MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept ...
Jiewen Huang, Lyublena Antova, Christoph Koch, Dan...
Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming what is referred to as the deep web. It is desirable to have systems that can pr...
Extending relational database functionality to include data mining primitives is one step towards the greater goal of more closely integrated database and mining systems. This pape...
Abstract. We present the Consistency Extractor System (ConsEx) that uses answer set programming to compute consistent answers to first-order queries posed to relational databases ...
Modern digital libraries require user-friendly and yet responsive access to the rapidly growing, heterogeneous, and distributed collection of information sources. However, the inc...