Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Metadata processing is recognized as a central challenge for database research in the next decade. Already, novel desktop data management and search applications (cf. Apple’s Spo...
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
Abdul Salam Kalaji, Robert M. Hierons, Stephen Swi...
Because of the increasing number of electronic data, designing efficient tools to retrieve and exploit documents is a major challenge. Current search engines suffer from two main d...
Sylvie Ranwez, Vincent Ranwez, Mohameth-Fran&ccedi...
With the emergence of Yahoo Pipes and several similar services, data mashup tools have started to gain interest of business users. Making these tools simple and accessible to user...
Anton Riabov, Eric Bouillet, Mark Feblowitz, Zhen ...