	Published - Sep 2005
Event	5th International Conference on Computer and Information Technology (CIT'05) - Shanghai, China Duration: 21 Sep 2005 → 23 Sep 2005

Conference

Conference	5th International Conference on Computer and Information Technology (CIT'05)
Period	21/09/05 → 23/09/05
Other	21-23 Sep 2005

Keywords

METIS-229544
EWI-7315
DB-XMLDB: XML DATABASES

Access to Document

10.1109/CIT.2005.112

http://doi.ieeecomputersociety.org/10.1109/CIT.2005.112

Cite this

@inproceedings{4a68bbdfbb1a405ea64f6c9171c4d698,

title = "Engineering XML Solutions Using Views",

abstract = "In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the complexity for data engineering. Conversely, the introduction of OMG{\textquoteright}s MDA presents an interesting paradigm for EIS and system modeling, where a system is designed at a higher level of abstraction. This presents an interesting problem to investigate data engineering XML solutions under the MDA initiatives, where, models and framework requires higher level of abstraction. In this paper we investigate a view model that can provide layered design methodology for modeling data intensive XML solutions for EIS paradigm, with sufficient level of abstraction.",

keywords = "METIS-229544, EWI-7315, DB-XMLDB: XML DATABASES",

author = "R. Rajugan and E. Chang and T.S. Dillon and L. Feng",

note = "Imported from EWI/DB PMS [db-utwente:inpr:0000003664]; null ; Conference date: 21-09-2005 Through 23-09-2005",

year = "2005",

month = sep,

doi = "10.1109/CIT.2005.112",

language = "Undefined",

isbn = "0-7695-2432-X",

pages = "116--123",

booktitle = "Proceedings of the 5th International Conference on Computer and Information Technology (CIT'05)",

publisher = "IEEE Computer Society",

address = "United States",

}

TY - GEN

T1 - Engineering XML Solutions Using Views

AU - Rajugan, R.

AU - Chang, E.

AU - Dillon, T.S.

AU - Feng, L.

N1 - Imported from EWI/DB PMS [db-utwente:inpr:0000003664]

PY - 2005/9

Y1 - 2005/9

N2 - In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the complexity for data engineering. Conversely, the introduction of OMG’s MDA presents an interesting paradigm for EIS and system modeling, where a system is designed at a higher level of abstraction. This presents an interesting problem to investigate data engineering XML solutions under the MDA initiatives, where, models and framework requires higher level of abstraction. In this paper we investigate a view model that can provide layered design methodology for modeling data intensive XML solutions for EIS paradigm, with sufficient level of abstraction.

AB - In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the complexity for data engineering. Conversely, the introduction of OMG’s MDA presents an interesting paradigm for EIS and system modeling, where a system is designed at a higher level of abstraction. This presents an interesting problem to investigate data engineering XML solutions under the MDA initiatives, where, models and framework requires higher level of abstraction. In this paper we investigate a view model that can provide layered design methodology for modeling data intensive XML solutions for EIS paradigm, with sufficient level of abstraction.

KW - METIS-229544

KW - EWI-7315

KW - DB-XMLDB: XML DATABASES

U2 - 10.1109/CIT.2005.112

DO - 10.1109/CIT.2005.112

M3 - Conference contribution

SN - 0-7695-2432-X

SP - 116

EP - 123

BT - Proceedings of the 5th International Conference on Computer and Information Technology (CIT'05)

PB - IEEE Computer Society

CY - Los Alamitos

Y2 - 21 September 2005 through 23 September 2005

ER -