To take the first step beyond keyword-based search toward entity-based search, suitable token spans ("spots") on documents must be identified as references to real-world...
Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, ...
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...
: The paper presents YAWN, a system to convert the well-known and widely used Wikipedia collection into an XML corpus with semantically rich, self-explaining tags. We introduce alg...
Ralf Schenkel, Fabian M. Suchanek, Gjergji Kasneci
Wikipedia is the world’s largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural...
Semantic information helps in identifying the context of a document. It will be interesting to find out how effectively this information can be used in recommending related docume...