Understanding Web query interfaces: best-effort parsing with hidden syntax
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Learning to extract form labels
Proceedings of the VLDB Endowment
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
Supporting users tasks with personal information management and web forms augmentation
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Understanding query interfaces by statistical parsing
ACM Transactions on the Web (TWEB)
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Web forms are the interfaces of the deep web. Though modern web browsers provide facilities to assist in form filling, this assistance is limited to prior form fillings or keyword matching. Automatic form understanding enables a broad range of applications, including crawlers, meta-search engines, and usability and accessibility support for enhanced web browsing. In this demonstration, we use a novel form understanding approach, OPAL, to assist in form filling even for complex, previously unknown forms. OPAL associates form labels to fields by analyzing structural properties in the HTML encoding and visual features of the page rendering. OPAL interprets this labeling and classifies the fields according to a given domain ontology. The combination of these two properties, allows OPAL to deal effectively with many forms outside of the grasp of existing form filling techniques. In the UK real estate domain, OPAL achieves 99% accuracy in form understanding.