Инд. авторы:	Guskov A.E., Shabelnikov S.A., Vasilkov A.V.
Заглавие:	Principles for the development of distributed data-acquisition systems based on ontologies
Библ. ссылка:	Guskov A.E., Shabelnikov S.A., Vasilkov A.V. Principles for the development of distributed data-acquisition systems based on ontologies // Scientific and Technical Information Processing. - 2015. - Vol.42. - Iss. 5. - P.313-320. - ISSN 0147-6882. - EISSN 1934-8118.
Внешние системы:	DOI: 10.3103/S0147688215050123; РИНЦ: 26951064; SCOPUS: 2-s2.0-84957101506; WoS: 000420825000002;
Реферат:	eng: This paper investigates the issues of the automated construction of distributed data-acquisition systems using a formalized description of a domain. Techniques for the creation of ontological descriptions are reviewed. A new method for domain ontology construction is proposed. Object, relational, and hierarchical software models are developed based on it. A technology for the separation of the functionality of a dataacquisition system from their objective description is presented. © 2015, Allerton Press, Inc.
Ключевые слова:	xml; owl; ontology; data-acquisition system;
Издано:	2015
Физ. характеристика:	с.313-320
Цитирование:	1. Yildiz, B. and Miksch, S., Ontology-driven information systems: Challenges and requirements, Proc. Int. Conf. on Semantic Web and Digital Libraries, 2007. p. 11. 2. OWL Web Ontology Language. Overview. W3C Recommendation. http://wwww3org/TR/owl-features/ 3. Information Integration for Concurrent Engineering (IICE). IDEF5 Method Report. Knowledge Based Systems, Inc., 1408.University Drive East College Station, Texas, US. September 21, 1994. 4. Andreeva, N.V. and Lyubimov, A.V., The choice of methods and means for ontological analysis of information security standards, VI Vserossiiskaya mezhvuzovskaya konferentsiya molodykh uchenykh (6th AllRussian Interuniversity Conf. for Young Scientists), St. Petersburg: SPbGU ITMO, 2009, no. 6, pp. 29–33. 5. Lenat, D. and Guha, R.V., Building Large Knowledge Based Systems: Representation and Inference in the Cyc Project, Addison-Wesley, 1989. 6. Uschold, M., King, M., Moralee, S., and Zorgios, Y., The enterprise ontology, Knowl. Eng. Rev., 1998, vol. 13, no. 1, pp. 31–89. 7. TOVE Ontology Project. http://wwweilutorontoca/enterprise-modelling/tove/ 8. Ferndndez, M., Gomez-Perez, A., and Juristo, N., Methontology: From ontological art towards ontological engineering, in AAAI Technical Report SS-97-06, 2006. 9. Staab, S., Schnurr, H.P., Studer, R., and Sure, Y., Knowledge processes and ontologies, IEEE Intell. Syst., 2001, vol. 16, no. 1, pp. 26–34. 10. Swartout, B., Ramesh, P., Knight, K., and Russ, T., Toward distributed use of large-scale ontologies, Symposium on Ontological Engineering of AAAI, Stanford, CA, 1997. 11. Schreibe, G., Wielinga, B., and Jansweijer, W., The KACTUS view on the 'O' world, Proc. Nat. Dutch AI Conf. NAIC’95, 1995. 12. Forest Code of the Russian Federation: the Federal Law of December 4, 2006no. 220-FZ. 13. Gruber, T.R., Toward principles for the design of ontologies used for knowledge sharing, Int. J. Hum.-Comput. Stud., 1993, vol. 43, no. 4–5, pp. 907–928. 14. Guarino, N., Formal ontology and information systems, Proc. 1st Int. Conf. on Formal Ontologies in Information Systems (FOIS), 1998. pp. 3–15. 15. Scott, W., Ambler Mapping Objects to Relational Databases: O/R Mapping in Detail. http://wwwagiledataorg/essays/mappingObjectshtml