Knowledge engineering upholds a longstanding tradition that emphasises methodological issues associated with the acquisition and representation of knowledge in some (formal) language. This focus on methodology implies an ex ante approach: think before you act. The rapid increase of linked data poses new challenges for knowledge engineering, and the Semantic Web project as a whole. Although the dream of unhindered knowledge reuse is a technical reality, it has come at the cost of control. Semantic web content can no longer be assumed to have been produced in a controlled task-independent environment. When reused, Semantic Web content needs to be remoulded, refiltered and recurated for a new task. Traditional ex ante methodologies do not provide any guidelines for this ex post knowledge reengineering; forcing developers to resort to ad hoc measures and manual labour: the knowledge reengineering bottleneck.
%0 Journal Article
%1 Hoekstra10swj
%A Hoekstra, Rinke
%D 2010
%J Semantic Web
%K 01614 paper ai semantic web knowledge engineering zzz.sw
%N 1-2
%P 111--115
%R 10.3233/SW-2010-0004
%T The Knowledge Reengineering Bottleneck
%V 1
%X Knowledge engineering upholds a longstanding tradition that emphasises methodological issues associated with the acquisition and representation of knowledge in some (formal) language. This focus on methodology implies an ex ante approach: think before you act. The rapid increase of linked data poses new challenges for knowledge engineering, and the Semantic Web project as a whole. Although the dream of unhindered knowledge reuse is a technical reality, it has come at the cost of control. Semantic web content can no longer be assumed to have been produced in a controlled task-independent environment. When reused, Semantic Web content needs to be remoulded, refiltered and recurated for a new task. Traditional ex ante methodologies do not provide any guidelines for this ex post knowledge reengineering; forcing developers to resort to ad hoc measures and manual labour: the knowledge reengineering bottleneck.
@article{Hoekstra10swj,
abstract = {Knowledge engineering upholds a longstanding tradition that emphasises methodological issues associated with the acquisition and representation of knowledge in some (formal) language. This focus on methodology implies an ex ante approach: think before you act. The rapid increase of linked data poses new challenges for knowledge engineering, and the Semantic Web project as a whole. Although the dream of unhindered knowledge reuse is a technical reality, it has come at the cost of control. Semantic web content can no longer be assumed to have been produced in a controlled task-independent environment. When reused, Semantic Web content needs to be remoulded, refiltered and recurated for a new task. Traditional ex ante methodologies do not provide any guidelines for this ex post knowledge reengineering; forcing developers to resort to ad hoc measures and manual labour: the knowledge reengineering bottleneck.},
added-at = {2016-08-18T16:17:28.000+0200},
author = {Hoekstra, Rinke},
biburl = {https://www.bibsonomy.org/bibtex/2f3389e4ba6233f061cc2df2cf4fdfd79/flint63},
doi = {10.3233/SW-2010-0004},
file = {IOS MetaPress:2010/Hoekstra10swj.pdf:PDF},
groups = {public},
interhash = {abad0a5c269b708fcf880ebafa30f443},
intrahash = {f3389e4ba6233f061cc2df2cf4fdfd79},
issn = {1570-0844},
journal = {Semantic Web},
keywords = {01614 paper ai semantic web knowledge engineering zzz.sw},
number = {1-2},
pages = {111--115},
timestamp = {2018-04-16T11:58:26.000+0200},
title = {The Knowledge Reengineering Bottleneck},
username = {flint63},
volume = 1,
year = 2010
}