The Application of Semantic Technologies to Design Intelligent Lifecycle Management Systems

Design of intelligent management systems (IMS) is an important task. However, IMS design methods for lifecycle management of complex technical systems (CTS) have not been sufficiently developed. The article considers an approach to building an intelligent lifecycle management system for CTS based on Open Semantic Technologies for Intelligent Systems (OSTIS). The knowledge base of such a system is based on a set of domain ontologies supporting the design management, as well as further CTS development. The problem of intellectualization of the lifecycle management is considered in the context of developing the IMS as a system for managing knowledge circulating at all stages of the lifecycle.  The article presents methods for OSTIS component-based design, IMS architecture, fragments of the lifecycle domain ontology and of the project management domain in the SCn language.

References

[1] Stark R., Damerau T., Hayka H., Neumeyer S., Woll R. Intelligent information technologies to enable next generation PLM. IFIP Advances in Information and Communication Technology, 2014, vol. 442, pp. 485–495.

[2] Stark J. Product Lifecycle Management: 21st Century Paradigm for Product Realization. London, Springer-Verlag, 2011. 572 p.

[3] Evgenev G.B. Intellektual’nye sistemy proektirovaniia [Intelligent Systems Design]. Moscow, Bauman Press, 2012. 420 p.

[4] Evgenev G.B. Ontologicheskaia metodologiia sozdaniia intellektual’nykh sistem v mashinostroenii [An ontological methodology for developing intelligent systems in mechanical engineering]. Izvestiia vysshikh uchebnykh zavedenii. Mashinostroenie [Proceedings of Higher Educational Institutions. Маchine Building]. 2014, no. 6(651), pp. 39–47.

[5] Golenkov V.V., Guliakina N.A. Printsipy postroeniia massovoi semanticheskoi tekhnologii komponentnogo proektirovaniia intellektual’nykh system [Principles of construction of mass semantic technology component of intelligent systems. Open semantic technologies of intelligent systems]. Otkrytye semanticheskie tekhnologii proektirovaniia intellektual’nykh sistem. Materialy mezhdunar. nauch.-tekhn. konf. (OSTIS-2011, Minsk, 10-12 fevralia 2011 g.) [Proceedings of the International Scientific and Technical Conference (OSTIS-2011 Minsk, 10-12 February 2011)]. Minsk, BGUIR publ., 2011, pp. 21–59.

[6] Open Semantic Technologies for Intelligent Systems — OSTIS. Available at: http://aikernel.org/projects/055/index.ru.html (accessed 11 November 2015).

[7] Evgenev G.B. Ontologicheskaia metodologiia sozdaniia prikladnykh intellektual’nykh system [The ontological methodology of application of intelligent systems]. Integrirovannye modeli i miagkie vychisleniia v iskusstvennom intellekte. Sbornik nauch. tr. 8-i Mezhdunar. nauch.-prakt. konf. (Kolomna, 18-20 maia 2015 g.) [Integrated models and soft computing in artificial intelligence Collection of scientific works of the 8th International Scientific and Practical Conference (Kolomna, 18-20 May 2015)]. Vol. 1. Moscow, Fizmatlit publ., 2015, pp. 252–258.

[8] Petrochenkov A.B., Bochkarev S.V., Ovsyannikov M.V., Bukhanov S.A. Construction of an Ontological Model of the Life Cycle of Electrotechnical Equipment. Russian Electrical Engineering, 2015, vol. 86, iss. 6, pp. 320–325.

[9] Golenkov V.V., Guliakina N.A. Grafodinamicheskie modeli parallel’noi obrabotki znanii: printsipy postroeniia, realizatsii i proektirovaniia [Count Dynamic models of parallel processing knowledge: principles of construction, design and realization]. Otkrytye semanticheskie tekhnologii proektirovaniia intellektual’nykh sistem (OSTIS-2012). Materialy Mezhdunar. nauch.-tekhn. konf. [Open semantic technologies of intelligent systems (OSTIS-2012): Proceedings of the International Scientific Conference]. Minsk, BGUIR publ., 2012, pp. 23–52.

