Extraction of Evolution Descriptions from the Web
This addresses the need for better support in digital libraries for users dealing with name changes of entities, though it appears incremental as it builds on existing analyses and resources.
The paper tackles the problem of extracting descriptions of named entity evolutions from web resources like Wikipedia to improve information retrieval systems, achieving promising precision with their Evolution Base prototype.
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 users in finding former occurrences of evolved entities. However, current structured knowledge bases, such as DBpedia or Freebase, do not provide enough information about evolutions, even though the data is available on their resources, like Wikipedia. Our \emph{Evolution Base} prototype will demonstrate how excerpts describing name evolutions can be identified on these websites with a promising precision. The descriptions are classified by means of models that we trained based on a recent analysis of named entity evolutions on Wikipedia.