Skip to main content

Knowing the Law as a Prerequisite to Participative eGovernment: The Role of Semantic Technologies

  • Chapter
  • First Online:
Empowering Open and Collaborative Governance

Abstract

Active participation of EU citizens to their national and local decision-making process can only occur once they have a full knowledge of the transnational and national regulatory and institutional context. Despite their actual right to access legal documents, several barriers still prevent citizen against getting a true understanding of the effects brought about by normative changes and regulatory innovations. Linguistic and conceptual complexity of the legal domain is combined with technical barriers, and the availability of satisfactory, complete and reliable information services for legal experts and non-experts has still to come. This chapter focuses on the role ICT and, more specifically, semantic technologies play in providing powerful tools for bridging the gap between the two layers, that is, the formal and the conceptual aspects of legal knowledge, by guaranteeing not only formal access to the sources of the law but substantial knowledge of its content as well.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    “What is needed in forensic linguistics’ comprehensibility research is the following: a. A method to model the meaning (the semantics) of a text […] b. Text meaning representations must be automated. For practical reasons, we need a software tool, as lawyers and laymen shall also use comprehensibility tests. c. Inferences and interactions with connected pieces of knowledge must be shown […]. If expert knowledge is indispensable, the model must indicate it. d. The model must be empirically validated. It is necessary that psycholinguistic tests determining individual comprehension shape the model” (Rathert 2006). The quality of public documents is the object of the Plain English Campaign (http://www.plainenglish.co.uk), now extended to other languages than English.

  2. 2.

    Annex A of the Council Decision 2009/316/JHA of 6 April 2009 on the establishment of the European Criminal Records Information System (ECRIS) in application of Article 11 of Framework Decision 2009/315/JHA.

  3. 3.

    Initiatives on adoption of XML standards for the representation of legislative document structures and metadata have been brought on at both national and international levels in different countries in recent years. To cite the most successful, XML.gov in the USA and Crown XML Schema in the UK provide the most rich and complete datasets made available by governments in open XML. Other initiatives in European countries, like NIR (NormeInRete) standard in Italy or Metalex in the Netherlands, have also led to further development for a pan African standard (AkomaNtoso) and to the international initiative of Metalex/CEN global interchange standard of legal sources.

  4. 4.

    Eurlex document: A6-2008-0224.

  5. 5.

    SPOCS Deliverable D1.1 & D1.2, Survey of Syndication Solutions & Multilingualism, 2010, p. 29 http://www.eu-spocs.eu Accessed 18 Sep 2011.

  6. 6.

    Depending on the legal contexts, ‘prescrizione’ means ‘prescription’, ‘provision’ or ‘expiration of a right’.

  7. 7.

    Some examples include Functional Ontology of Law (Valente et al. 1999), LRI-Core (Breuker et al. 2005), Core Legal Ontology (Gangemi 2003) and LKIF-Core (Breuker et al. 2008).

  8. 8.

    By empirical evidence we refer here to the fact that concepts count with linguistic manifestations detected in domain relevant texts and can thus be expected to be part of the expert model of the domain.

  9. 9.

    For extensive reviews of currently available tools for terminology extraction and the domains to which they have been applied, see (Jacquemin and Bourigault 2003; Cabré et al. 2001).

  10. 10.

    http://www.dalosproject.eu (eParticipation 2006).

  11. 11.

    The tools specifically designed for processing English and other EU language texts are the already mentioned T2K and GATE. GATE owned and maintained by the Department of Computer Science of the University of Sheffield supports advanced language analysis, data visualisation and information sharing in many languages. GATE has facilities for viewing, editing and annotating corpora in a wide number of languages (based on Unicode) and has been used successfully for the creation, semi-automatic annotation and analysis of many electronic resources. It contains many modules for the annotation of textual material, such as parts of speech information, lemmatisation, conceptual indexing and semantic annotation.

  12. 12.

    The domain chosen as a case study in DALOS is consumer protection; the corpus is composed by 16 EU directives, 33 European Court of Justice judgments and 9 Court of First Instance judgments.

  13. 13.

    See http://www.w3.org/TR/wordnet-rdf/ Accessed 16 Sep 2011.

