DBXplorer: enabling keyword search over relational databases

  title={DBXplorer: enabling keyword search over relational databases},
  author={Sanjay Agrawal and Surajit Chaudhuri and Gautam Das},
  booktitle={SIGMOD Conference},
1. Motivation Internet search engines have popularized keyword based search. While relational database systems offer powerfifl structured query languages such as SQL, there is no support for keyword search over databases. The simplicity of keyword search as a querying paradigm offers compelling values for data exploration. Specifically, keyword search does not require a priori knowledge of the schema. The above is significant as much information in a corporation is increasingly being available… CONTINUE READING
Highly Influential
This paper has highly influenced 17 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 133 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 76 extracted citations

A Survey of Algorithms for Keyword Search on Graph Data

Managing and Mining Graph Data • 2010
View 13 Excerpts
Highly Influenced

Keyword Query Cleaning with Query Logs

WAIM • 2011
View 4 Excerpts
Highly Influenced

Towards heterogeneous keyword search

View 6 Excerpts
Highly Influenced

A ranking algorithm based on contents and non-key attributes for object-level keyword search over relational databases

2014 4th IEEE International Conference on Information Science and Technology • 2014
View 5 Excerpts
Highly Influenced

Effectively Interpreting Keyword Queries on RDF Databases with a Rear View

International Semantic Web Conference • 2011
View 6 Excerpts
Highly Influenced

133 Citations

Citations per Year
Semantic Scholar estimates that this publication has 133 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…