A Semantic Retrieval System for Case Law

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Legal reasoning, the core of legal practice in many countries, is “stare decisis” and its soundness is usually strengthened by relevant case law consulted. However, the task of relevant case law access and retrieval is tiring to legal practitioners and constitutes a serious drain on their productivity. Existing efforts at addressing this problem are conceptional, restrictive or unreliable. Specifically, existing semantic retrieval (SR) systems for case law are desirous of exceptional retrieval precision. Ontology promises to meet this desire, if introduced to the SR system. As a consequence, an ontology-based SR system for case law has been built using the systems analysis and design methodology. In particular, the component-based software engineering and the agile methodologies are employed to implement the system. Finally, the search and retrieval performance of the resultant SR system has been evaluated using the heuristics evaluation method. The retrieval system has shown to have a search and retrieval performance of about 94 % precision, 80 % recall and 84 % F-measure. Overall, the paper implements the SR system for case law with excellent precision and affirms the superiority of ontology approach over other semantic approaches to SR systems for document retrieval in the legal domain.

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  • [1] J. P. Dick “Conceptual Retrieval and Case Law” ACM pp. 106–115 1991.

  • [2] J. Breuker and R. Winkels “Use and Reuse of Legal Ontologies in Knowledge Engineering and Information Management” ICAIL Workshop on Legal Ontologies and Web Based Legal Information Management. pp. 1–35 2003.

  • [3] N. Love and M. Genesereth “Computational Law” Proc. International Conference on Artificial Intelligence and Law (ICAIL’05) Bologna Italy pp. 205–209 2005. https://doi.org/10.1145/1165485.1165517

  • [4] G. Lame “Using NLP techniques to Identity Legal Ontology Components: Concepts and Relations” Artificial Intelligence and Law vol. 12 no. 4 pp. 379–396 2006. https://doi.org/10.1007/s10506-005-4160-3

  • [5] C. Stevens V. Barot and J. Carter “The Next Generation of Legal Expert Systems: New Dawn or False Dawn?” in M. Bramer M. Petridis and A. Hopgood (Eds.) Research and Development in Intelligent Systems XXVII. SGAI 2010 Springer-Verlag London 2010. https://doi.org/10.1007/978-0-85729-130-1_33

  • [6] N. I. Aniekwu Legal Methodology and Research in Nigeria: An Introduction. Mindex Publishing 2001.

  • [7] O. Aigbovo Introduction to Nigerian Legal system. Sylva Publishing Inc. 2009.

  • [8] H. Andersson “Computational Law: Law That Works Like Software” In R. H. Lee (Ed) CodeX- The Stanford Center for Legal Informatics. codex.stanford.edu. p. 25 2014.

  • [9] R. Gruner “Thinking Like a Lawyer: Expert Systems for Legal Analysis” Berkeley Technology Law Journal vol. 1 no. 2 pp. 259–328 1986.

  • [10] D. H. Berman and C. D. Hafner “The Potential of artificial intelligence to help solve the crisis in our legal system” Communications of the ACM vol. 32 no. 8 pp. 928–938 1989. https://doi.org/10.1145/65971.65972

  • [11] P. Jackson K. Al-Kofahi A. Tyrrell and A Vachher “Information Extraction from Case Law and Retrieval of Prior Cases” Artificial Intelligence Journal vol. 150 no. 1–2 pp. 239–290 2003. https://doi.org/10.1016/S0004-3702(03)00106-1

  • [12] E. M. Uijttenbroek A. R. Lodder M. C. A. Klein W. G. Rildeboer W. V. Steenbergen R. L. L. Sie P. E. M. Huygen and F. van Harmelen “Retrieval of Case Law to Provide Layman with Information about Liability: Preliminary Results of the BEST-Project” Computable Models of the LawLNCS vol. 4884 pp. 291–311 2008. https://doi.org/10.1007/978-3-540-85569-9_19

  • [13] A. Wyner and R. Hoekstra “A Legal Case OWL Ontology with an Instantiation of Popov v. Hayashi” The Knowledge Engineering Review vol. 14 no. 2 pp. 1–24 2010.

