Abstract
The advancement of the Internet of things, big data, and mobile computing leads to the need for smart services that enable the context awareness and the adaptability to their changing contexts. Today, designing a smart service system is a complex task due to the lack of an adequate model support in awareness and pervasive environment. In this paper, we present a context-aware knowledge model for smart service systems that organizes the domain and context-aware knowledge into knowledge components based on the three levels of services: Services, Service system and Network of service systems. The context-aware knowledge model for smart service systems integrates all the information and knowledge related to smart services, knowledge components and context awareness that can play a key role for any framework, infrastructure, or applications deploying smart services. To demonstrate the approach, a case study about a chatbot as a smart service for customer support is presented.
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References
Abowd, Gregory D., Dey, Anind K., Brown, Peter J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Gellersen, Hans-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304–307. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-48157-5_29
Altinok, D.: An ontology-based dialogue management system for banking and finance dialogue systems. arXiv preprint arXiv:1804.04838 (2018)
Wu, L.Y., Fisch, A., Chopra, S., Adams, K., Bordes, A., Weston, J.: Starspace: embed all the things!. In: Thirty-Second AAAI Conference on Artificial Intelligence (2018)
Bellavista, P., Corradi, A., Fanelli, M., Foschini, L.: A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv. (CSUR) 44(4), 24 (2012)
Chen, G., Kotz, D.: A survey of context-aware mobile computing research. Dartmouth Computer Science Technical report TR2000-381 (2000)
Dulceanuy, A., et al.: PhotoshopQuiA: a corpus of natural language for why-question answering. In: Dulceanuy, A., Le Dinh, T., Chang, W., Bui, T., Kim, D.S., Vu, M.C., Seokhwan. In: 11th edition of the Language Resources and Evaluation Conference, Miyazaki, Japan (2018)
Geum, Y., Jeon, H., Lee, H.: Developing new smart services using integrated morpho-logical analysis: integration of the market-pull and technology-push approach. Serv. Bus. 10(3), 531–555 (2016)
Gu, T., Pung, H.K., Zhang, D.Q.: A service-oriented middleware for building context-aware services. J. Network Comput. Appl. 28(1), 1–18 (2005)
Johnson, J.L., Sohi, R.S., Grewal, R.: The role of relational knowledge stores in interfirm partnering. J. Mark. 68(3), 21–36 (2004)
Kim, J.D., Son, J., Baik, D.K.: CA 5W1H onto: ontological context-aware model based on 5W1H. Int. J. Distrib. Sens. Netw. (2012), [247346]. https://doi.org/10.1155/2012/247346
Le Dinh, T., Leonard, M.: A conceptual framework for modelling service value creation networks. In: 2009 International Conference on Network-Based Information Systems (2009)
Le Dinh, T., Pham Thi, T.T: Information-driven framework for collaborative business service modelling. Int. J. Serv. Sci. Manage. Eng. Technol. (IJSSMET) 3(1), 1–18 (2012)
Le Dinh, T., Rickenberg, T.A., Fill, H.G., Breitner, M.H.: Towards a knowledge-based framework for enterprise content management. In: Proceedings of the 2014 47th Hawaii International Conference on System Sciences, pp. 3543–3552. IEEE Computer Society (2014)
Lim, C., Maglio, P.P.: Data-driven understanding of smart service systems through text mining. Serv. Sci. 10(2), 154–180 (2018)
Luong, H.T., Ly Tran, T.L., Pham Nguyen, C., Le Dinh, T., Gia, T.H., Le Nguyen, H.N.: Towards Chatbot-based Interactive What- and How-Question Answering Systems: the Adobot Approach. To be published in IEEE-RIVF (2020)
Lusch, R.F., Vargo, S.L., Wessels, G.: Towards a conceptual foundation for service science: contributions from service-dominant logic. IBM Syst. J. 47(1), 5–14 (2008)
Medina-Borja, A.: Smart things as service providers: a call for convergence of disciplines to build a research agenda for the service systems of the future. Serv. Sci. 7(1), ii–v (2015)
Oh, J.S., Park, J.S., Kwon, J.R.: Design middleware platforms for ubiquitous smart service on city gas environment in Korea. In: Ślęzak, D., Kim, T.-h., Ma, J., Fang, W.-C., Sandnes, F.E., Kang, B.-H., Gu, B. (eds.) UNESST 2009. CCIS, vol. 62, pp. 90–97. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10580-7_14
Rumbaugh, J., Jacobson, I., Booch, G.: The Unified Modeling Language Reference (1999)
Skianis, K.: The Question-Answering and Chatbot challenges (2017)
Spohrer, J., Maglio, Paul P., Bailey, J., Gruhl, D.: Steps towards a science of service systems. IEEE Comput. 1, 71–77 (2007)
Spohrer, J.C.: NSF virtual forum: platform technologies and smart service systems (2013). http://service-science.info/archives/3217. Accessed 14 Nov 2017
Vargo, S.L., Lusch R.F.: Evolving to a new dominant logic for marketing. J. Mark. 1, 1–17 (2004)
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Le, D.T., Thi, T.T.P., Pham-Nguyen, C., Nam, L.N.H. (2020). Towards a Context-Aware Knowledge Model for Smart Service Systems. In: Nguyen, N.T., Hoang, B.H., Huynh, C.P., Hwang, D., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2020. Lecture Notes in Computer Science(), vol 12496. Springer, Cham. https://doi.org/10.1007/978-3-030-63007-2_60
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