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Designing of structural ontological data systems model for mash-up integration process

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes the construction of structural ontological data systems model in the process of data integration. The usage of ontologies in the context of improving the process of dynamic semantic data integration has been characterized. The algorithm of constructing of structural ontological data integrated systems model has been designed. This algorithm is based on the rules of using and application of ontological modeling. The algorithm as a sequence of five steps describing tasks for each of them has been presented.
Rocznik
Strony
39--50
Opis fizyczny
Bibliogr. 13 poz., fig., tab.
Twórcy
  • Lviv Polytechnic National University, Ukraine, 79013, Lviv, Bandera str., 28a
  • Lviv Polytechnic National University, Ukraine, 79013, Lviv, Bandera str., 28a
autor
  • Lviv Polytechnic National University, Ukraine, 79013, Lviv, Generala Chuprynky str., 130
Bibliografia
  • [1] Kushniretska I., Berko A.: Application of MashUp Technology for Dynamic Integration of Semi-Structured Data. Proceedings of the Sixth International Conference of Young Scientists CSE-2013, Lviv Polytechnic National University Publisher, Lviv, 2013, pp. 220–221.
  • [2] Wache H., Vogele T., Visser U., Stuckenschmidt K.: Ontology-Based Integration of Information – A Survey of Existing Approaches IJCAI-01 proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, Seattle, Washington, 2001, pp. 64–67.
  • [3] Guarino N.: The Role of Ontologies in Information Systems Design. Proceedings of the First International Conference of Formal Ontologies (FOIS’98), Italia, 1998, pp. 56–58.
  • [4] Uschold M., Gruninger M.: Ontologies: Principles, Methods and Applications. Knowledge Engineering Review, 11 (2), 1996, pp. 77–79.
  • [5] Gavrilova T.: Ontolohycheskyy Engineering. Proceedings of the Eighth Scientific and Practical Conference “Reengineering of business processes based on modern information technology, Knowledge Management System” (RBP-KMS-2005), Moscow, 2005, pp. 79–82.
  • [6] Lapshin V.: Ontology in computer systems. “The scientific world” publisher, Moscow, 2010, p. 222.
  • [7] Gruber T.: The role of common ontology in achieving sharable, reusable knowledge bases. Proceedings of the Second International Conference “Principles of Knowledge Representation and Reasoning”, 1991, pp. 601–602.
  • [8] Konstantinova N., Mitrofanova O.: Ontology as knowledge of the storage system [electronic resource]. – Available on: http://www.sci-innov.ru/icatalog_new/ index.php?action=send_att&entryid=68352&fname=68352e2-st08_(Митрофанова О.А.).pdf
  • [9] Smirnov A., Pashkin M., Shilov N., Levashova T.: Approach to building of the intelligent decision support distributed systems in an open information environment. St. Petersburg Institute of Informatics and Automation, St. Petersburg, 2007, pp. 145–153.
  • [10] Baader F., Calvanese D., McGuinness D., Nardi D., Patel-Schneider P.: The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, 2003, pp. 132–136.
  • [11] Euzenat J., Shvaiko P.: Ontology matching. Springer-Verlag Heidelberg, Berlin, 2007, p. 332.
  • [12] Kushniretska I., Kushniretska O., Berko A.: Determination of the structure and content of input information resources for Mashup system. Technology Audit and Production Reserves, Vol.20, No. 6/3, 2014, pp. 4–9.
  • [13] OWL Web Ontology Language Test Cases [electronic resource]. – Available on: http://www.w3.org/TR/owl-test/.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ab8cf0c5-d93c-4ea2-9d41-b97f521c8a2b
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