In this paper we explore the possibilities of using the Linked
Data representation of all Dutch regulations stored in the MetaLex Document
Server for the purposes of network analysis over the citation graph
between regulations, both at the document level, and at the article level.
We show that this is possible using relatively straightforward SPARQL
queries, and present preliminary results of the analysis.
%0 Journal Article
%1 Hoekstra2013
%A Hoekstra, Rinke
%D 2013
%K computerscience law network-analysis p15
%T A Network Analysis of Dutch Regulations
%U http://dx.doi.org/10.6084/m9.figshare.689880
%X In this paper we explore the possibilities of using the Linked
Data representation of all Dutch regulations stored in the MetaLex Document
Server for the purposes of network analysis over the citation graph
between regulations, both at the document level, and at the article level.
We show that this is possible using relatively straightforward SPARQL
queries, and present preliminary results of the analysis.
@article{Hoekstra2013,
abstract = {In this paper we explore the possibilities of using the Linked
Data representation of all Dutch regulations stored in the MetaLex Document
Server for the purposes of network analysis over the citation graph
between regulations, both at the document level, and at the article level.
We show that this is possible using relatively straightforward SPARQL
queries, and present preliminary results of the analysis.},
added-at = {2014-11-29T08:53:03.000+0100},
author = {Hoekstra, Rinke},
biburl = {https://www.bibsonomy.org/bibtex/2dbb6438070eb79cd7e26761cb4f7b6ef/muehlburger},
interhash = {ea54dcf947136e111c206b48c4b8de38},
intrahash = {dbb6438070eb79cd7e26761cb4f7b6ef},
keywords = {computerscience law network-analysis p15},
month = apr,
timestamp = {2015-02-23T07:09:50.000+0100},
title = {A Network Analysis of Dutch Regulations},
url = {http://dx.doi.org/10.6084/m9.figshare.689880},
year = 2013
}