We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...
Antti Ukkonen, Carlos Castillo, Debora Donato, Ari...
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Historical sound documents are of high importance for our cultural heritage. The sound of phonographic records is usually extracted by a stylus following the groove, but many old r...
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
We propose a set of sketch-based interaction techniques for efficient retrieval of multimedia related to locations. The user makes a simple sketch on a map to interact with it, in...