Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
Intelligent, server-side adaptation of multimedia resources is becoming increasingly important and challenging for two reasons. First, the market continuously brings up new mobile...
Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question ...
Benjamin Markines, Ciro Cattuto, Filippo Menczer, ...
Interoperability among systems using different term vocabularies requires mappings between them. Matching applications generate these mappings. When the matching process utilizes ...
Deborah L. McGuinness, Pavel Shvaiko, Fausto Giunc...