Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 675234, 11 pages
http://dx.doi.org/10.1155/2014/675234
Research Article

Constructing Topic Models of Internet of Things for Information Processing

1The Institute of Intelligent Information Processing and Application, Soochow University, Suzhou 215006, China
2Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China
3State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China

Received 25 May 2014; Accepted 18 June 2014; Published 9 July 2014

Academic Editor: Juncheng Jia

Copyright © 2014 Jie Xin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Giusto, A. Iera, G. Morabito, and L. Atzori, Eds., The Internet of Things, Springer, New York, NY, USA, 2010.
  2. X. Liu, Y. Song, S. Liu, and H. Wang, “Automatic taxonomy construction from keywords,” in Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '12), pp. 1433–1441, 2012.
  3. Y. Zhang, F. Yang, Z. Xiong et al., “Study on context-based domain ontology concept extraction and relation extraction,” Application Research of Computers, vol. 1, article 023, 2010. View at Google Scholar
  4. E. Erosheva, S. Fienberg, and J. Lafferty, “Mixed-membership models of scientific publications,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 1, pp. 5220–5227, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. Q. Mei, D. Cai, D. Zhang et al., “Topic modeling with network regularization,” in Proceedings of the 17th International Conference on World Wide Web (WWW '08), pp. 101–110, 2008.
  6. D. M. Blei, A. Y. Ng, and M. I. Jordan, “Latent Dirichlet allocation,” Journal of Machine Learning Research, vol. 3, no. 4-5, pp. 993–1022, 2003. View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  7. T. Hofmann, “Probabilistic latent semantic indexing,” in Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '99), pp. 50–57, 1999.
  8. C. Sun, B. Gao, Z. Cao, and H. Li, “HTM: a topic model for hypertexts,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 514–522, October 2008. View at Scopus
  9. A. Mccallum, “Multi-label text classification with a mixture model trained by EM,” in Proceedings of the AAAI Workshop on Text Learning, 1999.
  10. M. Rosen-Zvi, T. Griffiths, M. Steyvers, and P. Smyth, “The author-topic model for authors and documents,” in Proceedings of the 20th Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI '04), pp. 487–494, AUAI Press, Arlington, Va, USA, 2004.
  11. R. Nallapati and W. W. Cohen, “Link-PLSA-LDA: a new unsupervised model for topics and influence of blogs,” in Proceedings of the International Conference on Weblogs and Social Media (ICWSM '08), 2008.
  12. C. Zhang, J. Sun, and Y. Ding, “Topic mining for microblog based on MB-LDA model,” Computer Research and Development, vol. 48, no. 10, pp. 1795–1802, 2011. View at Google Scholar · View at Scopus
  13. L. Dietz, S. Bickel, and T. Scheffer, “Unsupervised prediction of citation influences,” in Proceedings of the 24th International Conference on Machine Learning (ICML '07), pp. 233–240, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Tang, S. Wu, B. Gao, and Y. Wan, “Topic-level social network search,” in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '11), pp. 769–772, August 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Tang, B. Wang, Y. Yang et al., “PatentMiner: topic-driven patent analysis and mining,” in Proceedings of the 18th International Conference on Knowledge Discovery and Data Mining (KDD '12), pp. 1366–1374, August 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Wang, H. Wang, Z. Wang, and K. Q. Zhu, “Understanding tables on the web,” in Conceptual Modeling, pp. 141–155, Springer, Berlin, Germany, 2012. View at Google Scholar
  17. H. Kim, Y. Sun, J. Hockenmaier, and J. Han, “ETM: entity topic models for mining documents associated with entities,” in Proceedings of the 12th IEEE International Conference on Data Mining (ICDM '12), pp. 349–358, December 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Auer, C. Bizer, G. Kobilarov et al., “Dbpedia : a nucleus for a web of open data,” in The Semantic Web, pp. 722–735, Springer, Berlin, Germany, 2007. View at Google Scholar
  19. W. Wu, H. Li, H. Wang, and K. Q. Zhu, “Probase: a probabilistic taxonomy for text understanding,” in Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '12), pp. 481–492, Scottsdale, Ariz, USA, May 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. J. Graça, K. Ganchev, and B. Taskar, “Expectation maximization and posterior constraints,” in Advances in Neural Information Processing Systems, vol. 20, pp. 569–576, 2007. View at Google Scholar
  21. T. Minka and J. Lafferty, “Expectation-propagation for the generative aspect model,” in Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence, pp. 352–359, 2002.
  22. T. L. Griffiths and M. Steyvers, “Finding scientific topics,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 1, pp. 5228–5235, 2004. View at Publisher · View at Google Scholar · View at Scopus
  23. P. N. Mendes, M. Jakob, A. García-Silva, and C. Bizer, “DBpedia spotlight: shedding light on the web of documents,” in Proceedings of the 7th International Conference on Semantic Systems (I-SEMANTICS '11), pp. 1–8, September 2011. View at Publisher · View at Google Scholar · View at Scopus