  14. 14.

    Web 2.0 can be generally described as an interactive Internet in which users not only consume but produce online content. Web 3.0 corresponds generally to the Semantic Web, namely, rendering accessible to the computer the semantics of documents.

  15. 15.

    Laymen terminology was extracted from a diachronic corpus of around 10,000 questions and 20,000 complaints that have been addressed by consumers to the Catalan Consumer Agency from 2007 to 2010. Complex terms were extracted on the basis of morphosyntactic patterns (Fernández-Barrera and Casanovas 2011).

  16. 16.

    http://www.data.gov Accessed 20 Sep 2011.

  17. 17.

    http://data.worldbank.org Accessed 20 Sep 2011.

  18. 18.

    http://www.data.gov/communities/law Accessed 20 Sep 2011.

  19. 19.

    The site makes available datasets beyond traditional legal sources and with different legal value, such as administrative decisions, case filings, legal interpretations and agency directives (http://www.data.gov/communities/law).

  20. 20.

    It is not yet clear how the tasks of publishing raw data and developing applications for consuming them will be distributed among private and public actors. Some authors have proposed that governments should limit their role to the publication of open data in easily reusable formats so that private parties can concentrate their efforts in the development of advanced applications for consuming data in a tailored way (Robinson et al. 2009).

  21. 21.

    On the different aspects of open access to information (economic, legal and technical open access), see Dulong de Rosnay (2010).

References

  • Agnoloni T (2011) Opening public data: a path towards innovative legal services, presentation at the Law via the Internet 2011 Conference, (Hong Kong, 9–10 June 2011), http://www.hklii.hk/conference Accessed 15 Sep 2011

  • Agnoloni T, Bacci L, Francesconi E (2008) Ontology based legislative drafting: design and implementation of a multilingual knowledge resource. In: Knowledge engineering: practice and patterns, Proceedings of the 16th International Conference EKAW 2008, Springer, Berlin, 2008, pp 364–373

    Google Scholar 

  • Ajani G (2007) Coherence of terminology and search functions. In: 25 Years of European Law Online, Publications Office of the EC, Luxembourg, 2007, pp 129–136

    Google Scholar 

  • Allen LE, Engholm CR (1980) The need for clear structure in plain language legal drafting. U Mich J L Reform 13:455–513

    Google Scholar 

  • Biagioli C, Mercatali P, Sartor G (eds) (1995) Legimatica: iformatica per legiferare. ESI, Napoli

    Google Scholar 

  • Berners-Lee T (2009) Putting government data online. http://www.w3.org/DesignIssues/GovData.html. Accessed 15 Sep 2011.

  • Biasiotti MA, Tiscornia D (2011) Legal ontologies: the linguistic perspective. In: Sartor G, Casanovas P, Biasiotti MA, Fernández-Barrera M (eds) Approaches to legal ontologies, theories, domains, methodologies. Springer, Berlin, pp 143–166

    Chapter  Google Scholar 

  • Bommarito M, Katz D, Zelner J (2009) Law as a seamless Web? Comparing various network representations of the United States Supreme Court corpus (1791–2005). In: Proceedings of the 12th International Conference on Artificial Intelligence and Law (ICAIL 2009 – UAB Barcelona), ACM Press, New York, pp 234–236

    Google Scholar 

  • Bonin F, Dell’ Orletta F, Venturi G, Montemagni S (2010) A Contrastive Approach to Multi-word Term Extraction from Domain Corpora. In: Proceedings of the 7th international conference on language resources and evaluation (LREC 2010), La Valletta, Malta, 19–21 May, pp 3222–3229

    Google Scholar 

  • Breuker J, Valente A, Winkels R (2005) Use and reuse of legal ontologies in knowledge engineering and information management. In: Benjamins VR, Casanovas P, Breuker J, Gangemi A (eds) Law and the semantic web. Springer, Berlin, pp 36–64

    Chapter  Google Scholar 

  • Breuker J, Hoekstra R, Boer A (eds) (2008) OWL ontology of basic legal concepts (LKIF-Core). Deliverable 1.4 http://www.estrellaproject.org/doc/D1.4-OWL-Ontology-of-Basic-Legal-Concepts.pdf. Accessed 15 Sep 2011

