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Reseach Article

Building Conhict-Aware Profiling Ontology from Data Warehouses

by Eya Ben Ahmed, Ahlem Nabli, Faiez Gargouri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 11
Year of Publication: 2012
Authors: Eya Ben Ahmed, Ahlem Nabli, Faiez Gargouri
10.5120/7392-0277

Eya Ben Ahmed, Ahlem Nabli, Faiez Gargouri . Building Conhict-Aware Profiling Ontology from Data Warehouses. International Journal of Computer Applications. 48, 11 ( June 2012), 18-24. DOI=10.5120/7392-0277

@article{ 10.5120/7392-0277,
author = { Eya Ben Ahmed, Ahlem Nabli, Faiez Gargouri },
title = { Building Conhict-Aware Profiling Ontology from Data Warehouses },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 11 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 18-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number11/7392-0277/ },
doi = { 10.5120/7392-0277 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:49.041528+05:30
%A Eya Ben Ahmed
%A Ahlem Nabli
%A Faiez Gargouri
%T Building Conhict-Aware Profiling Ontology from Data Warehouses
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 11
%P 18-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

User profiles or user models are crucial in many areas in which it is essential to obtain knowledge about users of software applications such as data warehouse technologies. To enhance the personalized services, group profiles are derived through combining individual user profiles in order to represent group modelling. In this paper, we propose a new representation of group profiles in OLAP context using the ontological modelling. Our main aim is to semantically enrich the representation of group preferences in data warehouses. Our ontology is validated using set of real collected OLAP query logs in stock market area.

References
  1. Ardissono, L. , Goy, A. , Petrone, G. , Segnan, M. , Torasso, P. : Ubiquitous User Assistance in a Tourist Information Server. International Conference on Adaptive Hypermedia and Adaptive Web Based Systems. LNCS, Springer, Heidelberg, 14-23 (2002)
  2. Bellatreche, L. , Giacometti, A. , Marcel, P. , Mouloudi, H. , Laurent, D. : A personalization framework for OLAP queries. Proceedings of the 8th ACM international workshop on Data warehousing and OLAP, Bremen, Germany, 9-18 (2005)
  3. Ben Ahmed, E. , Nabli, A. , Gargouri, F. : Building MultiView Analyst Pro?le From Multidimensional Query Logs: From Consensual to Con?icting Preferences. The International Journal of Computer Science Issues (IJCSI), January 2012, Volume 9, Number 1 (2012) 124-131
  4. Ben Ahmed, E. , Nabli, A. , Gargouri, F. : Performing Groupization in Data Warehouses: Which Discriminating Criterion to Select?. Proceedings of the 17th International conference on Applications of Natural Language Processing to Databases (NLDB'12), June 2012, Springer-Verlag (2012) 234-240
  5. Ben Ahmed, E. , Nabli, A. , Gargouri, F. : SHACUN : Semi-Supervised Hierarchical Active Clustering Based on Ranking Constraints, Proceedings of the 12th Industrial Conference on Data Mining (ICDM'12), July 2012, Springer-Verlag (2012) 194-208
  6. Golfarelli, M. , Rizzi, S. , Biondi, P. : myOLAP: An approach to express and evaluate OLAP preferences. IEEE Transactions on Knowledge and Data Engineering ( 2011) 1050-1064
  7. Jerbi, H. , Ravat, F. , Teste, O. , Zur?uh, G. : Management of context-aware preferences in multidimensional databases, IEEE International Conference on Digital Information Management , London, UK, pp. 669-675 (2008)
  8. Gruber, T. R. : Toward Principles for the Design of Ontologies. Used for Knowledge Sharing. Stanford Knowledge Systems Laboratory (1993)
  9. Guarino N. , Giaretta P. : Ontologies and knowledge bases, towards a terminological clari?cation. Towards very large knowledge bases: knowledge building and knowledge sharing, IOS Presse, 25-32 (1995)
  10. Knublauch, H, :Editing Semantic Web Content with Protégé the OWL Plugin. 6 the Protg workshop. Manchester, United Kingdom (2003)
  11. Nabli,A. , Feki, J. , Gargouri, F. : An Ontology Based Method for Normalisation of Multidimensional Terminology, Second International Conference on Signal-Image Technology and Internet-Based Systems, (SITIS'2006), LNCS, 235-246 (2006)
  12. Romero, O. and Abello, A. : Automating multidimensional design from ontologies. Proceedings of the ACM international workshop on Data warehousing and OLAP, 1-8 (2007)
  13. Spyns, P. , Meersman, R. , Jarrar, M. : Data modelling versus ontology engineering. SIGMOD Record, 31(4), 12-17 ( 2002)
  14. Stuckenschmidt, H. , Parent, C. , Spaccapietra, S. : Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization, Lecture Notes in Computer Science Vol. 5445 Springer 2009
  15. Sugumaran, V. , Storey, V. C. , The role of domain ontologies in database design: An ontology management and conceptual modeling environment. ACM Transactions on Database Systems, 31(3), 10641094 (2006)
  16. Yu, Z. , Zhou, X. , Hao, Y. , Gu, J. : TV Program Recommendation for Multiple Viewers Based on user Pro?le Merging. User Modeling and User-Adapted Interaction 16(1), 63- 82 (2006).
Index Terms

Computer Science
Information Sciences

Keywords

Profiling Groupization Preferences Data Warehouse Profiling Ontology Modular Ontology