Towards an Intelligent Framework to Understand and Feed the Web

1. Mulpuru, S., Harteveldt, H.H., Roberge, D.: Five retail ecommerce trends to watch in 2011. Forrester Research Report (2011)

   Google Scholar 

2. Hendler, J., Shadbolt, N., Hall, W., Berners-Lee, T., Weitzner, D.: Web science: an interdisciplinary approach to understanding the web. Commun. ACM 51(7), 60–69 (2008)

   Article  Google Scholar 

3. Kleinberg, J.M., Kumar, R., Raghavan, P., Rajagopalan, S., Tomkins, A.S.: The Web as a Graph: Measurements, Models, and Methods. In: Asano, T., Imai, H., Lee, D.T., Nakano, S.-i., Tokuyama, T. (eds.) COCOON 1999. LNCS, vol. 1627, pp. 1–17. Springer, Heidelberg (1999)

   Chapter  Google Scholar 

4. Leskovec, J., Kleinberg, J., Faloutsos, C.: Graph evolution: Densification and shrinking diameters. ACM TKDD 1(1) (2007)

   Google Scholar 

5. Bringmann, B., Berlingerio, M., Bonchi, F., Gionis, A.: Learning and predicting the evolution of social networks. IEEE Intelligent Systems 25, 26–35 (2010)

   Article  Google Scholar 

6. Leskovec, J., Backstrom, L., Kleinberg, J.: Meme-tracking and the dynamics of the news cycle. In: Proc. KDD 2009, pp. 497–506 (2009)

   Google Scholar 

7. Yang, J., Leskovec, J.: Patterns of temporal variation in online media. In: Proc. WSDM 2011, pp. 177–186 (2011)

   Google Scholar 

8. Berendt, B.: Text mining for news and blogs analysis. In: Encyclopedia of Machine Learning, pp. 968–972. Springer (2010)

   Google Scholar 

9. Ehrig, H., Ehrig, K., Prange, U., Taentzer, G.: Fundamental theory for typed attributed graphs and graph transformation based on adhesive HLR categories. Fundam. Inf. 74, 31–61 (2006)

   Google Scholar 

10. Heckel, R., Lajios, G., Menge, S.: Stochastic graph transformation systems. Fundam. Inf. 74, 63–84 (2006)

    Google Scholar 

11. Jin, Y., Decker, S., Wiederhold, G.: Ontowebber: Model-driven ontology-based web site management. In: Semantic Web Working Symposium, SWWS (2001)

    Google Scholar 

12. Sheth, A., Bertram, C., Avant, D., Hammond, B., Kochut, K., Warke, Y.: Managing semantic content for the web. IEEE Internet Computing 6(4), 80–87 (2002)

    Article  Google Scholar 

13. Kobilarov, G., Scott, T., Raimond, Y., Oliver, S., Sizemore, C., Smethurst, M., Bizer, C., Lee, R.: Media Meets Semantic Web – How the BBC Uses DBpedia and Linked Data to Make Connections. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 723–737. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

14. Bishop, B., Kiryakov, A., Ognyanoff, D., Peikov, I., Tashev, Z., Velkov, R.: Owlim: A family of scalable semantic repositories. Education 2(1), 33–42 (2011)

    Google Scholar 

15. Kirtis, A.K., Karahan, F.: To be or not to be in social media arena as the most cost-efficient marketing strategy after the global recession. Procedia - Social and Behavioral Sciences 24, 260–268 (2011); The Proceedings of 7th International Strategic Management Conference

    Article  Google Scholar 

16. Mangold, W.G., Faulds, D.J.: Social media: The new hybrid element of the promotion mix. Business Horizons 52(4), 357–365 (2009)

    Article  Google Scholar 

17. Weinberg, B.D., Pehlivan, E.: Social spending: Managing the social media mix. Business Horizons 54(3), 275–282 (2011)

    Article  Google Scholar 

18. Fotis, J., Buhalis, D., Rossides, N.: Social media impact on holiday travel planning: The case of the russian and the fsu markets. International Journal of Online Marketing (IJOM) 1, 1–19 (2011)

    Article  Google Scholar 

19. Piazzi, R., Baggio, R., Neidhardt, J., Werthner, H.: Destinations and the web: a network analysis view. Information Technology & Tourism 13(3) (2011)

    Google Scholar 

20. Bauereiss, T., Leiter, B., Fensel, D.: Effective and efficient online communication. Technical report, STI Innsbruck, Innsbruck (2011)

    Google Scholar 

Download references