  • Buitelaar P, Cimiano P, Magnini B (2005) Ontology learning from text: an overview. In: Buitelaar P, Cimiano P, Magnini B (eds) Ontology learning from text: methods, evaluation and applications, vol 123, Frontiers in artificial intelligence and applications series. IOS Press, Amsterdam

    Google Scholar 

  • Cabré MT, Estopà R, Vivaldi J (2001) Automatic term detection: a review of current systems. In: Bourigault D et al (eds) Recent advances in computational terminology. John Benjamins, Amsterdam, pp 53–87

    Google Scholar 

  • Cabré MT, Condamines A, Ibekwe-SanJuan F (2007) Introduction: application-driven terminology engineering. In: Cabré MT, Condamines A, Ibekwe-SanJuan F (eds) Application-driven terminology engineering. John Benjamins, Amsterdam, pp 1–17

    Google Scholar 

  • Casellas N (2008) Modelling legal knowledge through ontologies. OPJK: the ontology of professional judicial knowledge, PhD thesis, Faculty of Law, Universitat Autònoma de Barcelona, Spain

    Google Scholar 

  • de Maat E, Krabben K, Winkels R (2010) Machine learning versus knowledge based classification of legal texts. Legal knowledge and information systems – JURIX 2010: The Twenty-Third Annual Conference, Frontiers in Artificial Intelligence and Applications, vol 223

    Google Scholar 

  • Ding L, Difranzo D, Graves A, Michaelis J, Li X, McGuinness D, Hendler J (2010) Data-gov Wiki: towards linking government data. In: 2010 AAAI Spring Symposium Series, AAAI Publications

    Google Scholar 

  • Dizon MAC (2010) Participatory democracy and information and communications technology: A legal pluralist perspective. Eur J Law Technol 1(3)

    Google Scholar 

  • Fernández-Barrera M, Casanovas P (2012) Towards the intelligent processing of non-expert generated content: Mapping web 2.0 data with ontologies in the domain of consumer mediation. Language Resources and Evaluation Conference 2012 Proceedings, Istanbul, Turkey

    Google Scholar 

  • Francesconi E (2010) A learning approach for knowledge acquisition in the legal domain. In: Sartor G, Casanovas P, Biasiotti M, Fernández-Barrera M (eds) Approaches to legal ontologies: theories, domains, methodologies. Springer, Berlin

    Google Scholar 

  • Francesconi E, Montemagni S, Peters W, Tiscornia D (eds) (2010) Semantic processing of legal texts. Where the language of law meets the law of language XII. Springer, Berlin

    Google Scholar 

  • Gangemi A, Sagri MT, Tiscornia D (2003) A constructive framework for legal ontologies. Law Semant Web 97–124

    Google Scholar 

  • Gruber TR (1993) A translation approach to portable ontology specification. J Knowl Acquis 5(2), Special issue: Current issues in knowledge modeling

    Google Scholar 

  • Hart HL (1961) The concept of law. Clarendon Press, Oxford

    Google Scholar 

  • Herberger M (2006) Der Zugang zum Recht. In: 25 Years of European Law on Line. OPOCE, 2006, Luxemburg, p 38

    Google Scholar 

  • Holmes N (2011) Accessible Law. http://blog.law.cornell.edu/voxpop/2011/02/15/accessible-law Accessed 12 Sep 2011

  • Jacquemin C, Bourigault D (2003) Term extraction and automatic indexing. In: Mitkov R (ed) The Oxford handbook of computational linguistics. Oxford University Press, Oxford, pp 599–615

    Google Scholar 

  • Jacquemin C (1997). Variation terminologique : reconnaissance et acquisition automatique de termes et de leurs variantes en corpus. Habilitation à diriger des recherches en informatique, Université de Nantes, Nantes

    Google Scholar 

  • Lampathaki F, Koussouris S, Passas S, Mouzakitis S, Tsavdaris H, Charalabidis Y, Dimitris Askounis D, Osimo D, De Luca A, Bicking M, Wimmer M (2010) CROSSROAD Project. State of the art analysis. Deliverable. D.1.2, p.280. Available at: http://crossroad.epu.ntua.gr/files/2010/04/CROSSROAD-D1.2-State-of-the-Art-Analysis-v1.00.pdf Accessed 15 Sep 2011