[10] Kolchin A.F., Strekalov A.F., Ovsiannikov M.V., Sumarokov S.V. Upravlenie zhiznennym tsiklom produktsii [Product Lifecycle Management]. Moscow, Anakharsis publ., 2002.

[11] Tarasov V.B., Fedotova A.V., Cherepanov N.V. Ontologii zhiznennogo tsikla slozhnoi tekhnicheskoi sistemy [Ontology life cycle of complex technical systems]. Otkrytye semanticheskie tekhnologii proektirovaniia intellektual’nykh sistem Materialy 4-i mezhdunar. nauch.-tekhn. konf. (OSTIS-2014, Minsk, BGUIR, 20-22 fevralia 2014 g.) [Open semantic technologies of intelligent systems Proceedings of the 4th International Scientific Conference (OSTIS-2014 Minsk, BSUIR, 20-22 February 2014)]. Minsk, BGUIR publ., 2014, pp. 471–482.

[12] Jun H.B., Kiritsis D., Xirouchakis P. A Primitive Ontology Model for Product Lifecycle Meta Data in the Closed-Loop PLM. Enterprise Interoperability II. New Challenges and Approaches. Heidelberg, Springer-Verlag, 2007, pp. 729–740.

[13] Tarasov V.B., Fedotova A.V., Stark R., Karabekov B.S. Granular Meta-Ontology and Extended Allen’s Logic: Some Theoretical Background and Application to Intelligent Product Lifecycle Management Systems. Proceedings of the 4th International Conference on Intelligent Systems and Applications (INTELLI’2015, St. Julians, Malta, October 11-16, 2015). Copenhagen, IARIA XPS Press, 2015, pp. 86–93.

[14] Khoroshevskii V.F. Prostranstva znanii v seti Internet i Semantic Web (Chast’ 1) [Spaces of knowledge on the Internet and Semantic Web (Part 1)]. Iskusstvennyi intellekt i priniatie reshenii [Artificial Intelligence and decision making]. 2008, no. 1, pp. 80–97.

[15] Fedotova A.V. Intellektual’naia sistema planirovaniia tekhnicheskogo obsluzhivaniia i remonta oborudovaniia v upravlenii zhiznennym tsiklom produktsii vysokogo znacheniia [Intelligent scheduling system maintenance and repair in the life cycle management of high value]. Intellektual’nye sistemy i tekhnologii: sovremennoe sostoianie i perspektivy. Sb. nauch. tr. Mezhdunar. letnei shkoly-seminara po iskusstvennomu intellektu dlia studentov, aspirantov i molodykh uchenykh (Tver’–Protasovo, 1-5 iiulia 2013 g.) [Collection of scientific works of the International Summer School on artificial intelligence for students, graduate students and young scientists (Tver–Protasovo, 1-5 July 2013)]. Tver’, TvGTU publ., 2013, pp. 153–161.

[16] Fedotova A.V., Vetrov A.N., Tarasov V.B. Granuliatsiia informatsii pri modelirovanii zhiznennogo tsikla slozhnykh tekhnicheskikh sistem [Information Granulation in Life Cycle Modeling for Complex Technical Systems]. Internet-zhurnal Naukovedenie [Electronic scientific publication of Naukovedenie]. 2013, no. 5(18). Available at: http://naukovedenie.ru/PDF/53tvn513.pdf 

[17] Gavriushin S.S., Evgenev G.B. Mnogokriterial’naia optimizatsiia v zhiznennom tsikle izdelii [Multicriteria Optimizationin the Life Cycle of Products]. Informatsionnye tekhnologii [Information Technologies]. 2014, no. 2, pp. 37–42.

[18] Shunkevich D.V. Sredstva podderzhki komponentnogo proektirovaniia sistem, upravliaemykh znaniiami [Support Tools component system design, manage knowledge]. Otkrytye semanticheskie tekhnologii proektirovaniia intellektual’nykh sistem (OSTIS-2015). Materialy 5 Mezhdunar. nauch.-tekhn. konf. [Open semantic technologies of intelligent systems (OSTIS-2015): 5 Materials of the International Scientific-Technical Conference]. Minsk, BGUIR publ., 2015.