H. Holzmann, and T. Risse. Proceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries, page 413--414. Piscataway, NJ, USA, IEEE Press, (2014)
Abstract
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 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.
%0 Conference Paper
%1 Holzmann:2014:EED:2740769.2740843
%A Holzmann, Helge
%A Risse, Thomas
%B Proceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries
%C Piscataway, NJ, USA
%D 2014
%I IEEE Press
%K alexandria entity evolution myown wikipedia
%P 413--414
%T Extraction of Evolution Descriptions from the Web
%U http://dl.acm.org/citation.cfm?id=2740769.2740843
%X 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 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.
%@ 978-1-4799-5569-5
@inproceedings{Holzmann:2014:EED:2740769.2740843,
abstract = {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 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.},
acmid = {2740843},
added-at = {2015-08-04T20:46:41.000+0200},
address = {Piscataway, NJ, USA},
author = {Holzmann, Helge and Risse, Thomas},
biburl = {https://www.bibsonomy.org/bibtex/2dc1e75b6ff6d789ff353bb83025a7c7b/helgeho},
booktitle = {Proceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries},
description = {Extraction of evolution descriptions from the web},
interhash = {da05907b6106d4002f5d9a561d0bb9e2},
intrahash = {dc1e75b6ff6d789ff353bb83025a7c7b},
isbn = {978-1-4799-5569-5},
keywords = {alexandria entity evolution myown wikipedia},
location = {London, United Kingdom},
numpages = {2},
pages = {413--414},
publisher = {IEEE Press},
series = {JCDL '14},
timestamp = {2015-08-04T21:02:49.000+0200},
title = {Extraction of Evolution Descriptions from the Web},
url = {http://dl.acm.org/citation.cfm?id=2740769.2740843},
year = 2014
}