In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
The nature of semistructured data in web collections is evolving. Increasingly, XML web documents (or documents exchanged via web services) are valid with regard to a schema, yet ...
Mariano P. Consens, Flavio Rizzolo, Alejandro A. V...
The emergence of electronic marketplaces and other electronic services and applications on the Internet is creating a growing demand for effective management of resources. Due to ...
Markus Keidl, Alexander Kreutz, Alfons Kemper, Don...
The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia inf...