Initially popularized by Amazon.com, recommendation technologies have become widespread over the past several years. However, the types of recommendations available to the users i...
Gediminas Adomavicius, Alexander Tuzhilin, Rong Zh...
Recent progress in ubiquitous computing technology is allowing development of new and sophisticated applications that are now able to store very large data on the mobile device it...
Cristiano Silveira, Leonardo Eloy, Jose Maria Mont...
Top trees are a dynamic self-adjusting data structure that can be used by any tree algorithm. Actually, an arbitrary number of different tree algorithms can use a single structure....
Starting from the general framework for Annotated RDFS which we presented in previous work (extending Udrea et al's Annotated RDF), we address the development of a query langu...
Nuno Lopes 0002, Axel Polleres, Umberto Straccia, ...
Abstract. We consider the class of applications that manage time series (TS) and propose a data model and a query language that let these applications manipulate TS data sets at a ...
Traditional information search in which queries are posed against a known and rigid schema over a structured database is shifting towards a Web scenario in which exposed schemas ar...
Large databases of linguistic annotations are used for testing linguistic hypotheses and for training language processing models. These linguistic annotations are often syntactic ...
We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language t...
The proliferation of spatial data on the Internet is beginning to allow a much wider access to data currently available in various Geographic Information Systems (GIS). In order t...
The multidimensional, heterogeneous, and temporal nature of speech databases raises interesting challenges for representation and query. Recently, annotation graphs have been prop...