TY - GEN
T1 - Supporting entity search
T2 - SIGMOD 2007: ACM SIGMOD International Conference on Management of Data
AU - Cheng, Tao
AU - Yan, Xifeng
AU - Chang, Kevin Chen-Chuan
PY - 2007
Y1 - 2007
N2 - As the Web has evolved into a data-rich repository, with the standard page view," current search engines are increasingly inadequate. While we often search for various data "entities" (e.g. phone number, paper PDF, date), today's engines only take us indirectly to pages. Therefore, we propose the concept of entity search, a significant departure from traditional document retrieval. Towards our goal of supporting entity search, in the WISDM project at UIUC we build and evaluate our prototype search engine over a 2TB Web corpus. Our demonstration shows the feasibility and promise of a large-scale system architecture to support entity search.
AB - As the Web has evolved into a data-rich repository, with the standard page view," current search engines are increasingly inadequate. While we often search for various data "entities" (e.g. phone number, paper PDF, date), today's engines only take us indirectly to pages. Therefore, we propose the concept of entity search, a significant departure from traditional document retrieval. Towards our goal of supporting entity search, in the WISDM project at UIUC we build and evaluate our prototype search engine over a 2TB Web corpus. Our demonstration shows the feasibility and promise of a large-scale system architecture to support entity search.
KW - Association mining
KW - Entity search
KW - Large-scale
KW - Web search
UR - https://www.scopus.com/pages/publications/35448952630
UR - https://www.scopus.com/pages/publications/35448952630#tab=citedBy
U2 - 10.1145/1247480.1247636
DO - 10.1145/1247480.1247636
M3 - Conference contribution
AN - SCOPUS:35448952630
SN - 1595936866
SN - 9781595936868
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 1144
EP - 1146
BT - SIGMOD 2007
Y2 - 12 June 2007 through 14 June 2007
ER -