Determination of the structure and content of input information resources for Mash-up system work

Authors

DOI:

https://doi.org/10.15587/2312-8372.2014.31412

Keywords:

Mash-up system, input information resource, states of activity Mash-up system, ontology, formalism of object-oriented networks of restrictions

Abstract

In this paper the research of application of new approaches to overcome of semantic mazes of input information, one of which is the improvement of stage of defining the structure and content of incoming information resources for Mash-up system work has been presented. The general UML-diagram of Mash-up system activity has been constructed and its work, according to the selected state activity has been described. The most important states in the work of Mash-up system such as: finding of need information, extracting of found information and storing it as a service have been shown.

Based on the selected states of activity of Mash-up system, the steps of defining of structure and content of incoming information resources have been developed. The detailed analysis and description of each of developed steps for defining of structure and content of incoming information resources has been displayed. The possible solutions to problems posed by selected steps for defining of structure and content of incoming information resources for Mash-up system have been offered.  

The concept of knowledge presenting in local ontology, which are used the formalism of object-oriented network restrictions proposed by A. Smirnov has been consided. The basic operations of creating of local ontology have been shown.

Author Biographies

Ірина Ігорівна Кушнірецька, Lviv Polytechnic National University, S. Bandery 12, Lviv

PhD student

Department of Information Systems and Networks

Оксана Ігорівна Кушнірецька, Lviv Polytechnic National University, S. Bandery 12, Lviv

PhD student

Department of Information Systems and Networks

Андрій Юліанович Берко, Lviv Polytechnic National University, S. Bandery 12, Lviv

Professor, Doctor of Technical Sciences, Head of the Department

Department of General Ecology and Ecoinformation Systems 

References

  1. Kushniretska, I. I., Berko, A. Y. (2013). Application of MashUp Technology for Dynamic Integration of Semi-Structured Data. CSE-2013. Lvov, 220-221.
  2. Altinel, M., Brown, P., Cline, S., Kartha, R., Louie, E., Markl, V., Mau, L., Ng, Y-H., Simmen, D., Singh, A. (2007). Damia – A Data Mashup Fabric for Intranet Applications. VLDB ’07, September 23-28, 2007, Vienna, Austria. VLDB Endowment, 1370-1373.
  3. Ennals, R. J., Garofalakis, M. N. (2007). Mashmaker: mashups for the masses. Proceedings of the 2007 ACM SIGMOD international conference on Management of data - SIGMOD ’07. ACM Press, 1116–1118. doi:10.1145/1247480.1247626
  4. Huynh, D. F., Miller, R. C., Karger, D. R. (2007). Potluck: Data Mash-Up Tool for Casual Users. The Semantic Web. Springer Science + Business Media, 239-252. doi:10.1007/978-3-540-76298-0_18
  5. Wong, J. (2007, September). Marmite: Towards End-User Programming for the Web. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007). IEEE, 1541-1546. doi:10.1109/vlhcc.2007.40
  6. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. F. (2003). The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, 132-136.
  7. Lenzerini, M. (2002). Data Integration: A Theoretical Perspective. Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems - PODS ’02. ACM Press, 233-246. doi:10.1145/543613.543644
  8. Bock, C. (2004, November-December). UML 2 Composition Model. Journal of Object Technology, Vol. 3, No. 10, 47-73. Available: http://www.jot.fm/issues/issue_2004_11/column5
  9. Leonenkov, A. (2007). Tutorial UML. Kyiv. Available: http://kniga.scienceontheweb.net/samouchitel-uml-2.html
  10. Bezdushnyi, A. A. (2008). Mathematical model of data integration on the basis of descriptive logic: dissertation of the candidate of physical and mathematical sciences. Moscow, 21.
  11. Smirnov, A. V., Pashkin, M. P., Shilov, N. G., Levashova, T. V.; St. Petersburg Institute of Informatics and Automation of RAS (2007). Approach to building distributed system of intelligent decision support in an open information environment. St. Petersburg: SPIIRAN, 145-153.
  12. Kushniretska, I. I., Berko, A. Y. (2014). The technique of "black box" and the agent-oriented approach for Mash-Up integration of information resources. ICS-2014. Lviv-Slavskoe, 62-63.

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Published

2014-12-23

How to Cite

Кушнірецька, І. І., Кушнірецька, О. І., & Берко, А. Ю. (2014). Determination of the structure and content of input information resources for Mash-up system work. Technology Audit and Production Reserves, 6(3(20), 4–9. https://doi.org/10.15587/2312-8372.2014.31412

Issue

Vol. 6 No. 3(20) (2014): Information technology and control systems

Section

Information technology and control systems

License

Copyright (c) 2016 Ірина Ігорівна Кушнірецька, Оксана Ігорівна Кушнірецька, Андрій Юліанович Берко

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