QUICK: expressive and flexible search over knowledge bases and text collections

Authors:
Jeffrey Pound;Ihab F. Ilyas;Grant Weddell
Affiliations:
University of Waterloo, Waterloo, Canada;University of Waterloo, Waterloo, Canada;University of Waterloo, Waterloo, Canada
Venue:
Proceedings of the VLDB Endowment
Year:
2010

Citing 3
Cited 1

Yago: a core of semantic knowledge

Proceedings of the 16th international conference on World Wide Web
WebTables: exploring the power of tables on the web

Proceedings of the VLDB Endowment
Expressive and flexible access to web-extracted data: a keyword-based structured query language

Proceedings of the 2010 ACM SIGMOD International Conference on Management of data

QUASAR: querying annotation, structure, and reasoning

Proceedings of the 15th International Conference on Extending Database Technology

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Abstract

Recent work on Web-extracted data sets has produced an interesting new source of structured Web data. These data sets can be viewed as knowledge bases (KB) -- large heterogeneous linked entity collections with millions of unique edge and node labels, often encoding rich semantic information over entities. For example, YAGO [5] and ExDB [2] have fact collections numbering in the tens and hundreds of millions respectfully, and WebTables [1] contains over one hundred million extracted relations. In terms of schema information, the ExDB, YAGO, and WebTables data sets all have schema items numbering in the millions.