Systems designed for efficient retrieval of conventional data can be very inefficient at retrieving documents. Documents have more complex structure than conventional data, and th...
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...
The need to transform data between heterogeneous databases arises from a number of critical tasks in data management. These tasks are complicated by schema evolution in the underl...
The goal of this paper is to bring together the worlds of design and active databases. Design databases have to provide a powerful data model for complex structured design data as ...
Abstract— Multi-agent systems (MAS) have received an increasing attention over the past few years. Here an MAS is a system consisted of multiple interacting intelligent agents. T...