Digitizing a historical document using ontologies and natural language processing techniques can transform it from arcane text to a useful knowledge base.
%0 Journal Article
%1 witte_converting_2010
%A Witte, René
%A Krestel, Ralf
%A Kappler, Thomas
%A Lockemann, Per
%D 2010
%J IEEE Intelligent Systems
%K semantic_web
%N 1
%P 58--67
%T Converting a historical architecture encyclopedia into a semantic knowledge base
%V 25
%X Digitizing a historical document using ontologies and natural language processing techniques can transform it from arcane text to a useful knowledge base.
@article{witte_converting_2010,
abstract = {Digitizing a historical document using ontologies and natural language processing techniques can transform it from arcane text to a useful knowledge base.},
added-at = {2018-11-04T17:02:36.000+0100},
author = {Witte, René and Krestel, Ralf and Kappler, Thomas and Lockemann, Per},
biburl = {https://www.bibsonomy.org/bibtex/23f282f3cde5b07198fe1e7b7fda4d1f8/lepsky},
interhash = {8d525f49e56250ecfb5e98fd06d1710e},
intrahash = {3f282f3cde5b07198fe1e7b7fda4d1f8},
journal = {IEEE Intelligent Systems},
keywords = {semantic_web},
number = 1,
pages = {58--67},
timestamp = {2018-11-07T09:16:47.000+0100},
title = {Converting a historical architecture encyclopedia into a semantic knowledge base},
volume = 25,
year = 2010
}