Automatic labeling of semantic roles
Computational Linguistics
An interactive clustering-based approach to integrating source query interfaces on the deep Web
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
DaNaLIX: a domain-adaptive natural language interface for querying XML
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Toward best-effort information extraction
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
WebTables: exploring the power of tables on the web
Proceedings of the VLDB Endowment
Keyword search on structured and semi-structured data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Learning semantic descriptions of web information sources
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Search User Interfaces
Towards rich query interpretation: walking back and forth for mining query templates
Proceedings of the 19th international conference on World wide web
Clustering query refinements by user intent
Proceedings of the 19th international conference on World wide web
Structured annotations of web queries
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Free-text search versus complex web forms
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Principles of Data Integration
Principles of Data Integration
Searching the deep web using proactive phrase queries
Proceedings of the 22nd international conference on World Wide Web companion
The deep web: woven to catch the middle ground
Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning
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In this era of "big data", a key challenge facing the database community is to help average users tap into the huge amounts of structured data on the Web. To address this challenge, we propose a novel proactive template-based engine for searching structured data on the Web using natural language. Departing from conventional search engines, the proposed engine organizes questions it can answer using templates and figures out ahead of time which sources can answer which templates and how. Then, at query time, the engine can simply match queries with the templates and retrieve answers using the pre-compiled evaluation plans. While attractive, building such an engine requires innovations in template creation, query evaluation, and system evolution. In this paper, we propose novel techniques to address these challenges.