This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and ...
Many documents that can be found in the World Wide Web include some kind of geographical information, often in an implicit way. The use of resources like gazetteers and geographic...
In order to achieve genuine web intelligence, building some kind of large general machine-readable conceptual scheme (i.e. ontology) seems inescapable. Yet the past 20 years have ...
Samuel Sarjant, Catherine Legg, Michael Robinson, ...
This paper describes SW1, the first version of a semantically annotated snapshot of the English Wikipedia. In recent years Wikipedia has become a valuable resource for both the Na...
Jordi Atserias, Hugo Zaragoza, Massimiliano Ciaram...
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...