Efficient Web form entry on PDAs
Proceedings of the 10th international conference on World Wide Web
Efficient Web form entry on PDAs
Proceedings of the 10th international conference on World Wide Web
Proceedings of the 27th International Conference on Very Large Data Bases
Understanding Web query interfaces: best-effort parsing with hidden syntax
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Schema Matching Using Duplicates
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Combining classifiers to identify online databases
Proceedings of the 16th international conference on World Wide Web
Data management projects at Google
ACM SIGMOD Record
Random sampling from a search engine's index
Journal of the ACM (JACM)
Learning to extract form labels
Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment
ACM Computing Surveys (CSUR)
HDSampler: revealing data behind web form interfaces
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
An empirical study on using hidden markov model for search interface segmentation
Proceedings of the 18th ACM conference on Information and knowledge management
A hierarchical approach to model web query interfaces for web source integration
Proceedings of the VLDB Endowment
Understanding deep web search interfaces: a survey
ACM SIGMOD Record
Real understanding of real estate forms
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
DIADEM: domain-centric, intelligent, automated data extraction methodology
Proceedings of the 21st international conference companion on World Wide Web
Understanding query interfaces by statistical parsing
ACM Transactions on the Web (TWEB)
Web object identification for web automation and meta-search
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Answer set programming: language, applications and development tools
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
The ontological key: automatically understanding and integrating forms to access the deep Web
The VLDB Journal — The International Journal on Very Large Data Bases
Formal concept analysis approach for data extraction from a limited deep web database
Journal of Intelligent Information Systems
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Forms are our gates to the web. They enable us to access the deep content of web sites. Automatic form understanding unlocks this content for applications ranging from crawlers to meta-search engines and is essential for improving usability and accessibility of the web. Form understanding has received surprisingly little attention other than as component in specific applications such as crawlers. No comprehensive approach to form understanding exists and previous works disagree even in the definition of the problem. In this paper, we present OPAL, the first comprehensive approach to form understanding. We identify form labeling and form interpretation as the two main tasks involved in form understanding. On both problems OPAL pushes the state of the art: For form labeling, it combines signals from the text, structure, and visual rendering of a web page, yielding robust characterisations of common design patterns. In extensive experiments on the ICQ and TEL-8 benchmarks and a set of 200 modern web forms OPAL outperforms previous approaches by a significant margin. For form interpretation, we introduce a template language to describe frequent form patterns. These two parts of OPAL combined yield form understanding with near perfect accuracy ( 98%).