We tackle the problem of disambiguating entities on the Web. We propose a user-driven scheme where graphs of entities ? represented by globally identifiable declarative artifacts ...
Hermann de Meer, Karl Aberer, Michael Jost, Parisa...
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
With the rapid growth of wireless technologies and handheld devices, m-commerce is becoming a promising research area. Personalization is especially important to the success of mc...
We investigate the idea of finding semantically related search engine queries based on their temporal correlation; in other words, we infer that two queries are related if their p...
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...