  • Lebarbé T (2007) LexTract: Extraction semi-automatique de termes à portée juridique. Revue électronique Texte et corpus, n°3 / août 2008, Actes des Journées de la linguistique de Corpus 2007, pp 197–205 http://web.univ-ubs.fr/corpus/jlc5/ACTES/ACTES_JLC07_lebarbe.pdf Accessed 15 Sep 2011

  • Lenci A, Montemagni S, Pirrelli V, Venturi G (2009) Ontology learning from Italian legal texts. In: Breuker J, Casanovas P, Klein M, Francesconi E (eds) Law, ontologies and the semantic web- channelling the legal information flood, Frontiers in artificial intelligence and applications. IOS Press, Amsterdam, pp 75–94

    Google Scholar 

  • Mochales Palau R, Moens M-F (2009) Argumentation mining: the detection, classification and structure of arguments in text. In: Proceedings of the 12th International Conference on Artificial Intelligence and Law, 08–12 June 2009, Barcelona, Spain

    Google Scholar 

  • Noriega P, López C (2009) Toward a platform for online mediation. In: Poblet M, Shield U, Zeleznikow J (eds) Proceedings of the workshop on legal and negotiation support systems 2009, in conjunction with the 12th International conference on artificial intelligence and law (ICAIL 2009), Barcelona, June 12th (2009), IDT Series 5, pp 67–75

    Google Scholar 

  • Pagallo U (2007) “Small world” paradigm and empirical research in legal ontologies: a topological approach. In: Ajani G, Peruginelli G, Sartor G, Tiscornia D (eds) The multilanguage complexity of european law: methodologies in comparison. European Press Academic Publishing, Florence, pp 195–210

    Google Scholar 

  • Pazienza MT, Pennacchiotti M, Zanzotto FM (2005) Terminology extraction: an analysis of linguistic and statistical approaches. Stud Fuzziness Soft Comput 185:255–280

    Article  Google Scholar 

  • Peters W, Sagri MT, Tiscornia D (2007) The structuring of legal knowledge in LOIS. J Artif Intell Law 15:117–135

    Article  Google Scholar 

  • Poblet M, Casellas N, Torralba S, Casanovas P (2009) Modeling expert knowledge in the mediation domain: a mediation core ontology. In: Casellas N et al (eds) LOAIT- 2009. 3rd Workshop on legal ontologies and artificial intelligence techniques joint with 2nd workshop on semantic processing of legal texts. Barcelona, IDT Series, n. 2.

    Google Scholar 

  • Poblet M, Casanovas P, López-Cobo J.M (2010) Online dispute resolution for the next web decade: the ontomedia approach. Journal of universal computer science, Proceedings of the 10th international conference on knowledge management and knowledge technologies, Graz, Austria, pp 117–125

    Google Scholar 

  • Rathert M (2006) Comprehensibility in forensic linguistics – new perspectives for frame semantics. In: Brandt P, Fuß E (eds) Form, structure, and grammar. Studia grammatical 63. Akademie Verlag, Berlin

    Google Scholar 

  • Sheridan J (2010) legislation.gov.uk. LII / Legal Information Institute, Cornell University. http://blog.law.cornell.edu/voxpop/2010/08/15/legislationgovuk Accessed 15 Sep 2011

  • Toulmin S (1958) The uses of argument. Cambridge University Press, Cambridge

    Google Scholar 

  • Valente A, Breuker J, Brouwer B (1999) Legal modeling and automated reasoning with ONLINE. Int J Hum Comput Stud 51:1079–1125

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniela Tiscornia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Tiscornia, D., Fernández-Barrera, M. (2012). Knowing the Law as a Prerequisite to Participative eGovernment: The Role of Semantic Technologies. In: Charalabidis, Y., Koussouris, S. (eds) Empowering Open and Collaborative Governance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27219-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27219-6_7

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27218-9

  • Online ISBN: 978-3-642-27219-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics