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 mentioned in texts are subject to change. Most severe in terms of information retrieval are name changes. In order to find entities that have changed their name over time, search engines need to be aware of this evolution. We tackle this problem by analyzing Wikipedia in terms of entity evolutions mentioned in articles. We present statistical data on excerpts covering name changes, which will be used to discover similar text passages and extract evolution knowledge in future work.
%0 Conference Paper
%1 Holzmann:2014:NEE:2615569.2615639
%A Holzmann, Helge
%A Risse, Thomas
%B Proceedings of the 2014 ACM Conference on Web Science
%C New York, NY, USA
%D 2014
%I ACM
%K alexandria entity evolution myown wikipedia
%P 241--242
%R 10.1145/2615569.2615639
%T Named Entity Evolution Analysis on Wikipedia
%U http://doi.acm.org/10.1145/2615569.2615639
%X 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 mentioned in texts are subject to change. Most severe in terms of information retrieval are name changes. In order to find entities that have changed their name over time, search engines need to be aware of this evolution. We tackle this problem by analyzing Wikipedia in terms of entity evolutions mentioned in articles. We present statistical data on excerpts covering name changes, which will be used to discover similar text passages and extract evolution knowledge in future work.
%@ 978-1-4503-2622-3
@inproceedings{Holzmann:2014:NEE:2615569.2615639,
abstract = {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 mentioned in texts are subject to change. Most severe in terms of information retrieval are name changes. In order to find entities that have changed their name over time, search engines need to be aware of this evolution. We tackle this problem by analyzing Wikipedia in terms of entity evolutions mentioned in articles. We present statistical data on excerpts covering name changes, which will be used to discover similar text passages and extract evolution knowledge in future work.},
acmid = {2615639},
added-at = {2015-08-04T20:48:56.000+0200},
address = {New York, NY, USA},
author = {Holzmann, Helge and Risse, Thomas},
biburl = {https://www.bibsonomy.org/bibtex/2e534a66a7ade2a1acc2ad06805193410/helgeho},
booktitle = {Proceedings of the 2014 ACM Conference on Web Science},
description = {Named entity evolution analysis on wikipedia},
doi = {10.1145/2615569.2615639},
interhash = {827ffdb68265a2bc985a0801bfa7f68f},
intrahash = {e534a66a7ade2a1acc2ad06805193410},
isbn = {978-1-4503-2622-3},
keywords = {alexandria entity evolution myown wikipedia},
location = {Bloomington, Indiana, USA},
numpages = {2},
pages = {241--242},
publisher = {ACM},
series = {WebSci '14},
timestamp = {2015-08-04T21:02:22.000+0200},
title = {Named Entity Evolution Analysis on Wikipedia},
url = {http://doi.acm.org/10.1145/2615569.2615639},
year = 2014
}