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Reseach Article

Article:A Framework for Personalized Information Integration in Higher Education Institutes

by Bahram Amini, Roliana Ibrahim, Mohd Shahizan Othman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 4
Year of Publication: 2011
Authors: Bahram Amini, Roliana Ibrahim, Mohd Shahizan Othman
10.5120/2879-3749

Bahram Amini, Roliana Ibrahim, Mohd Shahizan Othman . Article:A Framework for Personalized Information Integration in Higher Education Institutes. International Journal of Computer Applications. 23, 4 ( June 2011), 6-12. DOI=10.5120/2879-3749

@article{ 10.5120/2879-3749,
author = { Bahram Amini, Roliana Ibrahim, Mohd Shahizan Othman },
title = { Article:A Framework for Personalized Information Integration in Higher Education Institutes },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 4 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number4/2879-3749/ },
doi = { 10.5120/2879-3749 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:17.323973+05:30
%A Bahram Amini
%A Roliana Ibrahim
%A Mohd Shahizan Othman
%T Article:A Framework for Personalized Information Integration in Higher Education Institutes
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 4
%P 6-12
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Information integration plays an important role in academic settings since it provides a comprehensive view of educations and enables managers to analyze and evaluate the effectiveness of education processes. However, the diversity and huge amount of information available in different academic sources overwhelms the education administrators and debilitates decision makings. This paper proposes a service-oriented framework which augments recommendation approach with components of semantic-based information integration and provides interactive and contextual-based information integration for decision makers in Higher Education Institutes. The underlying semantic web technology facilitates on-demand integration of information from internal sources as well as the Web and provides web service discovery and invocation for effective information analysis. In addition, the framework enables the users to analyze instances of student’s information and to receive recommendation of new information sources as well as appropriate analytical services based on the students’ status. Service orientation paradigm provides dynamic and flexible means of communication for service interoperability among the framework components.

References
  1. Jingtao Z., Mingwei W., Han Z. 2006. Enterprise Information Integration: State of the Art and Technical Challenges. In International Federation for Information Processing (IFIP), Vol. 207, Knowledge Enterprise: Intelligent Strategies In Product Design, Manufacturing, and Management, eds. K. Wang, Kovacs G., Wozny M., Fang M., pp. 847-852, Springer Boston
  2. Vernadat F. B. 2010. Technical, semantic and organizational issues of enterprise interoperability and networking. Annual Reviews in Control, Vol. 34, pp. 139–144, Elsevier
  3. Serban A., Luan, J. 2002. Knowledge Management: Building a Competitive Advantage in Higher Education: New Directions for Institutional Research. Data Mining and Its Applications in Higher Education, pp. 1-13, Jossey Bass, San Francisco
  4. D.F. Barrero, Maria. D. R-Moreno. 2010. Information Integration in Searchy: An Ontology and Web Services Based Approach. International Journal of Computer Science and Applications (IJCSA), Vol. 7, (2010), pp. 14-29.
  5. Laura, M. Haas, Aya Soffer. 2009. New Challenges in Information Integration. DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, LNCS 5691, pp. 1–8, Springer-Verlag Berlin, Heidelberg
  6. Stocks K. I, Condit C, Qian X, Brewin P.E., Gupta A. 2009. Bringing together an ocean of Information: An extensible data integration framework for biological oceanography. Deep Sea Research Part II: Topical Studies in Oceanography, Vol. 56 (19-20), pp. 1804-1811, Elsevier
  7. Philip A. Bernstein, Laura M. Haas. 2008. Information Integration in the Enterprise. Communications of the ACM , Vol. 51, no. 9, pp. 72-79, New York
  8. Srinivasan L., Treadwell J. 2005. An Overview of Service-oriented Architecture Web Services and Grid Computing, Technical Report, HP Software Global Business Unit
  9. Stollberg M., Fensel D. 2010. Semantics for Service-Oriented Architectures. In N. Griffiths and K. M. Chao (ed.): Agent-Based Service-Oriented Computing, pp. 113-139, Springer, Berlin
  10. Alonso, G., Casati, F., Kuno, H., Machiraju, V. 2004. Web Services: Concepts, Architectures and Applications. pp. 123-149, Springer Verlag, Heidelberg
  11. Alexiev V., Breu M., Bruijn J. de, Fensel D., Lara R., Lausen H. 2005. Information Integration with Ontologies. pp. 9-36, Wiley, UK
  12. Bruijn J. de. 2006. Logics for the Semantic Web. In J. Cardoses (ed.) Semantic Web Services: Theory, Tools and Applications. Vol 16, no 2, pp. 46-53, Idea Publishing Group
  13. Hepp M., Leenheer P. de, de Moor A., Sure Y. 2008. Ontology Management: Semantic Web, Semantic Web Services, and Business Applications. Series: Semantic Web and Beyond. Vol 7, pp. 256-288, Springer-Verlag Berlin
  14. Noy N. 2004. Semantic Integration: A Survey of Ontology-based Approaches. ACM SIGMOD Record, 33(4):65–70
  15. Uchyigit G. 2009. Semantically Enhanced Web Personalization, Web Mining Appl. in E-Commerce & E-Services. SCI 172, pp. 25–44, Springer-Verlag Berlin
  16. Rao J., X. Su X. 2004. A Survey of Automated Web Service Composition Methods, in: Proceedings of First International Workshop on Semantic Web Services and Web Process Composition(SWSWPC 2004), pp. 43-54, San Diego, California, USA
  17. Tan V. V., Yi M.-J. 2010. Flexibility and Interoperability in Automation Systems by Means of Service Oriented Architecture. ICIC 2010, LNAI 6216, pp. 554–563, Springer-Verlag Berlin
  18. Tong G., Sun Y., Tang J., and Qin K. 2009. Application of Ontology-Based Information Integration on BI System. IEEE WCSE’09 World Congress on Software Engineering, pp. 171-175.
  19. Davis J., Studer R., Warren P. 2006. Semantic Web Technologies. Trends and Research in Ontology-based Systems. Wiley & Sons
  20. Kashyap V., Bussler C., Moran M. 2003. The Semantic Web: Semantic for Data and Services on the Web. In Proc of the 29th VLDB, pp. 37-58, Springer-Verlag Berlin
  21. White R. W., Bailey P., Chen L. 2009. Predicting User Interests from Contextual Information. ACM SIGIR’09, pp. 363-370, Massachusetts, USA
  22. W. Maseri Bt W. Mohd, Embong A., Zain J. M. 2010. A Framework of Dashboard System for Higher Education Using Graph-Based Visualization Technique. NDT 2010, Part I, CCIS 87, pp. 55–69, Springer-Verlag Berlin Heidelber.
Index Terms

Computer Science
Information Sciences

Keywords

Personalization Semantic Web Information Integration Service-Oriented Architecture Higher Education Institute