11 citations · 18 across the 6 of their papers we have counts for
6 papers
Extracting Event-Centric Document Collections from Large-Scale Web Archives
Gerhard Gossen, Elena Demidova, Thomas Risse
Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These collections con…
Named Entity Evolution Recognition on the Blogosphere
Helge Holzmann, Nina Tahmasebi, Thomas Risse
Advancements in technology and culture lead to changes in our language. These changes create a gap between the language known by users and the language stored in digital archives.…
Extraction of Evolution Descriptions from the Web
Helge Holzmann, Thomas Risse
The evolution of named entities affects exploration and retrieval tasks in digital libraries. An information retrieval system that is aware of name changes can actively support use…
Named Entity Evolution Analysis on Wikipedia
Helge Holzmann, Thomas Risse
Accessing Web archives raises a number of issues caused by their temporal characteristics. Additional knowledge is needed to find and understand older texts. Especially entities me…
Insights into Entity Name Evolution on Wikipedia
Helge Holzmann, Thomas Risse
Working with Web archives raises a number of issues caused by their temporal characteristics. Depending on the age of the content, additional knowledge might be needed to find and…
Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
Tarcisio Souza, Elena Demidova, Thomas Risse +3
Long-term Web archives comprise Web documents gathered over longer time periods and can easily reach hundreds of terabytes in size. Semantic annotations such as named entities can…