Spark: top-k keyword query in relational databases Export

@inproceedings{citeulike:2022786, abstract = {With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assembled from multiple relational tables, traditional IR-style ranking and query evaluation methods cannot be applied directly.}, address = {New York, NY, USA}, author = {Luo, Yi and Lin, Xuemin and Wang, Wei and Zhou, Xiaofang}, booktitle = {SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data}, citeulike-article-id = {2022786}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1247480.1247495}, citeulike-linkout-1 = {http://dblp.uni-trier.de/rec/bibtex/conf/sigmod/LuoLWZ07}, citeulike-linkout-2 = {http://dx.doi.org/10.1145/1247480.1247495}, doi = {10.1145/1247480.1247495}, isbn = {978-1-59593-686-8}, keywords = {dbir, search}, location = {Beijing, China}, pages = {115--126}, posted-at = {2007-11-30 07:57:49}, priority = {2}, publisher = {ACM}, title = {Spark: top-k keyword query in relational databases}, url = {http://dx.doi.org/10.1145/1247480.1247495}, year = {2007} }

TY - CONF ID - citeulike:2022786 L3 - citeulike-article-id:2022786 N2 - With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assembled from multiple relational tables, traditional IR-style ranking and query evaluation methods cannot be applied directly. CY - Beijing, China SN - 978-1-59593-686-8 AD - New York, NY, USA EP - 126 TI - Spark: top-k keyword query in relational databases PB - ACM T2 - SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data SP - 115 KW - dbir KW - search AU - Luo, Yi AU - Lin, Xuemin AU - Wang, Wei AU - Zhou, Xiaofang PY - 2007/// UR - http://dx.doi.org/10.1145/1247480.1247495 ER -