This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize informationextraction techniques to identify entity candidat...
Julia Stoyanovich, Srikanta J. Bedathur, Klaus Ber...
Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document con...
The Web has the potential to become the world’s
largest knowledge base. In order to unleash this potential,
the wealth of information available on the Web needs to be
extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
The presence of encyclopedic Web sources, such as Wikipedia, the Internet Movie Database (IMDB), World Factbook, etc. calls for new querying techniques that are simple and yet mor...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...