Toward best-effort information extraction

Proceedings of the ACM SIGMOD International Conference on Management of Data

Volumn , Issue , 2008, Pages 1031-1042

  Shen, Warren ^a   DeRose, Pedro ^a   McCann, Robert ^b   Doan, AnHai ^a   Ramakrishnan, Raghu ^c  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b MICROSOFT   (United States)

^c YAHOO RESEARCH   (United States)

Author keywords

Experimentation; Languages

Indexed keywords

APPLICATIONS.; APPROXIMATE QUERIES; APPROXIMATE RESULTS; DECLARATIVE LANGUAGES; DO-MAINS; EXPERIMENTATION; INFORMATION EXTRACTIONS; LANGUAGES; LONG TIMES;

INFORMATION ANALYSIS; INFORMATION THEORY; LINGUISTICS; QUERY LANGUAGES; REFINING; STRUCTURED PROGRAMMING;

PROGRAM DEBUGGING;

EID: 57149134507     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1376616.1376718     Document Type: Conference Paper

References (21)

1. E. Agichtcin and S. Sarawagi. Scalable information extraction and integration. In KDD-06.
2. L. Antova, T. Jansen, C. Koch, and D. Olteanu. Fast and simple relational processing of uncertain data. In ICDE-08.
3. O. Benjelloun, A. D. Sarma. A. Halevy, and J. Widom. ULDBs: Databases with uncertainty and lineage. In VLDB-06.
4. S. Cliaudhuri, G. Das, and V. R. Narasayya. Optimized stratified sampling for approximate query processing. ACM Trans. Database Syst., 32(2):9, 2007.
5. H. Cunningham, D. Maynard, K. Bontchcva, and V. Tablan. GATE: A framework and graphical development environment for robust NLP tools and applications. In ACL-2002.
6. N. Dalvi and D. Suciu. Answering queries from statistics and probabilistic views. In VLDB-05.
7. P. DeRose, W. Shen. F. Chen, A. Doan. and R. Ramakrishnan. Building structured Web data portals: a top-down, compositional, and incremental approach. In VLDB-07.
8. Y. Ding, D. W. Embley, and S. W. Liddle. Automatic creation and simplified querying of semantic Web content: An approach based on information-extraction ontologies. In ASWC-06.
9. Y. Ding, D. W. Embley, and S. W. Liddle. Enriching OWL with instance recognition semantics for automated semantic annotation. In ER Workshops, 2007.
10. A. Doan. Best-effort data integration (position statement). In NSF/EPA/ONR/NARA/AHRQ/NCO Workshop on Data Integration, 2006.
11. A. Doan. R. Ramakrishnan, and S. Vaithyanathan. Managing information extraction: State of the art and research directions. In SIGMOD-06.
12. D. Ferrucci and A. Lally. UIMA: An architectural approach to unstructured information processing in the corporate research environment. Nat. Lang. Eng., 10(3-4):327-348, 2004.
13. G. Gottlob, C. Koch, R. Baumgartner, M. Herzog, and S. Flcsca. The Lixto data extraction project: Back and forth between theory and practice. In PODS-O4.
14. R. Gupta and S. Sarawagi. Creating probabilistic databases from information extraction models. In VLDB-06.
15. J. M. Hellerstein. R. Avnur, A. Chou, C. Hidber, C. Olston, V. Raman. T. Roth, and P. J. Haas. Interactive data analysis: The CONTROL project. Computer, 32(8):51-59, 1999.
16. S. Jeffery. M. Franklin, and A. Halevy. Pay-as-you-go user feedback for dataspacc systems. In SIGMOD-08.
17. R. McCann. "Efficient data integration: Automation, collaboration, and relaxation," Ph.D. dissertation, University of Illinois, Urbaua-Champaign, 2007. [Online]. Available: http://dblife.cs.wise.edu/ people/mccann/papers/phd-thesis.pdf
18. B. Roscnfeld and R. Feldman. High-performance unsupervised relation extraction from large corpora. In ICDM-06.
19. A. D. Sarma, O. Benjelloun, A. Y. Halevy, and J. Widom. Working models for uncertain data. In ICDE-06.
20. W. Shen, P. DeRose, R. McCann, R. Ramakrishnan, and A. Doan. Towards best-effort information extraction. Technical report, 2008.
21. W. Shen, A. Doan, J. F. Naughton, and R. Ramakrishnan. Declarative information extraction using datalog with embedded extraction predicates. In VLDB-07.