ColumbuScout: towards building local search engines over large databases
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
STRUCT: incorporating contextual information for English query search on relational databases
KEYS '12 Proceedings of the Third International Workshop on Keyword Search on Structured Data
Exploiting and Maintaining Materialized Views for XML Keyword Queries
ACM Transactions on Internet Technology (TOIT)
Leveraging the storage layer to support XML similarity joins in XDBMSs
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
Efficient and Effective Aggregate Keyword Search on Relational Databases
International Journal of Data Warehousing and Mining
Database Keyword Search: A Perspective from Optimization
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Exploiting structures in keyword queries for effective XML search
Information Sciences: an International Journal
Top-down keyword query processing on XML data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Efficient query processing for XML keyword queries based on the IDList index
The VLDB Journal — The International Journal on Very Large Data Bases
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Empowering users to access databases using simple keywords can relieve users from the steep learning curve of mastering a structured query language and understanding complex and possibly fast-evolving data schemas. In this tutorial, we give an overview of the state-of-the-art techniques for supporting keyword-based search and exploration on databases. Several topics will be discussed, including query result definition, ranking functions, result generation and top-k query processing, snippet generation, result clustering, result comparison, query cleaning and suggestion, performance optimization, and search quality evaluation. Various data models will be discussed, including relational data, XML data, graph-structured data, data streams, and workflows. Finally we identify the challenges and opportunities for future research to advance the field.