  • [14] A. Wyner R. M. Palau M. F. Moens and D. Milward “Approaches to Text Mining Arguments from Legal Cases” in Lecture Notes in Computer Science LNCS vol. 6036 pp. 60–79 2010. https://doi.org/10.1007/978-3-642-12837-0_4

  • [15] V. M. Naik and S. Lokhanday “Building a Legal Expert System for Legal Reasoning in Specific Domain- A Survey” International Journal of Computer Science & Information Technology (IJCSIT) vol. 4 no. 5 pp. 175–184 2012. https://doi.org/10.5121/ijcsit.2012.4514

  • [16] E. L. Rissland D. B. Skalak and M. T. Friedman “Case Retrieval through Multiple Indexing and Heuristic Search” IJCAI vol. 2 no. 901–908 2003.

  • [17] E. L. Rissland. K. Ashley and K. Branting “Case Based Reasoning and Law” The Knowledge Engineering Review vol. 20 no. 3 pp. 293–298 2006. https://doi.org/10.1017/S0269888906000701

  • [18] P. Condliffe B. Abrahams and J. Zeleznikow “An OWL Ontology and Bayesian Network to Support Legal Reasoning in the Owners Cooperation Domain” 2010. Available from: http://www.abs.gov.au [Accessed 14 August 2013]

  • [19] R. L. Marcus “The Impact of Computers on the Legal Profession: Evolution or Revolution?” Northern University Law Review. vol. 102 no. 4 pp. 1827–1865 2008.

  • [20] K. B. Mensah “Legal Control of Discretionary Powers in Ghana: Lessons from English Administrative Law Theory” Africa Focus vol. 14 no. 2 pp. 119–140 1998. https://doi.org/10.21825/af.v14i2.5549

  • [21] W. Lacey “Judicial Discretion and Human Rights: Expanding the Role of International Law in the Domestic Sphere” Melbourne Journal of International Law vol. 5 no. 25 2004.

  • [22] J. Franklin “Discussion paper: how much of commonsense and legal reasoning is formalizable? A review of conceptual obstacles” Law Probability and Risk vol. 11 no. 2-3 pp. 225–245 2012. https://doi.org/10.1093/lpr/mgs007

  • [23] E. P. Ebietomere and G. O. Ekuobase “Issues on Mobile Agent Technology Adoption” African Journal of Computing and ICT vol. 7 no. 1 pp. 21–32 2014.

  • [24] C. N. Caralt “Modelling Legal Knowledge through Ontologies. OPKJ: the Ontology of Professional Judicial Knowledge” Ph.D. Thesis Departament de Ciencia Polıtica i Dret Public Universitat Autonoma De Bercelona p. 527 2008.

  • [25] M. C. A. Klein W. V. Steenbergen E. M. Uijttenbroek A. R. Lodder and F. van Harmelen “Thesaurus-based Retrieval of Case Law” In the Proceedings of Jurix2006 pp. 61–70 2006.

  • [26] G. O. Ekuobase and E. P. Ebietomere “Ontology for Nigerian Case Laws” African Journal of Computing and ICT vol. 6 no. 2 pp. 177–194 2013.

  • [27] N. Zhang Y. Pu and P. Wang “An Ontology-based Approach for Chinese Legal Information Retrieval” In the Proceedings of Science CENet2015 Shanghai China vol. 259 2015. https://doi.org/10.22323/1.259.0076

  • [28] M. Costa O. Sousa and J. Neves “Managing Legal Precedents with Case Retrieval Nets” The Twelfth Conference on Legal Knowledge Based Systems JURIX 1999 Nijmegen pp. 13–22 1999.

  • [29] I. Crnkovic “Component-based Software Engineering – New Challenges in Software Development” Software Focus vol. 2 no. 4 pp. 127–133 2001. https://doi.org/10.1002/swf.45

  • [30] I. Crnkovic and M. Larsson “ Component-based Software Engineering – New Paradigm of Software Development” MIPRO 13pp 2001..

