Knowledge-sharing communities like Wikipedia and automated extraction methods like those of DBpedia enable the construction of large machine-processible knowledge bases with relat...
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
Every day the global media system produces an abundance of news stories, all containing many references to people. An important task is to automatically generate reliable lists of ...
In cross-language information retrieval it is often important to align words that are similar in meaning in two corpora written in different languages. Previous research shows tha...