Semantic Web Tools and Decision-Making
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Abstract
Semantic Web technologies are intertwined with decision-making processes. In this paper the general objectives of the semantic web tools are reviewed and characterized, as well as the categories of decision support tools, in order to establish an intersection of utility and use. We also elaborate on actual and foreseen possibilities for a deeper integration, considering the actual implementation, opportunities and constraints in the decision-making context.
Keywords
Semantic Web Decision-making Web evolutionPreview
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References
- 1.Acharya, S., Parija, S.: The Process of Information Extraction through Natural Language Processing. International Journal of Logic and Computation (IJLP) 1(1), 40–51 (2010)Google Scholar
- 2.Antunes, F., Costa, J.P.: Integrating decision support and social networks. Advances in Human-Computer Interaction 2012, 1–10 (2012)CrossRefGoogle Scholar
- 3.Antunes, F., Costa, J.P.: A decision reconstruction support model. International Journal of Information Technology & Decision Making 12(2), 309–333 (2013)CrossRefGoogle Scholar
- 4.Arnott, D., Pervan, G.: A critical analysis of decision support systems research. Journal of Information Technology 20, 67–87 (2005)CrossRefGoogle Scholar
- 5.Arnott, D., Pervan, G.: Eight key issues for the decision support systems discipline. Decision Support Systems 44, 657–672 (2008)CrossRefGoogle Scholar
- 6.Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web, pp. 34–43. Scientific American (2001)Google Scholar
- 7.Blomqvist, E.: The Use of Semantic Web Technologies for Decision Support - A Survey. Semantic Web, Pre-Press, 1–25 (2013)Google Scholar
- 8.Bodomo, A.B.: Computer-Mediated Communication for Linguistics and Literacy: Technology and Natural Language Education. Information Science Reference. Hershey, New York (2010)Google Scholar
- 9.Boyd, D.M.: The significance of social software. In: Burg, T.N., Schmidt, J. (eds.) Blog Talks Reloaded. Social Software - Research & Cases, pp. 15–30. Books on Demand GmbH, Norderstedt, Germany (2006)Google Scholar
- 10.Cowie, J., Lehnert, W.: Information Extraction. Communications of the ACM 39(1), 80–91 (1996)CrossRefGoogle Scholar
- 11.Du, T.C.: Building an automatic e-tendering system on the Semantic Web. Decision Support Systems 47(1), 13–21 (2009)CrossRefGoogle Scholar
- 12.Franklin, S., Graesser, A.: Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. In: Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages, Budapest, Hungary, August 12-13, pp. 21–35. Springer (1996)Google Scholar
- 13.Gaševic, D., Djuric, D., Devedžic, V.: Model driven engineering and ontology development. Springer, Berlin (2009)Google Scholar
- 14.Gehrke, N., Wolf, P.: Towards Audit 2.0 – A Web 2.0 Community Platform for Auditors. In: Proceedings of the 43rd Hawaii International Conference on System Sciences (CD-ROM), January 5-8. Computer Society Press, Kauai (2010)Google Scholar
- 15.Georgalou, M.: “Pathfinding” Discourses of Self in Social Network Sites. In: Taiwo, R. (ed.) Handbook of Research on Discourse Behavior and Digital Communication: Language Structures and Social Interaction, pp. 39–62. IGI Global, Hershey, New York (2010)CrossRefGoogle Scholar
- 16.Hendler, J.: Web 3.0 Emerging. Computer 42(1), 111–113 (2009)CrossRefGoogle Scholar
- 17.Kousetti, C., Millard, D.E., Howard, Y.: Study of Ontology Convergence in a Semantic Wiki. In: Proceedings of the WikiSym 2008 International Symposium on Wikis Porto, Portugal, September 8-10 (2008)Google Scholar
- 18.Lassila, O., Hendler, J.: Embracing “Web 3.0”. IEEE Internet Computing 11(3), 90–93 (2007)CrossRefGoogle Scholar
- 19.Muysken, P.: Bilingual Speech: A Typology of Code-mixing. Cambridge University Press (2000)Google Scholar
- 20.Necula, S.-C.: Discussions on semantic-based in decision support systems. In: Proceedings of the 5th European Conference on European Computing Conference (ECC 2011), April 28-30, pp. 193–197. World Scientific and Engineering Academy and Society (WSEAS), Paris (2011)Google Scholar
- 21.Necula, S.-C.: Implementing the Main Functionalities Required by Semantic Search in Decision-Support Systems. International Journal of Computers, Communications & Control (IJCCC) 7(5), 907–915 (2012)Google Scholar
- 22.Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company. Oxford University Press, New York (1995)Google Scholar
- 23.Padula, M., Reggiori, A., Capetti, G.: Managing Collective Knowledge in the Web 3.0. In: Society, I.C. (ed.) Proceedings of the INTERNET 2009, First International Conference on Evolving Internet, Cannes/La Bocca, French Riviera, France, August 23-29 (2009)Google Scholar
- 24.Pattal, M.M.I., Yuan, L., Jianqiu, Z.: Web 3.0: A real personal Web! More opportunities & more threats. In: Proceedings of the Third International Conference on Next Generation Mobile Applications, Services and Technologies, September 15-18, IEEE Computer Society Press, Cardiff (2009)Google Scholar
- 25.Power, D.J., Sharda, R., Kulkarni, U.R.: Understanding Decision Support Systems for Global Enterprises. In: Decision Support for Global Enterprises, pp. 3–14. Springer US (2007)Google Scholar
- 26.Robu, V., Halpin, H., Shepherd, H.: Emergence of consensus and shared vocabularies in collaborative tagging systems. ACM Transactions on the Web (TWEB) 3(4), Article 14 (2009)Google Scholar
- 27.Russell, S.J., Norvig, P., Artificial Intelligence, A.: Modern Approach. Pearson Education, Inc., Upper Saddle River (2010)Google Scholar
- 28.Schneider, J., Groza, T., Passant, A.: A review of argumentation for the Social Semantic Web. Semantic Web 4(2), 159–218 (2013)Google Scholar
- 29.Turban, E., Aronson, J.E., Liang, T.P.: Decision Support Systems and Intelligent Systems. Pearson Education Inc., New Jersey (2005)Google Scholar
- 30.Turban, E., Liang, T.-.P., Wu, S.P.: A Framework for Adopting Collaboration 2.0 Tools for Virtual Group Decision Making. Group Decision and Negotiation 20, 137–154 (2011)CrossRefGoogle Scholar
- 31.Venkatesh, V., Davis, F.D.: A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 46(2), 186–204 (2000)CrossRefGoogle Scholar
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