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Abstract
Introduction
Protocol for the Systematic Mapping
Research Questions
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General Discussion
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Legal ontologies over time: A systematic mapping study

Profile image of Emanoel BarreirosEmanoel Barreiros

2019, Expert Systems with Applications

https://doi.org/10.1016/J.ESWA.2019.04.009
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Abstract

Over the last 30 years, AI & Law has provided breakthroughs in studies involving case-based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual models for knowledge representation and reasoning, known as Legal Ontologies. Ontologies have been widely used by legal practitioners, scholars, and lay people in a variety of situations, such as simulating legal actions, semantic search and indexing, and to keep up-to-date with the continual change of laws and regulations. Given the high number of legal ontologies produced, the need to summarize this research realm through a well-defined methodological procedure is urgent need. This study presents the results of a systematic mapping of the literature, aiming at categorizing legal ontologies along certain dimensions, such as purpose, level of generality, underlying legal theories, among other aspects. The reasons to carry out a systematic mapping are twofold: in addition to explaining the maturation of the area over recent decades, it helps to avoid the old problem of reinventing the wheel. Through organizing and classifying what has already been produced, it is possible to realize that the development of legal ontologies can rise to the level of reusability where prefabricated models might be coupled with new and more complex ontologies for practical law.

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References (105)

