JCC  Vol.3 No.5 , May 2015
Linked Data Based Framework for Tourism Decision Support System: Case Study of Chinese Tourists in Switzerland
Abstract

Switzerland is one of the most desirable European destinations for Chinese tourists; therefore, a better understanding of Chinese tourists is essential for successful business practices. In China, the largest and leading social media platform—Sina Weibo, a hybrid of Twitter and Facebook—has more than 600 million users. Weibo’s great market penetration suggests that tourism operators and markets need to understand how to build effective and sustainable communications on Chinese social media platforms. In order to offer a better decision support platform to tourism destination managers as well as Chinese tourists, we proposed a framework using linked data on Sina Weibo. Linked Data is a term referring to using the Internet to connect related data. We will show how it can be used and how ontology can be designed to include the users’ context (e.g., GPS locations). Our framework will provide a good theoretical foundation for further understand Chinese tourists’ expectation, experiences, behaviors and new trends in Switzerland.


Cite this paper
Liu, Z. , Le Calvé, A. , Cretton, F. , Glassey Balet, N. , Sokhn, M. and Délétroz, N. (2015) Linked Data Based Framework for Tourism Decision Support System: Case Study of Chinese Tourists in Switzerland. Journal of Computer and Communications, 3, 118-126. doi: 10.4236/jcc.2015.35015.
References

[1]   Switzerland Tourism (2013) Research Report China: Market Analysis and Insight. http://www.stnet.ch/files/?id=63853

[2]   Cox, C., Burgess, S., Sellitto, C. and Buultjens, J. (2009) The Role of User-Generated Content in Tourists’ Travel Planning Behavior. Journal of Hospitality Marketing and Management, 18, 743-764. http://dx.doi.org/10.1080/19368620903235753

[3]   Yoo, K.-H., Lee, Y., Gretzel, U. and Fesenmaier, D.R. (2009) Trust in Travel-Related Consumer Generated Media. In: Hopken, W., Gretzel, U. and Law, R., Eds., Information and Communication Technologies in Tourism 2009, Springer Verlag, 49-59. http://dx.doi.org/10.1007/978-3-211-93971-0_5

[4]   China Tourism Academy (CTA) (2013) Annual Report of China Outbound Tourism Development 2013. Tourism Education Press, Beijing.

[5]   Burgess, S., Sellitto, C., Cox, C. and Buultjens, J. (2009) User-Generated Content (UGC) in Tourism: Benefits and Concerns of Online Consumers. Proceedings of 17th European Conference on Information System, Verona, 8-10 June 2009.

[6]   Litvin, S.W., Goldsmit, R.E. and Pan, B. (2008) Electronic Word-of-Mouth in Hospitality and Tourism Management. Tourism Management, 29, 458-468. http://dx.doi.org/10.1016/j.tourman.2007.05.011

[7]   Pan, B., MaClaurin, T. and Crotts, J.C. (2007) Travel Blogs and the Implications for Destination Marketing. Journal of Travel Research, 46, 35-45. http://dx.doi.org/10.1177/0047287507302378

[8]   Simms, A. (2012) Online User-Generated Content for Travel Planning–Different for Different Kinds of Ttrips? E-Review of Tourism Research, 10, 76-85.

[9]   Jacobsen, J.Kr.S. and Munar, A.M. (2012) Tourist Information Search and Destination Choice in A Digital Age. Tourism Management Perspectives, 1, 39-47. http://dx.doi.org/10.1016/j.tmp.2011.12.005

[10]   Guo, Z., Li, Z., Tu, H. and Li, L. (2012) Characterizing User Behavior in Weibo. Proceedings of the Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing, Vancouver, 26-28 June 2012, 60-65. http://dx.doi.org/10.1109/MUSIC.2012.18

[11]   Gao, Q., Abel, F., Houben, G.J. and Yu, Y. (2012) A Comparative Study of Users’ Micro-Blogging Behavior on Sina Weibo and Twitter. User Modeling, Adaptation, and Personalization, 7379, 88-101. http://dx.doi.org/10.1007/978-3-642-31454-4_8

[12]   Guan, W., Gao, H., Yang, M., Li, Y., Ma, H., Qian, W., Cao, Z. and Yang, X. (2014) Analyzing User Behavior of the Micro-Blogging Website Sina Weibo during Hot Social Events. Physica A, 395, 340-351. http://dx.doi.org/10.1016/j.physa.2013.09.059

[13]   Hu, T., Kalbaska, N. and Cantoni, L. (2013) A Picturesque Online Representation of Switzerland: A Research Conducted on Chinese Social Network Weibo. http://www.sinoptic.ch/textes/recherche/2013/201304_USI_swiss-images-cn.pdf

[14]   Navigli, R. (2009) Word Sense Disambiguation: A Survey. ACM Computing Surveys, 41, 1-69. http://dx.doi.org/10.1145/1459352.1459355

[15]   De Maat, E., Krabben, K. and Winkels, R. (2010) Machine Learning versus Knowledge Based Classification of Legal Texts. Proceedings of the 2010 Conference on Legal Knowledge and Information Systems, IOS Press, Amsterdam, 2010, 87-96.

[16]   Hellmann, S., Lehmann, J., Auer, S. and Brummer, M. (2013) Integrating NLP Using Linked Data. Proceedings of the 12th International Semantic Web Conference, 21-25 October 2013, Sydney. http://dx.doi.org/10.1007/978-3-642-41338-4_7

[17]   Gruber, T.R. (1993) A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, 5, 199-220. http://dx.doi.org/10.1006/knac.1993.1008

[18]   Pan, X.S. (2002) A Context-Based Free Text Interpreter. Master’s Thesis, California Polytechnic State University San Luis Obispo.

[19]   Cunningham, H., Wilks, Y. and Gaizauskas, R. (1996) GATE—A General Architecture for Text Engineering. Proceedings of the 16th International Conference on Computational Linguistics, Copenhagen.

[20]   Janik, M. and Kochut, K. (2008) Training-Less Ontology-Based Text Categorization. Proceedings of the ECIR Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR’08), Glasgow, 30 March 2008, 3-17.

[21]   Fayyad, U., Piatetsky-Shapiro, G. and Smyth, P. (1996) From Data Mining to Knowledge Discovery: An Overview. In: Fayyad, U., Piatetsky-Shapiro, G., Smyth, P. and Uthurusamy, R., Eds., Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, Cambridge.

[22]   Kitzinger, J. (1995) Qualitative Research. Introducing Focus Groups. British Medical Journal, 311, 299-302. http://dx.doi.org/10.1136/bmj.311.7000.299

[23]   Powell, R.A. and Single, H.M. (1996) Focus Groups. International Journal for Quality in Health Care, 8, 499-504. http://dx.doi.org/10.1093/intqhc/8.5.499

 
 
Top