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SIGMOD
2011
ACM
199views Database» more  SIGMOD 2011»
14 years 7 months ago
Schema-as-you-go: on probabilistic tagging and querying of wide tables
The emergence of Web 2.0 has resulted in a huge amount of heterogeneous data that are contributed by a large number of users, engendering new challenges for data management and qu...
Meiyu Lu, Divyakant Agrawal, Bing Tian Dai, Anthon...
WWW
2006
ACM
16 years 5 months ago
Mining search engine query logs for query recommendation
This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Zhiyong Zhang, Olfa Nasraoui
152
Voted
AIR
2006
124views more  AIR 2006»
15 years 4 months ago
Expressiveness of temporal query languages: on the modelling of intervals, interval relationships and states
Abstract Storing and retrieving time-related information are important, or even critical, tasks on many areas of Computer Science (CS) and in particular for Artificial Intelligence...
Rodolfo Sabás Gómez, Juan Carlos Aug...
PODS
2007
ACM
131views Database» more  PODS 2007»
16 years 5 months ago
Provenance semirings
We show that relational algebra calculations for incomplete databases, probabilistic databases, bag semantics and whyprovenance are particular cases of the same general algorithms...
Todd J. Green, Gregory Karvounarakis, Val Tannen
ICDT
2001
ACM
124views Database» more  ICDT 2001»
15 years 9 months ago
Why and Where: A Characterization of Data Provenance
Withthe proliferation of database views and curated databases, the issue of data provenance where a piece of data came from and the process by which it arrived in the database is b...
Peter Buneman, Sanjeev Khanna, Wang Chiew Tan