Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Proceedings of the 27th International Conference on Very Large Data Bases
Automatic Discovery of Semantic Structures in HTML Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Proceedings of the 17th annual ACM symposium on User interface software and technology
Downloading textual hidden web content through keyword queries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Automation and customization of rendered web pages
Proceedings of the 18th annual ACM symposium on User interface software and technology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Summarizing personal web browsing sessions
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Enabling web browsers to augment web sites' filtering and sorting functionalities
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Greasemonkey Hacks: Tips & Tools for Remixing the Web with Firefox (Hacks)
Greasemonkey Hacks: Tips & Tools for Remixing the Web with Firefox (Hacks)
Building data integration queries by demonstration
Proceedings of the 12th international conference on Intelligent user interfaces
KnowItNow: fast, scalable information extraction from the web
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Koala: capture, share, automate, personalize business processes on the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Making mashups with marmite: towards end-user programming for the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Programming by a sample: rapidly creating web applications with d.mix
Proceedings of the 20th annual ACM symposium on User interface software and technology
Yahoo! pipes
Methods for domain-independent information extraction from the web: an experimental comparison
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
End-user programming of mashups with vegemite
Proceedings of the 14th international conference on Intelligent user interfaces
Context-based page unit recommendation for web-based sensemaking tasks
Proceedings of the 14th international conference on Intelligent user interfaces
Attaching UI enhancements to websites with end users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining web interactions to automatically create mash-ups
Proceedings of the 22nd annual ACM symposium on User interface software and technology
No Code Required: Giving Users Tools to Transform the Web
No Code Required: Giving Users Tools to Transform the Web
OXPath: little language, little memory, great value
Proceedings of the 20th international conference companion on World wide web
The OXPath to success in the deep web
Proceedings of the 20th international conference companion on World wide web
OXPath: A language for scalable data extraction, automation, and crawling on the deep web
The VLDB Journal — The International Journal on Very Large Data Bases
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A wealth of structured, publicly-available information exists in the deep web but is only accessible by querying web forms. As a result, users are restricted by the interfaces provided and lack a convenient mechanism to express novel and independent extractions and queries on the underlying data. Transcendence enables personalized access to the deep web by enabling users to partially reconstruct web databases in order to perform new types of queries. From just a few examples, Transcendence helps users produce a large number of values for form input fields by using unsupervised information extraction and collaborative filtering of user suggestions. Structural and semantic analysis of returned pages finds individual results and identifies relevant fields. Users may revise automated decisions, balancing the power of automation with the errors it can introduce. In a user evaluation, both programmers and non-programmers found Transcendence to be a powerful way to explore deep web resources and wanted to use it in the future.