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Knowledge Graph-Based Legal Search over German Court Cases

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The Semantic Web: ESWC 2020 Satellite Events (ESWC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12124))

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Abstract

The information contained in legal information systems are often accessed through simple keyword interfaces and presented as a simple list of hits. In order to improve search accuracy one may avail of knowledge graphs, where the semantics of the data can be made explicit. This article reports on challenges encountered and achievements made during the development of a knowledge graph-based search engine designed for German court case data at Wolters Kluwer Germany.

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Notes

  1. 1.

    A leading centre developing Linked Data solutions. https://www.adaptcentre.ie/.

  2. 2.

    A leading knowledge provider in the legal domain. https://wolterskluwer.com/.

  3. 3.

    SKOS is a W3C Recommendation designed for representation of thesauri, classification schemes, taxonomies, subject-heading systems, or any other type of structured controlled vocabulary. https://www.w3.org/TR/skos-reference/.

  4. 4.

    https://lucene.apache.org/solr/.

References

  1. Boella, G., Caro, L.D., Humphreys, L., Robaldo, L., Rossi, P., van der Torre, L.: Eunomos, a legal document and knowledge management system for the web to provide relevant, reliable and up-to-date information on the law. Artif. Intell. Law 24(3), 245–283 (2016)

    Google Scholar 

  2. Breuker, J., Casanovas, P., Klein, M.C., Francesconi, E.: The flood, the channels, and the dykes: managing legal information a globalized and digital world. Law, ontologies and the semantic web channeling the legal informational flood, pp. 0199–220 (2009)

    Google Scholar 

  3. Collarana, D., et al.: A question answering system on regulatory documents. In: JURIX, pp. 41–50 (2018)

    Google Scholar 

  4. Crotti Junior, A., Orlandi, F., O’Sullivan, D., Dirschl, C., Reul, Q.: Using mapping languages for building legal knowledge graphs from XML files. In: Workshop on Contextualized Knowledge Graphs Co-located with the 18th International Semantic Web Conference (ISWC) (2019)

    Google Scholar 

  5. Dimou, A., Vander Sande, M., Colpaert, P., Verborgh, R., Mannens, E., Van de Walle, R.: RML: a generic language for integrated RDF mappings of heterogeneous data. In: Proceedings of the 7th LDoW Workshop at WWW (2014)

    Google Scholar 

  6. Filtz, E.: Building and processing a knowledge-graph for legal data. In: Blomqvist, E., Maynard, D., Gangemi, A., Hoekstra, R., Hitzler, P., Hartig, O. (eds.) ESWC 2017. LNCS, vol. 10250, pp. 184–194. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58451-5_13

    Chapter  Google Scholar 

  7. Harris, S., Seaborne, A., Prud’hommeaux, E.: SPARQL 1.1 query language. W3C Recomm. 21(10) (2013)

    Google Scholar 

  8. Koniaris, M., Papastefanatos, G., Vassiliou, Y.: Towards automatic structuring and semantic indexing of legal documents. In: Proceedings of the 20th Pan-Hellenic Conference on Informatics, pp. 1–6 (2016)

    Google Scholar 

  9. Lee, S., Kim, P., Seo, D., Kim, J., Lee, J., Jung, H., Dirschl, C.: Multi-faceted navigation of legal documents. In: 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, pp. 537–540. IEEE (2011)

    Google Scholar 

  10. Nejad, N.M., Jabat, P., Nedelchev, R., Scerri, S., Graux, D.: Establishing a strong baseline for privacy policy classification. In: IFIP International Conference on ICT Systems Security and Privacy Protection (2020)

    Google Scholar 

  11. Schweighofer, E.: Semantic indexing of legal documents. In: Francesconi, E., Montemagni, S., Peters, W., Tiscornia, D. (eds.) Semantic Processing of Legal Texts. LNCS (LNAI), vol. 6036, pp. 157–169. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12837-0_9

    Chapter  Google Scholar 

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Acknowledgments

This paper was supported by Wolters Kluwer Germany, Science Foundation Ireland (Grant 13/RC/2106) and EDGE Marie Skłodowska-Curie grant agreement No. 713567, as part of the ADAPT Centre for Digital Content Technology (http://www.adaptcentre.ie/) at Trinity College Dublin.

Author information

Authors and Affiliations

  1. ADAPT SFI Research Centre, Dublin, Ireland

    Ademar Crotti Junior, Fabrizio Orlandi, Damien Graux, Murhaf Hossari & Declan O’Sullivan

  2. Wolters Kluwer Deutschland GmbH, Cologne, Munich, Germany

    Christian Hartz & Christian Dirschl

Authors
  1. Ademar Crotti Junior
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  2. Fabrizio Orlandi
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  3. Damien Graux
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  4. Murhaf Hossari
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  5. Declan O’Sullivan
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  6. Christian Hartz
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  7. Christian Dirschl
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Corresponding author

Correspondence to Ademar Crotti Junior .

Editor information

Editors and Affiliations

  1. University of Erlangen-Nuremberg, Nuremberg, Germany

    Andreas Harth

  2. National Research Council, Rome, Italy

    Valentina Presutti

  3. Eurecom, Sophia Antipolis, France

    Raphaël Troncy

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Maribel Acosta

  5. Institute for Information Business at WU Wien, Vienna, Austria

    Axel Polleres

  6. Institute for Information Business at WU Wien, Vienna, Austria

    Javier D. Fernández

  7. Siemens AG Österreich, Vienna, Austria

    Josiane Xavier Parreira

  8. Linköping University, Linköping, Sweden

    Olaf Hartig

  9. Aalborg University, Aalborg, Denmark

    Katja Hose

  10. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Michael Cochez

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Crotti Junior, A. et al. (2020). Knowledge Graph-Based Legal Search over German Court Cases. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_44

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62326-5

  • Online ISBN: 978-3-030-62327-2

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