Skip to main content
Have a personal or library account? Click to login
Efficient Emergency Event Tracking Using Features of Web Data Cover

Efficient Emergency Event Tracking Using Features of Web Data

Cybernetics and Information Technologies
Volume 15 (2015): Issue 3 (September 2015)
By: ,  ,   and    
Open Access
|Oct 2015
References

References

  1. 1. Emilio, F., D. M. Pasquale, F. Giacomo, B. Robert. Web Data Extraction, Applications and Techniques: A Survey. – Knowledge-Based Systems, Vol., 2014, pp. 301-323.
    Open DOISearch in Google Scholar
  2. 2. Gottlob, G., C. Koch. Monadic Datalog and the Expressive Power of Languages for Web Information Extraction. – Journal of the ACM, Vol., 2004, No 1, pp. 74-113.
    Open DOISearch in Google Scholar
  3. 3. Doan, A., J. Naughton, R. Ramakrishnan, A. Baid, X. Chai et al. Information Extraction Challenges in Managing Unstructured Data. – ACM SIGMOD Record, Vol., 2009, No 4, pp. 14-20.
    Open DOISearch in Google Scholar
  4. 4. Chen, H., M. Chau, D. Zeng. Ci Spider: A Tool for Competitive Intelligence on the Web. – Decision Support Systems, Vol., 2002, No 1, pp. 1-17.
    Open DOISearch in Google Scholar
  5. 5. Song, X., Q. S. Zhang, Y. Sekimoto, R. Shibasaki. Prediction of Human Emergency Behavior and Their Mobility Following Large-Scale Disaster. – In: Proc. of 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 24-27 August 2014, pp. 5-14.
    Open DOISearch in Google Scholar
  6. 6. Crescenzi, V., G. Mecca. Automatic Information Extraction from Large Websites. – Journal of the ACM, Vol., 2004, No 5, pp. 731-779.
    Open DOISearch in Google Scholar
  7. 7. Chen, W., C. Chen, L. Zhang, C. Wang, J. Bu. Online Detection of Bursty Events and Their Evolution in News Streams. – Journal of Zhejiang University, Vol., 2010, No 5, pp. 340-355.
    Open DOISearch in Google Scholar
  8. 8. Baumgartner, R., G. Gottlob, M. Herzog. Scalable Web Data Extraction for Online Market Intelligence. – In: Proc. of 35th International Conference on Very Large Data Bases (VLDB), 24-28 August 2009, pp. 1512-1523.
    Open DOISearch in Google Scholar
  9. 9. Juan, D. V. Web Mining and Privacy Concerns: Some Important Legal Issues to be Consider before Applying Any Data and Information Extraction Technique in Web-Based Environments. – Expert Systems with Applications, Vol., 2013, Issue 13, pp. 5228-5239.
    Open DOISearch in Google Scholar
  10. 10. Chen, W., P. Chundi. Extracting Hot Spots of Topics from Time-Stamped Documents. – Data & Knowledge Engineering, Vol., 2011, Issue 7, pp. 642-660.
    Open DOISearch in Google Scholar
  11. 11. Zhang, K., J. Z. Li, G. Wu, K.S. Wang. Term Committee-Based Event Identification within Topics. – Journal of Computer Research and Development, Vol., 2009, No 4, pp. 817-828.
    Search in Google Scholar
  12. 12. Ferrara, E., R. Baumgartner. Automatic Wrapper Adaptation by Tree Edit Distance Matching. – Combinations of Intelligent Methods and Applications, Vol., 2011, pp. 41-54.
    Open DOISearch in Google Scholar
  13. 13. Krüpl-Sypien, B., R. R. Fayzrakhmanov, W. Holzinger, M. Panzenböck, R. Baumgartner. A Versatile Model for Web Page Representation, Information Extraction and Content Repackaging. – In: Proc. of 2011 International Conference on ACM Symposium on Document Engineering, 19-22 September 2011, pp. 129-138.
    Open DOISearch in Google Scholar
  14. 14. Laender, A. H. F., B. A. Ribeiro-Neto, A. S. D. Silva, J. S. Teixeira. A Brief Survey of Web Data Extraction Tools. – SIGMOD Record, Vol., 2002, No 2, pp. 84-93.
    Open DOISearch in Google Scholar
  15. 15. He, Z. X., X. Y. Zhao, S. Y. Zhang, T. Ogawa, M. Haseyama. Random Combination for Information Extraction in Compressed Sensing and Sparse Representation-Based Pattern Recognition. – Neurocomputing, Vol., 2014, pp. 160-173.
    Open DOISearch in Google Scholar
  16. 16. Chang, C., M. Kayed, M. Girgis, K. Shaalan. A Survey of Web Information Extraction Systems. – IEEE Transactions on Knowledge and Data Engineering, Vol., 2006, No 10, pp. 1411-1428.
    Open DOISearch in Google Scholar
  17. 17. Fiumara, G. Automated Information Extraction from Web Sources: A Survey. – In: Proc. of Workshop on between Ontologies and Folksonomies: Tools and Architectures for Managing and Retrieving Emerging Knowledge in Communities (BOF), 28 June 2007, pp. 1-9.
    Search in Google Scholar
  18. 18. Flesca, S., G. Manco, E. Masciari, E. Rende, A. Tagarelli. Web Wrapper Induction: A Brief Survey. – AI Communications, Vol., 2004, No 2, pp. 57-61.
    Search in Google Scholar
  19. 19. Sarawagi, S. Information Extraction, Found. – Trends Databases, Vol., 2008, No 3, pp. 261-377.
    Open DOISearch in Google Scholar
