{5} D. W. Embley, D. M. Campbell, Y. S. Jiang, S. W. Liddle, Y. Ng, D. Quass, and R. D. Smith A conceptual-modeling approach to extracting data from the web. In ER'98.

Digital Library

Google Scholar

[6]

{6} E. M. Gold. Language identification in the limit. Information and Control, 10(5), 1967.

Google Scholar

[7]

{7} E. M. Gold. Complexity of automation identification from given data. Information and Control, 37(3), 1978.

Google Scholar

[8]

{8} S. Grumbach and G. Mecca. In search of the lost schema. In ICDT'99.

Google Scholar

[9]

{9} J. Hammer, H. Garcia-Molina, J. Cho, R. Aranha, and A. Crespo. Extracting semistructured information from the Web. In Proc. of the Workshop on the Management of Semistructured Data, 1997.

Google Scholar

[10]

{10} C. Hsu and M. Dung. Generating finite-state transducers for semistructured data extraction from the web. Information Systems, 23(8), 1998.

Digital Library

Google Scholar

[11]

{11} G. Huck, P. Frankhauser, K. Aberer, and E. J. Neuhold. Jedi: Extracting and synthesizing information from the web. In CoopIS'98.

Digital Library

Google Scholar

[12]

{12} N. Kushmerick. Wrapper induction: Efficiency and expressiveness. Artificial Intelligence, 118, 2000.

Digital Library

Google Scholar

[13]

{13} N. Kushmerick, D. S. Weld, and R. Doorenbos. Wrapper induction for information extraction. In IJCAI'97.

Google Scholar

[14]

{14} I. Muslea, S. Minton, and C. A. Knoblock. A hierarchical approach to wrapper induction. In Proc. of Autonomous Agents, 1999.

Digital Library

Google Scholar

[15]

{15} L. Pitt. Inductive inference, DFAs and computational complexity. In K. P. Jantke, editor, Analogical and Inductive Inference, Lecture Notes in AI 397. Springer-Verlag, Berlin, 1989.

Digital Library

Google Scholar

[16]

{16} B. A. Ribeiro-Neto, A. Laender, and A. Soares da Silva. Extracting semistructured data through examples. In CIKM'99.

Digital Library

Google Scholar

[17]

{17} A. Sahuguet and F. Azavant. Web ecology: Recycling HTML pages as XML documents using W4F. In WebDB'99.

Google Scholar

[18]

{18} S. Soderland. Learning information extraction rules for semistructured and free text. Machine Learning, 34(1-3), 1999.

Digital Library

Google Scholar

[19]

{19} P. H. Winston. Artificial Intelligence. Addison-Wesley, 1979.

Digital Library

Google Scholar

Cited By

View all

Cetorelli VAtzeni PCrescenzi VMilicchio F(2021)The smallest extraction problemProceedings of the VLDB Endowment10.14778/3476249.347629314:11(2445-2458)Online publication date: 27-Oct-2021
https://dl.acm.org/doi/10.14778/3476249.3476293
Chen QLamoreaux AWang XDurrett GBastani ODillig IFreund SYahav E(2021)Web question answering with neurosymbolic program synthesisProceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation10.1145/3453483.3454047(328-343)Online publication date: 19-Jun-2021
https://dl.acm.org/doi/10.1145/3453483.3454047
Lin BSheng YVo NTata SGupta RLiu YShah MRajan STang JPrakash B(2020)FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web DocumentsProceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3394486.3403153(1092-1102)Online publication date: 23-Aug-2020
https://dl.acm.org/doi/10.1145/3394486.3403153
Show More Cited By

Recommendations

Programming the Linpack benchmark for Roadrunner

We describe the challenges and opportunities we encountered when developing a hybrid version of the Linpack benchmark for the Los Alamos National Laboratory Roadrunner supercomputing system, which combines traditional x86-64 host processors with IBM ...
369 Tflop-s molecular dynamics simulations on the petaflop hybrid supercomputer ‘Roadrunner’
Exploring the Frontiers of Computing Science and Technology: Adapting Emerging Multi-and Many-core Processors

We describe the implementation of a short-range parallel molecular dynamics (MD) code, SPaSM, on the heterogeneous general-purpose Roadrunner supercomputer. Each Roadrunner ‘TriBlade’ compute node consists of two AMD Opteron dual-core microprocessors ...
RoadRunner: automatic data extraction from data-intensive web sites
SIGMOD '02: Proceedings of the 2002 ACM SIGMOD international conference on Management of data

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

VLDB '01: Proceedings of the 27th International Conference on Very Large Data Bases

September 2001

709 pages

ISBN:1558608044

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 11 September 2001

Qualifiers

Article

Conference

VLDB01

VLDB01: 27th International Conference on Very Large Data Bases

September 11 - 14, 2001

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

264
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 11 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Cetorelli VAtzeni PCrescenzi VMilicchio F(2021)The smallest extraction problemProceedings of the VLDB Endowment10.14778/3476249.347629314:11(2445-2458)Online publication date: 27-Oct-2021
https://dl.acm.org/doi/10.14778/3476249.3476293
Chen QLamoreaux AWang XDurrett GBastani ODillig IFreund SYahav E(2021)Web question answering with neurosymbolic program synthesisProceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation10.1145/3453483.3454047(328-343)Online publication date: 19-Jun-2021
https://dl.acm.org/doi/10.1145/3453483.3454047
Lin BSheng YVo NTata SGupta RLiu YShah MRajan STang JPrakash B(2020)FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web DocumentsProceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3394486.3403153(1092-1102)Online publication date: 23-Aug-2020
https://dl.acm.org/doi/10.1145/3394486.3403153
Lloret-Gazo JHung CCerny TShin DBechini A(2020)A browserless architecture for extracting web pricesProceedings of the 35th Annual ACM Symposium on Applied Computing10.1145/3341105.3373850(2193-2200)Online publication date: 30-Mar-2020
https://dl.acm.org/doi/10.1145/3341105.3373850
Jung WShim Kd'Aquin MDietze SHauff CCurry ECudre Mauroux P(2020)T-REXProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412133(2073-2076)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1145/3340531.3412133
Sun YWang LXie QDong YLin X(2020)Online Programming Education Modeling and Knowledge TracingKnowledge Science, Engineering and Management10.1007/978-3-030-55130-8_23(259-270)Online publication date: 28-Aug-2020
https://dl.acm.org/doi/10.1007/978-3-030-55130-8_23
Sarkhel RNandi ABoncz PManegold SAilamaki ADeshpande AKraska T(2019)Visual Segmentation for Information Extraction from Heterogeneous Visually Rich DocumentsProceedings of the 2019 International Conference on Management of Data10.1145/3299869.3319867(247-262)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3299869.3319867
Lockard CDong XEinolghozati AShiralkar P(2018)CERESProceedings of the VLDB Endowment10.14778/3231751.323175811:10(1084-1096)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.14778/3231751.3231758
Yang JWittern EYing ADolby JTan LZaidman AKamei YHill E(2018)Towards extracting web API specifications from documentationProceedings of the 15th International Conference on Mining Software Repositories10.1145/3196398.3196411(454-464)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196398.3196411
Gao YHuang SParameswaran ADas GJermaine CBernstein P(2018)Navigating the Data Lake with DATAMARANProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3183746(943-958)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183713.3183746
Show More Cited By

Abstract

References

Cited By

Recommendations

Programming the Linpack benchmark for Roadrunner

369 Tflop-s molecular dynamics simulations on the petaflop hybrid supercomputer ‘Roadrunner’

RoadRunner: automatic data extraction from data-intensive web sites

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations