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Article

NUITS: a novel user interface for efficient keyword search over databases

Published: 01 September 2006 Publication History

Abstract

The integration of database and information retrieval techniques provides users with a wide range of high quality services. We present a prototype system, called NUITS, for efficiently processing keyword queries on top of a relational database. Our NUITS allows users to issue simple keyword queries as well as advanced keyword queries with conditions. The efficiency of keyword query processing and the user-friendly result display will also be addressed in this paper.

References

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{3} V. Hristidis, L. Gravano, and Y. Papakonstantinou. Efficient IR-Style Keyword Search over Relational Databases. In Proc. of VLDB'03, 2003.
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{4} V. Kacholia, S. Pandit, S. Chakrabarti, S. Sudarshan, R. Desai, and H. Karambelkar. Bidirectional Expansion for Keyword Search on Graph Databases. In Proc. of VLDB'05, 2005.
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Cited By

View all
  • (2010)Multi-dimensional keyword-based image annotation and searchProceedings of the 2nd International Workshop on Keyword Search on Structured Data10.1145/1868366.1868371(1-6)Online publication date: 6-Jun-2010
  • (2009)Keyword search on structured and semi-structured dataProceedings of the 2009 ACM SIGMOD International Conference on Management of data10.1145/1559845.1559966(1005-1010)Online publication date: 29-Jun-2009
  • (2009)EasyKSORDProceedings of the International Conference on Web Information Systems and Mining10.1007/978-3-642-05250-7_40(373-382)Online publication date: 22-Nov-2009
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Conferences
VLDB '06: Proceedings of the 32nd international conference on Very large data bases
September 2006
1269 pages

Sponsors

  • SIGMOD: ACM Special Interest Group on Management of Data
  • K.I.S.S. SIG on Databases
  • AJU Information Technology Co., Ltd
  • US Army ITC-PAC Asian Research Office
  • Google Inc.
  • The Database Society of Japan
  • Samsung SOS
  • Advanced Information Technology Research Center
  • Naver
  • Microsoft: Microsoft
  • Korea Info Sci Society: Korea Information Science Society
  • SK telecom
  • Systems Applications Products
  • ORACLE: ORACLE
  • International Business Management
  • Air Force Office of Scientific Research/Asian Office of Aerospace R&D
  • Kosef
  • Kaist
  • LG Electronics
  • CCF-DBS

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VLDB Endowment

Publication History

Published: 01 September 2006

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Cited By

View all
  • (2010)Multi-dimensional keyword-based image annotation and searchProceedings of the 2nd International Workshop on Keyword Search on Structured Data10.1145/1868366.1868371(1-6)Online publication date: 6-Jun-2010
  • (2009)Keyword search on structured and semi-structured dataProceedings of the 2009 ACM SIGMOD International Conference on Management of data10.1145/1559845.1559966(1005-1010)Online publication date: 29-Jun-2009
  • (2009)EasyKSORDProceedings of the International Conference on Web Information Systems and Mining10.1007/978-3-642-05250-7_40(373-382)Online publication date: 22-Nov-2009
  • (2008)Keyword proximity search in complex data graphsProceedings of the 2008 ACM SIGMOD international conference on Management of data10.1145/1376616.1376708(927-940)Online publication date: 9-Jun-2008
  • (2008)Efficiently enumerating results of keyword search over data graphsInformation Systems10.1016/j.is.2008.01.00233:4-5(335-359)Online publication date: 1-Jun-2008
  • (2007)Study on efficiency and effectiveness of KSORDProceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management10.5555/1769708.1769715(6-17)Online publication date: 16-Jun-2007
  • (2007)Visualization of Heterogeneous DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2007.7061713:6(1200-1207)Online publication date: 1-Nov-2007

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