Abstract
Given the current economic situation and the financial crisis in many European countries, Small and Medium Enterprises (SMEs) have found internationalisation and exportation of their products as the main way out of this crisis. In this paper, we provide a decision support system that semantically aggregates information from many heterogeneous web resources and provides guidance to SMEs for their potential investments. The main contributions of this paper are the introduction of SME internationalisation indicators that can be considered for such decisions, as well as the novel decision support system for SME internationalisation based on inference over semantically integrated data from heterogeneous web resources. The system is evaluated by SME experts in realistic scenarios in the section of dairy products.
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A demo of the DSS is available at: http://grinder1.multisensorproject.eu/uc3/.
References
Power, D.J.: Decision support systems: concepts and resources for managers. Stud. Inform. Control 11(4), 349–350 (2002)
Power, D.J., Sharda, R.: Model-driven decision support systems: concepts and research directions. Decis. Support Syst. 43(3), 1044–1061 (2007)
Power, D.J.: What are examples of decision support systems in global enterprises? DSS News, 7(7) (2006)
Power, D.J.: Understanding data-driven decision support systems. Inform. Syst. Manage. 25(2), 149–154 (2008)
Blomqvist, E.: The use of Semantic Web technologies for decision support–a survey. Semant. Web 5(3), 177–201 (2014)
Pontz, C., Power D.J.: Building an Expert Assistance System for Examiners (EASE) at the Pennsylvania Department of Labor and Industry (2002)
Jafarpour, B., Abidi, S.R., Abidi, S.S.R.: Exploiting OWL reasoning services to execute ontologically-modeled clinical practice guidelines. In: Peleg, M., Lavrač, N., Combi, C. (eds.) AIME 2011. LNCS, vol. 6747, pp. 307–311. Springer, Heidelberg (2011)
Sanchez, E., Toro, C., Carrasco, E., Bueno, G., Parra, C., Bonachela, P., Graña, M., Guijarro, F.: An architecture for the semantic enhancement of clinical decision support systems. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part II. LNCS, vol. 6882, pp. 611–620. Springer, Heidelberg (2011)
Kim, H.J., Kim, W., Lee, M.: Semantic Web Constraint Language and its application to an intelligent shopping agent. Decis. Support Syst. 46(4), 882–894 (2009)
Huang, S.L., Tsai, Y.H.: Designing a cross-language comparison-shopping agent. Decis. Support Syst. 50(2), 428–438 (2011)
Wanner, L., Rospocher, M., Vrochidis, S., Johansson, L., Bouayad-Aghae, N., Casamayor, G., Karppinen, A., Kompatsiaris, I., Millee, S., Moumtzidou, A., Serafini, L.: Ontology-centered environmental information delivery for personalized decision support. Expert Syst. Appl. 42(12), 5032–5046 (2015)
Tseng, C.C., Gmytrasiewicz, P.J.: Real time decision support system for portfolio management. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences, HICSS, pp. 1348–1356. IEEE (2002)
Casanova, I.J.: Portfolio investment decision support system based on a fuzzy inference system. In: Madani, K., Dourado Correia, A., Rosa, A., Filipe, J. (eds.) Computational Intelligence. SCI, vol. 399, pp. 183–196. Springer, Heidelberg (2012)
Weber, B.W.: Financial DSS: Systems for supporting investment decisions. Handbook on Decision Support Systems 2, pp. 419–442. Springer, Heidelberg (2008)
Cyganiak, R., Reynolds, D.: The RDF Data Cube Vocabulary. W3C Recommendation, 16 January 2014 (2014). http://www.w3.org/TR/vocab-data-cube/
Statistical Data and Metadata eXchange. Official site for the SDMX community. https://sdmx.org/. Accessed Apr 2016
Capadisli, S., Auer, S., Riedl, R.: Towards linked statistical data analysis. In: Proceedings of the 1st International Workshop on Semantic Statistics, Sydney, Australia, 11 October 2013. CEUR vol. 1549 (2013). http://csarven.ca/linked-statistical-data-analysis
Alexiev, V., Breu, M., de Bruijn, J., Fensel, D., Lara, R., Lausen, H.: Information Integration with Ontologies: Experiences from an Industrial Showcase. Wiley, New York (2005). ISBN 978-0-470-01048-8
Gearon, P., Passant, A., Polleres, A.: SPARQL 1.1 Update, W3C Recommendation 21 March 2013 (2013). https://www.w3.org/TR/sparql11-update/
Heise, N., Wagner, T., Eckhoff, M., Vrochidis, S., Peleja, F.: MULTISENSOR Second Prototype Evaluation Report (2015) http://www.multisensorproject.eu/wp-content/uploads/2013/09/D8.4_2ndPrototypeEvaluationReport_v1.0.pdf
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This work was supported by the project MULTISENSOR (FP7-610411), funded by the European Commission.
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Simeonov, B. et al. (2016). Semantic Integration of Web Data for International Investment Decision Support. In: Bagnoli, F., et al. Internet Science. INSCI 2016. Lecture Notes in Computer Science(), vol 9934. Springer, Cham. https://doi.org/10.1007/978-3-319-45982-0_18
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