YEARS OF EUROPEAN ONLINE ANNÉES DE EN LIGNE ...
YEARS OF EUROPEAN ONLINE ANNÉES DE EN LIGNE ... YEARS OF EUROPEAN ONLINE ANNÉES DE EN LIGNE ...
ontological map. the idea is to make the tool available for different types of users without necessarily making complex information available to common users. the project team welcomes all possible comments and reactions of users experimenting with the Syllabus online! 01_2007_5222_txt_ML.indd 136 6-12-2007 15:14:01
EUR-LEX: FROM DATA STRUCTURES TO LEGAL ONTOLOGIES INtRODUCtION Lawyers as knowledge workers have to cope with a tremendous load of information. In the legal domain, almost all available information is stored as text, most of the time in relatively unstructured forms (Stranieri and Zeleznikow, 2005). As legal work consists in solving legal problems, consultation of various texts is a prerequisite of legal work. this legal research can be outsourced to paralegals but at the very end highly qualiied lawyers have to reine the often high quantity of search results in order to get a corpus of relevant legal texts. Given the high costs and time constraints, improvements of existing legal databases in order to reduce this process of reining search results would be highly welcome to lawyers. this assessment is also correct for EU law. the burden of legal search may be even higher due to insuficiently known EU terminology that differs from familiar national terminology. Information retrieval was, and is still, the most obvious and frequently used method to tackle this research task. Given the limitations of information retrieval, enhancements are required and thus are the subject of research. Besides ongoing efforts to improve information retrieval (e.g. SIGIR conferences ( 1 )), legal ontologies as a formalisation tool of knowledge have received considerable attention in recent years. Ontologies may provide a solution for this problem because users can reuse formalised knowledge on the text corpus and its terminology. In this contribution, an idea for a new approach for structuring legal databases using ontologies is described and developed based on the example of the database on European law, EUR-Lex ( 2 ) formerly CELEX (for an overview of EUR-Lex/ CELEX see: 25 years of European law online, Publications Ofice, Luxembourg, 2006). for the sake of better understanding, let us start with a sketchy deinition. An ontology is a data model that represents a set of concepts within a domain ERICH SCHWEIGHOFER Associate Professor at Vienna University (on leave); case handler for State aid in the Directorate-General for Agriculture and Rural Development, European Commission, Brussels ( 1 ) website: http://www.sigir.org. ( 2 ) website: http://eur-lex.europa.eu. 136 | 137 01_2007_5222_txt_ML.indd 137 6-12-2007 15:14:02
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EUR-LEX: FROM DATA STRUCTURES<br />
TO LEGAL ONTOLOGIES<br />
INtRODUCtION<br />
Lawyers as knowledge workers have to cope with a tremendous load of<br />
information. In the legal domain, almost all available information is stored as<br />
text, most of the time in relatively unstructured forms (Stranieri and Zeleznikow,<br />
2005). As legal work consists in solving legal problems, consultation of various<br />
texts is a prerequisite of legal work. this legal research can be outsourced to<br />
paralegals but at the very end highly qualiied lawyers have to reine the often<br />
high quantity of search results in order to get a corpus of relevant legal texts.<br />
Given the high costs and time constraints, improvements of existing legal<br />
databases in order to reduce this process of reining search results would be<br />
highly welcome to lawyers. this assessment is also correct for EU law. the<br />
burden of legal search may be even higher due to insuficiently known EU<br />
terminology that differs from familiar national terminology.<br />
Information retrieval was, and is still, the most obvious and frequently<br />
used method to tackle this research task. Given the limitations of information<br />
retrieval, enhancements are required and thus are the subject of research. Besides<br />
ongoing efforts to improve information retrieval (e.g. SIGIR conferences<br />
( 1 )), legal ontologies as a formalisation tool of knowledge have received<br />
considerable attention in recent years. Ontologies may provide a solution for<br />
this problem because users can reuse formalised knowledge on the text corpus<br />
and its terminology.<br />
In this contribution, an idea for a new approach for structuring legal databases<br />
using ontologies is described and developed based on the example of the database<br />
on European law, EUR-Lex ( 2 ) formerly CELEX (for an overview of EUR-Lex/<br />
CELEX see: 25 years of European law online, Publications Ofice, Luxembourg, 2006).<br />
for the sake of better understanding, let us start with a sketchy deinition.<br />
An ontology is a data model that represents a set of concepts within a domain<br />
ERICH SCHWEIGH<strong>OF</strong>ER<br />
Associate Professor<br />
at Vienna University<br />
(on leave); case handler<br />
for State aid in the<br />
Directorate-General<br />
for Agriculture and Rural<br />
Development, European<br />
Commission, Brussels<br />
( 1 ) website: http://www.sigir.org.<br />
( 2 ) website: http://eur-lex.europa.eu.<br />
136 | 137<br />
01_2007_5222_txt_ML.indd 137 6-12-2007 15:14:02