  • [31] I. Crnkovic S. Larsson and N. Chaudron “Component-based Development Process and Component Lifecycle” Journal of Computing and Information Technology vol. 13 no. 4 pp. 321–327 2005. https://doi.org/10.2498/cit.2005.04.10

  • [32] I. Sommerville Software Engineering Eight Edition. Pearson Education p. 868 2007.

  • [33] M. Novak and I. Svogor “Current Usage of Component Based Principles for Developing Web Applications with Frameworks: A Literature Review” Interdisciplinary Description of Complex Systems vol. 14 no. 2 pp. 253–276 2016. https://doi.org/10.7906/indecs.14.2.14

  • [34] V. Szalvay “An Introduction to Agile Software Development” Danube Technologies p. 11 2004.

  • [35] G. O. Ekuobase and E. A. Onibere “Scalability of Web Services Solutions Built on ROA” Canadian Journal of Pure and Applied Science. SENRA: British Columbia vol. 7 no. 1 pp. 2251–2270 2013.

  • [36] G. O. Ekuobase and I. Anyaorah “Tail Tolerance of Web Services Solution Built on Replication Oriented Architecture (ROA)” Canadian Journal of Pure and Applied Science. SENRA: British Columbia vol. 8 no. 2 pp. 2943–2954 2014.

  • [37] C. D. Manning M. Surdeanu J. Bauer J. Finkel J. B. Steven and D. McClosky “The Stanford CoreNLP Natural Language Processing Toolkit” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations pp. 55–60 2014. https://doi.org/10.3115/v1/P14-5010

  • [38] M. Khabsa S. Carman S. R Choudhury and C. L. Giles “A Framework for Bridging the Gap between Open Source Search Tools” In SIGIR 2012 Workshop on Open Source Information Retrieval pp. 32–39 2012.

  • [39] A. Trotman C. L. A. Clarke I. Ounis S. Culpepper M. Cartright and S. Geva “Open Source Information Retrieval: A Report on the SIGIR 2012 Workshop” ACM vol. 46 no. 2 pp. 95–101 2012. https://doi.org/10.1145/2422256.2422269

  • [40] E. P. Ebietomere “A Semantic Retrieval System for Nigerian Case Law” Ph.D. Thesis University of Benin Benin City p. 260 2018.

  • [41] J. Breuker R. Hoekstra A. Boer K. Berg G. Sartor R. Rubino A. Wyner and T. Bench-Capon “OWL Ontology of Basic Legal Concepts (LKIF-Core)” ESTRALLA p. 138 2007.

  • [42] G. Venturi and S. Montemagni ”Ontology Learning in Legal Domain: An Introduction” p. 80 2012. Available from: http://summerschoollex.cirsfid.unibo.it/wpcontent/uploads/2012/09/Ontology_Learning_in_the_legal_domain_an_introduction.pdf. [Accessed 17 July 2014]

  • [43] L. Hassan “Usability Evaluation Framework for E-commerce Websites in Developing Countries” Doctoral Thesis Loughborough University p. 372 2009.

  • [44] D. I. Zahran H. A. Al-Nualm M. J. Rutter and D. Benyon “A Comparative Approach to Web Evaluation and Website Evaluation Methods” International Journal of Public Information Systems vol. 1 pp. 20–39 2014.

  • [45] C. Paz-Trillo R. Wassermann and P. P. Braga “An Information Retrieval Application Using Ontology” Journal of Brazilian Computer Society vol. 11 no. 2 2005. https://doi.org/10.1007/BF03192373

  • [46] C. D. Manning P. Raghavan and H. Schutze An Introduction to Information Retrieval. Cambridge University Press Cambridge England p. 581 2009.

  • [47] M. F. Sanchez “Semantically Enhanced Information Retrieval: An Ontology-based Approach” Ph.D. Thesis Escuela Politécnica Superior Universidad Autonoma De Madrid p. 254 2009.

  • [48] P. Quaresma and T. Goncalves “Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Document” Semantic Processing of Legal Texts LNCS vol. 6036 Springer-Verlag Berlin Heidelberg pp. 44–59 2010. https://doi.org/10.1007/978-3-642-12837-0_3

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