  20. 20. Martinez, D., G. Pitson, A. MacKinlay, L. Cavedon. Cross-Hospital Portability of Information Extraction of Cancer Staging Information. – Artificial Intelligence in Medicine, Vol., 2014, No 1, pp. 11-21.
    Open DOISearch in Google Scholar
  21. 21. Ittoo, A., G. Bouma. Minimally-Supervised Extraction of Domain-Specific Part-Whole Relations Using Wikipedia as Knowledge-Base. – Data & Knowledge Engineering, Vol., 2013, pp. 57-79.
    Open DOISearch in Google Scholar
  22. 22. Ferrara, E. A Large-Scale Community Structure Analysis in Facebook. – EPJ Data Science, Vol., 2012, No 9, pp. 1-30.
    Open DOISearch in Google Scholar
  23. 23. Jiang, W., C. L. Zhao, S. H. Li, C. Lawson. A New Learning Automata Based Approach for Online Tracking of Event Patterns. – Neurocomputing, Vol., 2014, pp. 205-211.
    Open DOISearch in Google Scholar
  24. 24. Kleinberg, J. M. Bursty and Hierarchical Structure in Streams. – Data Mining and Knowledge Discovery, Vol., 2003, No 4, pp. 373-397.
    Open DOISearch in Google Scholar
  25. 25. Guo, L. M., G. Y. Huang, Z. M. Ding. Efficient Detection of Emergency Event From Moving Object Data Streams. – In: Proc. of 19th International Conference on Database Systems for Advanced Applications (DASFAA), 21-24 April 2014, pp. 422-437.
    Open DOISearch in Google Scholar
  26. 26. Tong, Y. X., C. C. Cao, L. Chen. TCS: Efficient Topic Discovery over Crowd-Oriented Service Data. – In: Proc. of 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 24-27 August 2014, pp. 861-870.
    Open DOISearch in Google Scholar
  27. 27. Vieweg, S., A. L. Hughes, K. Starbird, L. Palen. Microblogging During Two Natural Hazards Events: What Twitter May Contribute to Situational Awareness. – In: Proc. of 28th International Conference on Human Factors in Computing Systems (CHI), 10-15 April 2010, pp. 1079-1088.
    Open DOISearch in Google Scholar
  28. 28. Chen, Y., X. M. Zhang, Z. J. Li, Ng. Jun-Ping. Search Engine Reinforced Semi-Supervised Classification and Graph-Based Summarization of Microblogs. – Neurocomputing, Vol., 2015, pp. 274-286.
    Open DOISearch in Google Scholar
  29. 29. Becker, H., M. Naaman, L. Gravano. Event Identification in Social Media. – In: Proc. of 12th International Workshop on the Web and Databases (WebDB), 28 June 2009, pp. 107-111.
    Search in Google Scholar
  30. 30. Pohl, D., A. Bouchachia, H. Hellwagner. Automatic SubEvent Detection in Emergency Management Using Social Media. – In: Proc. of 21st International Conference Companion on World Wide Web (WWW), 16-20 April 2012, pp. 683-686.
    Open DOISearch in Google Scholar
  31. 31. Strehl, J. G., C. Cardie. Cluster Ensembles – Knowledge Reuse Framework for Combining Multiple Partitions. – Journal of Machine Learning Research, Vol., 2002, pp. 583-617.
    Search in Google Scholar
  32. 32. Fung, G. P. C., J. X. Yu, P. S. Yu, H. Lu. Parameter Free Bursty Events Detection in Text Streams. – In: Proc. of 31st International Conference on Very Large Data Bases (VLDB), 30 August-2 September 2005, pp. 181-192.
    Search in Google Scholar
  33. 33. Liu, M. L., D. Q. Zheng, T. J. Zhao, Y. Yu. Dynamic Multi-Document Summarization Model. – Journal of Software, Vol., 2012, No 2, pp. 289-298.
    Open DOISearch in Google Scholar
  34. 34. Zhong, Z. M., C. H. Li, Z. T. Liu, H. W. Dai. Web News Oriented Event Multi-Elements Retrieval. – Journal of Software, Vol., 2013, No 10, pp. 2366-2378.
    Open DOISearch in Google Scholar
  35. 35. Wu, Q. H., J. H. Lv. EET: Efficient Event Tracking over Emergency-Oriented Web Data. – In: Proc. of International Joint Conference on Neural Networks (IJCNN), 12-17 July 2015, pp. 3666-3673.
    Search in Google Scholar
  36. 36. Rodrigo, A., A. Xabier, B. Zuhaitz, R. German, S. Aitor. Big Data for Natural Language Processing: A Streaming Approach. – Knowledge-Based Systems, Vol., 2015, pp. 36-42.
    Open DOISearch in Google Scholar
  37. 37. Aminul, I., I. Diana, K. Iluju. Applications of Corpus-Based Semantic Similarity and Word Segmentation to Database Schema Matching. – The VLDB Journal, Vol., 2008, Issue 5, pp. 1293-1320.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.1515/cait-2015-0042 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Journal RSS Feed
Language: English
Page range: 68 - 87
Published on: Oct 5, 2015
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Keywords:
Emergency event,
event tracking,
web data extraction,
clustering
Related subjects:
Computer sciences,
Information technology

© 2015 Qunhui Wu, Jianghua Lv, Hao Wang, Shilong Ma, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 15 (2015): Issue 3 (September 2015)
Previous article
Next article