A framework for automatic annotation of web pages using the Google rich snippets vocabulary

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2011, Pages 765-772

  Van Der Meer, Jeroen ^a   Boon, Ferry ^a   Hogenboom, Frederik ^a   Frasincar, Flavius ^a   Kaymak, Uzay ^a  

^a ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

Author keywords

annotation; google rich snippets; information extraction; RDFa

Indexed keywords

ANNOTATION; AUTOMATIC ANNOTATION; GOOGLE RICH SNIPPETS; HOT SPOT; INFORMATION EXTRACTION; LATEST DEVELOPMENT; RDFA; SEARCH RESULTS; WEB PAGE;

INFORMATION ANALYSIS; SEMANTICS; USER INTERFACES; WEBSITES;

SEMANTIC WEB;

EID: 79959302364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1982185.1982352     Document Type: Conference Paper

References (18)

1. A. Arasu and H. Garcia-Molina. Extracting Structured Data from Web Pages. In 2003 ACM SIGMOD International Conference on Management of Data (SIGMOD 2003), pages 337-348. ACM, 2003.
2. L. Barbosa, R. Kumar, B. Pang, and A. Tomkins. For a Few Dollars Less: Identifying Review Pages Sans Human Labels. In Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2009), pages 494-502. ACL, 2009.
3. E. Boiy, P. Hens, K. Deschacht, and M.-F. Moens. Automatic Sentiment Analysis in On-line Text. In 11th International Conference on Electronic Publishing (ELPUB 2007), pages 349-360, 2007.
4. C.-H. Chang, M. Kayed, M. R. Girgis, and K. F. Shaalan. A Survey of Web Information Extraction Systems. IEEE Transactions on Knowledge and Data Engineering, 18(10):1411-1428, 2006.
5. V. Crescenzi, G. Mecca, and P. Merialdo. RoadRunner: Towards Automatic Data Extraction from Large Web Sites. In 27th International Conference on Very Large Data Bases (VLDB 2001), pages 109-118. Morgan Kaufmann Publishers Inc., 2001.
6. M. Hu and B. Liu. Mining and Summarizing Customer Reviews. In 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004), pages 168-177. ACM, 2004.
7. M. Hu and B. Liu. Mining Opinion Features in Customer Reviews. In 19th National Conference on Artificial Intelligence (AAAI 2004), pages 755-760. AAAI Press / The MIT Press, 2004.
8. R. Khare and T. Çelik. Microformats: A Pragmatic Path to the Semantic Web. In 15th International World Wide Web Conference (WWW 2006), pages 865-866. ACM, 2006.
9. B. Liu, R. Grossman, and Y. Zhai. Mining Data Records in Web Pages. In 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2003), pages 601-606. ACM, 2003.
10. B. Liu, M. Hu, and J. Cheng. Opinion Observer: Analyzing and Comparing Opinions on the Web. In 14th International World Wide Web Conference (WWW 2005), pages 342-351. ACM, 2005.
11. A. Mikheev, M. Moens, and C. Grover. Named Entity Recognition without Gazetteers. In 9th Conference of the European Chapter of the Association for Computational Linguistics (ACL 1999), pages 1-8. ACL, 1999.
12. B. Pang and L. Lee. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization based on Minimum Cuts. In 42nd Annual Meeting on Association for Computational Linguistics (ACL 2004), pages 271-278. ACL, 2004.
13. T. Poibeau and D. Dutoit. Generating Extraction Patterns from a Large Semantic Network and an Untagged Corpus. In SEMANET: Building and Using Semantic Networks Workshop collocated with the 19th International Conference on Computational linguistics (COLING 2002), pages 1-7. ACL, 2002.
14. L. Ratinov and D. Roth. Design Challenges and Misconceptions in Named Entity Recognition. In 13th Conference on Computational Natural Language Learning (CoNLL 2009), pages 147-155. ACL, 2009.
15. SourceForge.net. JTidy. http://jtidy.sourceforge.net/, 2010.
16. Thomson Reuters. OpenCalais. http://www.opencalais.com/, 2010.
17. J. Wang and F. H. Lochovsky. Data Extraction and Label Assignment for Web Databases. In 12th International World Wide Web Conference (WWW 2003), pages 187-196. ACM, 2003.
18. J. Wiebe, T. Wilson, R. Bruce, M. Bell, and M. Martin. Learning Subjective Language. Computational Linguistics, 30(3):277-308, 2004. (Pubitemid 41461901)