Interlinking Legal Data. Filtz, E., Kirrane, S., & Polleres, A. In Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems (SEMANTiCS2018), Vienna, Austria, September, 2018. Poster abstractPaper abstract bibtex In recent years, the European Union has been working towards harmonizing legislation thus allowing for easier cross-border access to, exchange and reuse of legal information. This initiative is supported via standardization activities such as the European Law Identifier (ELI) and the European Case Law Identifier (ECLI), which provide technical specifications for web identifiers and vocabularies that can be used to describe metadata pertaining to legal documents. Unfortunately, to date said initiative have only been partially adopted by EU member states, possibly due to the manual effort involved in curating the metadata. As a first step towards streamlining this process, we propose a cross-jurisdictional legal framework that demonstrates how legal information stored in national databases can be linked at a European level using Natural Language Processing together with external knowledgebases to automatically populate the knowledge base.
@inproceedings{filt-etal-2018SEMANTiCS_PD,
author = {Erwin Filtz and Sabrina Kirrane and Axel Polleres},
abstract = {In recent years, the European Union has been working towards harmonizing legislation thus allowing for easier cross-border access to, exchange and reuse of legal information. This initiative is supported via standardization activities such as the European Law Identifier (ELI) and the European Case Law Identifier (ECLI), which provide technical specifications for web identifiers and vocabularies that can be used to describe metadata pertaining to legal documents. Unfortunately, to date said initiative have only been partially adopted by EU member states, possibly due to the manual effort involved in curating the metadata. As a first step towards streamlining this process, we propose a cross-jurisdictional legal framework that demonstrates how legal information stored in national databases can be linked at a European level using Natural Language Processing together with external knowledgebases to automatically populate the knowledge base.},
title = {Interlinking Legal Data},
booktitle = {Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems (SEMANTiCS2018)},
address = {Vienna, Austria},
month = sep,
day = {10--13},
year = 2018,
note = {Poster abstract},
url = {http://polleres.net/publications/filt-etal-2018SEMANTiCS_PD.pdf}
}
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