We describe the design and implementation of the Cornell Cayuga System for scalable event processing. We present a query language based on Cayuga Algebra for naturally expressing ...
Alan J. Demers, Johannes Gehrke, Biswanath Panda, ...
We present the algorithmic core of a full text data base that allows fast Boolean queries, phrase queries, and document reporting using less space than the input text. The system ...
ConQueSt is a constraint-based querying system devised with the aim of supporting the intrinsically exploratory nature of pattern discovery. It provides users with an expressive c...
Francesco Bonchi, Fosca Giannotti, Claudio Lucches...
— The amount of semantic data on the Web has increased exponentially in the last years. One of the main reasons for this is the use of RDB2RDF systems, which generate RDF data fr...
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...