This paper describes an approximation based on geographic information retrieval with the purpose to give some solutions to the problem of searching pharmacies on duty in the Spani...
Francisco M. Rangel Pardo, Loli Rangel Pardo, Davi...
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
We present a text mining method called CORDER [4] which discovers social networks from an organization’s documents. CORDER finds relations between a target named entity and othe...
We present the STEX system, a semantic extension of LATEX, that allows for producing high-quality PDF documents for (proof)reading and printing, as well as semantic XML/OMDoc docu...
Andrea Kohlhase, Michael Kohlhase, Christoph Lange...