1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DB2016★ 1 cited
Learning Tuple Probabilities
Maximilian Dylla, Martin Theobald
Learning the parameters of complex probabilistic-relational models from labeled training data is a standard technique in machine learning, which has been intensively studied in the…
cs.DB2016★ 1 cited
Distributed Processing of Generalized Graph-Pattern Queries in SPARQL 1.1
Sairam Gurajada, Martin Theobald
We propose an efficient and scalable architecture for processing generalized graph-pattern queries as they are specified by the current W3C recommendation of the SPARQL 1.1 "Query…
cs.DL2012★ 1 cited
Proceedings of the first International Workshop On Open Data, WOD-2012
Guillaume Raschia, Martin Theobald, Ioana Manolescu
WOD-2012 aims at facilitating new trends and ideas from a broad range of topics concerned within the widely-spread Open Data movement, from the viewpoint of computer science resear…