What have fruits to do with technology? The case of orange, blackberry and apple

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages

  Yerva, Surender Reddy ^a   Miklós, Zoltán ^a   Aberer, Karl ^a  

^a EPFL   (Switzerland)

Author keywords

ambiguity estimation; entity profiles; entity resolution; Twitter classification; Twitter message stream; web mining

Indexed keywords

AMBIGUITY ESTIMATION; ENTITY PROFILES; ENTITY RESOLUTION; MESSAGE STREAMS; TWITTER CLASSIFICATION; WEB MINING;

DATA MINING; SEMANTIC WEB; SEMANTICS; SOCIAL NETWORKING (ONLINE); USER INTERFACES;

FRUITS;

EID: 79960602626     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1988688.1988745     Document Type: Conference Paper

References (21)

1. Dbpedia. http://dbpedia.org/.
2. Linked data. http://linkeddata.org/.
3. Wordnet. http://wordnet.princeton.edu/.
4. Enrique Amigó, Javier Artiles, Julio Gonzalo, Damiano Spina, Bing Liu, and Adolfo Corujo. Weps3 evaluation campaign: Overview of the on-line reputation management task. In Martin Braschler, Donna Harman, and Emanuele Pianta, editors, CLEF (Notebook Papers/LABs/Workshops), 2010.
5. Ron Bekkerman and Andrew McCallum. Disambiguating Web appearances of people in a social network. In Proceedings of the 14th international conference on World Wide Web, pages 463-470, 2005.
6. Christopher M. Bishop. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2006.
7. Zhaoqi Chen, Dmitri V. Kalashnikov, and Sharad Mehrotra. Exploiting context analysis for combining multiple entity resolution systems. In Proceedings of the 35th SIGMOD international conference on Management of data, pages 207-218, 2009.
8. Sungha Choi, Byungwoo Lee, and Jihoon Yang. Ensembles of region based classifiers. In CIT '07: Proceedings of the 7th IEEE International Conference on Computer and Information Technology, pages 41-46, Washington, DC, USA, 2007. IEEE Computer Society.
9. David Heckerman. A tutorial on learning with bayesian networks. Technical report, Learning in Graphical Models, 1996.
10. B.J. Jansen, M. Zhang, K. Sobel, and A. Chowdury. Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology, 2009.
11. Dmitri V. Kalashnikov, Zhaoqi Chen, Sharad Mehrotra, and Rabia Nuray-Turan. Web People Search via Connection Analysis. IEEE Transactions on Knowledge and Data Engineering , 20(11):1550-1565, November 2008.
12. Sang-Bum Kim, Hae-Chang Rim, DongSuk Yook, and Heui-Seok Lim. Effective methods for improving naive bayes text classifiers. In Mitsuru Ishizuka and Abdul Sattar, editors, PRICAI 2002: Trends in Artificial Intelligence, volume 2417 of Lecture Notes in Computer Science, pages 479-484. Springer Berlin / Heidelberg, 2002.
13. David D. Lewis. Naive (bayes) at forty: The independence assumption in information retrieval. pages 4-15. Springer Verlag, 1998.
14. Zoltán Miklós, Nicolas Bonvin, Paolo Bouquet, Michele Catasta, Daniele Cordioli, Peter Fankhauser, Julien Gaugaz, Ekaterini Ioannou, Hristo Koshutanski, Antonio Mana, Claudia Niederée, Themis Palpanas, and Heiko Stoermer. From Web Data to Entities and Back. In The 22nd International Conference on Advanced Information Systems Engineering (CAiSE'10), volume 6051 of LNCS, pages 302-316. Springer, 2010.
15. Alexander Pak and Patrick Paroubek. Twitter as a corpus for sentiment analysis and opinion mining. In Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10), Valletta, Malta, May 2010. European Language Resources Association (ELRA).
16. Jagan Sankaranarayanan, Hanan Samet, Benjamin E. Teitler, Michael D. Lieberman, and Jon Sperling. Twitterstand: news in tweets. In GIS '09: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 42-51, New York, NY, USA, 2009. ACM.
17. Bharath Sriram, David Fuhry, Enngin Demir, Hakan Ferhatosmanoglu, and Murat Demirbas. Short text classification in twitter to improve information filtering. In Proceedings of the ACM SIGIR 2010 Posters and Demos. ACM, 2010.
18. Bilyana Taneva, Mouna Kacimi, and Gerhard Weikum. Gathering and ranking photos of named entities with high precision, high recall, and diversity. In Brian D. Davison, Torsten Suel, Nick Craswell, and Bing Liu, editors, WSDM, pages 431-440. ACM, 2010.
19. Qiong Yang, Xiaoqing Ding, and Xiaoou Tang. Incorporating generic learning to design discriminative classifier adaptable for unknown subject in face verification. Computer Vision and Pattern Recognition Workshop, 0:32, 2006.
20. Surender Reddy Yerva, Zoltán Miklós, and Karl Aberer. Towards better entity resolution techniques for Web document collections. In 1st International Workshop on Data Engineering meets the Semantic Web (DESWeb'2010) (co-located with ICDE'2010), 2010.
21. Surender Reddy Yerva, Zoltán Miklós, and Karl Aberer. It was easy, when apples and blackberries were only fruits. Padua, Italy, 2010. WePS-3, colocated with CLEF.