  1. Abrahams, B. , Condliffe, P. , & Zeleznikow, J. (2011). Using an owl ontology to support legal negotiation about owners corporation disputes. In Proceedings of the 13th international conference on artificial intelligence and law (pp. 194-198). New York, NY, USA: ACM . ICAIL '11.
  2. Adams, W. A. (2008). A transdisciplinary ontology of innovation governance. Artifi- cial Intelligence and Law, 16 (2), 147-174 .
  3. Agnoloni, T. , & Francesconi, E. (2011). Modelling semantic profiles in legislative doc- uments for enhanced norm accessibility. In ICAIL (pp. 111-115). ACM .
  4. Agnoloni, T. , & Tiscornia, D. (2010). Semantic web standards and ontologies for leg- islative drafting support. In E. Tambouris, A. Macintosh, & O. Glassey (Eds.), Elec- tronic participation (pp. 184-196). Berlin, Heidelberg: Springer Berlin Heidelberg .
  5. Ajani, G. , Boella, G. , Caro, L. D. , Robaldo, L. , Humphreys, L. , Praduroux, S. , et al. (2016). The european taxonomy syllabus: A multi-lingual, multi-level on- tology framework to untangle the web of european legal terminology. Applied Ontology, 11 (4), 325-375 .
  6. Alexy, R. , & Pulido, C. (2007). Teoría de los derechos fundamentales. Colección El derecho y la justicia . Centro de Estudios Politicos y Constitucionales .
  7. Antunes, G. , Caetano, A. , & Borbinha, J. L. (2014). Enterprise architecture model anal- ysis using description logics. In EDOC workshops (pp. 237-244). IEEE Computer Society .
  8. Bagby, J. , & Mullen, T. (2007). Legal ontology of sales law application to ecommerce. Artificial Intelligence and Law, 15 (2), 155-170 .
  9. Barabucci, G. , Cervone, L. , Palmirani, M. , Peroni, S. , & Vitali, F. (2010). Multi-layer markup and ontological structures in akoma ntoso. In P. Casanovas, U. Pa- gallo, G. Sartor, & G. Ajani (Eds.), AI approaches to the complexity of legal sys- tems. Complex systems, the semantic web, ontologies, argumentation, and dialogue (pp. 133-149). Berlin, Heidelberg: Springer Berlin Heidelberg .
  10. Barabucci, G. , Di Iorio, A. , Poggi, F. , & Vitali, F. (2013). Integration of legal datasets: From meta-model to implementation. In Proceedings of international conference on information integration and web-based applications & services (pp. 585:585-585:594). New York, NY, USA: ACM . IIWAS '13.
  11. Bartolini, C. , Muthuri, R. , & Santos, C. (2017). Using ontologies to model data pro- tection requirements in workflows. In M. Otake, S. Kurahashi, Y. Ota, K. Satoh, & D. Bekki (Eds.), New frontiers in artificial intelligence (pp. 233-248). Cham: Springer International Publishing .
  12. Baumann, C. , & Loës, C. (2010). Formalizing copyright for the internet of services. In Proceedings of the 12th international conference on information integration and web-based applications iiWAS '10 (pp. 714-721). New York, NY, USA: ACM .
  13. Berners-Lee, T. , Hendler, J. , & Lassila, O. (2001). The semantic web. Scientific Ameri- can, 284 (5), 34-43 .
  14. Boella, G. , Lesmo, L. , & Damiano, R. (2004). On the ontological status of plans and norms. Artificial Intelligence and Law, 12 (4), 317-357 .
  15. Boonchom, V. , & Soonthornphisaj, N. (2012). ATOB algorithm: an automatic ontol- ogy construction for thai legal sentences retrieval. Journal of Information Science, 38 (1), 37-51 .
  16. Brank, J. , Grobelnik, M. , & Mladeni ć, D. (2005). A survey of ontology evaluation tech- niques. In Proceedings of the 8th international multi-conference information society (pp. 166-169) .
  17. Breaux, T. D. , & Powers, C. (2009). Early studies in acquiring evidentiary, reusable business process models for legal compliance. In 2009 Sixth international confer- ence on information technology: New generations (pp. 272-277). IEEE .
  18. Brest, P. (1980). The misconceived quest for the original understanding. Boston Uni- versity Law Review, 60 , 204-238 .
  19. Breuker, J. (2003). The construction and use of ontologies of criminal law in the ecourt European project. In V. Golaczynski (Ed.), Proceedings of means of elec- tronic communication in court administration (pp. 15-40) .
  20. Breuker, J. , Elhag, A. , Petkov, E. , & Winkels, R. (2002). Ontologies for legal informa- tion serving and knowledge management. In Legal knowledge and information systems -KAIS (pp. 73-82). IOS Press .
  21. Breuker, J. , & Hoekstra, R. (2004a). Core concepts of law: taking common-sense se- riously. In Proceedings of formal ontologies in information systems (pp. 210-221). IOS Press . FOIS.
  22. Breuker, J. , & Hoekstra, R. (2004b). Epistemology and ontology in core ontologies: Folaw and lri-core, two core ontologies for law. In In proceedings of the ekaw04 workshop on core ontologies in ontology engineering (pp. 15-27). Northampton- shire, UK .
  23. Brighi, R. (2004). An ontology for linkups between norms. In International workshop on database and expert systems applications (pp. 122-126). IEEE Computer Soci- ety .
  24. Britz, K. , Meyer, T. , & Varzinczak, I. (2011). Semantic foundation for preferential de- scription logics. In D. Wang, & M. Reynolds (Eds.), Ai 2011: Advances in artificial intelligence (pp. 491-500). Berlin, Heidelberg: Springer Berlin Heidelberg .
  25. Bruckschen, M. , Northfleet, C. , Silva, D. , Bridi, P. , Granada, R. , Vieira, R. , et al. (2010). Named entity recognition in the legal domain for ontology population. In 3rd Workshop on semantic processing of legal texts (pp. 16-21) .
  26. Buey, M. G. , Garrido, A. L. , Bobed, C. , & Ilarri, S. (2016). The AIS project: Boosting information extraction from legal documents by using ontologies. In ICAART (2) (pp. 438-445). SciTePress .
  27. Bui, T. D. , Nguyen, S. T. , & Ho, Q. B. (2014). Towards a conceptual search for viet- namese legal text. In K. Saeed, & V. Snášel (Eds.), Computer information systems and industrial management (pp. 175-185). Berlin, Heidelberg: Springer Berlin Heidelberg .
  28. Cappelli, A. , Bartalesi, V. , Sprugnoli, R. , & Biagioli, C. (2007). Modelization of domain concepts extracted from the italian privacy legislation. In Proceedings of the 7th international workshop on computational semantics (pp. 1-4) . IWCS.
  29. Casellas, N. (2011). Legal ontology engineering: Methodologies, modelling trends, and the ontology of professional judicial knowledge. Law, Governance and Tech- nology Series . Netherlands: Springer .
  30. Casellas, N. , Casanovas, P. , Vallbé, J.-J. , Poblet, M. , Blázquez, M. , Contreras, J. , et al. (2007). Semantic enhancement for legal information retrieval: Iuriservice performance. In Proceedings of the 11th international conference on artificial intel- ligence and law (pp. 49-57). New York, NY, USA: ACM . ICAIL '07.
  31. Casellas, N. , Nieto, J. , Meroño, A. , Roig, A. , Torralba, S. , Reyes, M. , & Casanovas, P. (2010). Ontological semantics for data privacy compliance: The NEURONA project. In AAAI spring symposium: Intelligent information privacy management (pp. 34-38). AAAI .
  32. Ceci, M. , & Gangemi, A. (2016). An OWL ontology library representing judicial inter- pretations. Semantic Web, 7 (3), 229-253 .
  33. Cernian, A. , Carstoiu, D. , Vasilescu, O. , & Olteanu, A. (2013). Ontolaw -Ontology based legal management and information retrieval system. In Control engineer- ing and applied informatics: 15 (pp. 77-85) .
  34. Cevenini, C. , Contissa, G. , Laukyte, M. , Riveret, R. , & Rubino, R. (2008). Develop- ment of the ALIS IP ontology: Merging legal and technical perspectives. In G. Cascini (Ed.), Computer-aided innovation (CAI) (pp. 169-180). Boston, MA: Springer US .
  35. Corcho, O. , Fernández-López, M. , Gómez-Pérez, A. , & López-Cima, A. (2005). Building legal ontologies with methontology and webode. In V. R. Ben- jamins, P. Casanovas, J. Breuker, & A. Gangemi (Eds.), Law and the semantic web: Legal ontologies, methodologies, legal information retrieval, and applications (pp. 142-157)). Berlin, Heidelberg: Springer Berlin Heidelberg .
  36. Cornoiu, S. , & Valean, H. (2015). Improving legal information retrieval using the wikipedia knowledge base, legal ontology and the eurovoc thesaurus. In 2015 19th International conference on system theory, control and computing (ICSTCC) (pp. 111-116). IEEE .
  37. Costilla, C. , Palacios, J. P. , Cremades, J. , & Vila, J. (2005). e-government: A legisla- tive ontology for the 'SIAP' parliamentary management system. In M. Böhlen, J. Gamper, W. Polasek, & M. A. Wimmer (Eds.), E-government: Towards electronic democracy (pp. 134-146). Berlin, Heidelberg: Springer Berlin Heidelberg .
  38. Delgado, J. , Gallego, I. , Llorente, S. , & García, R. (2003). Ipronto: An ontology for digital rights management. In 16th Annual conference on legal knowledge and in- formation systems of frontiers in artificial intelligence and applications . In JURIX: 106 (pp. 111-120). IOS Press .
  39. Distinto, I. , d'Aquin, M. , & Motta, E. (2016). LOTED2: An ontology of European public procurement notices. Semantic Web, 7 (3), 267-293 .
  40. Drumond, L. , & Girardi, R. (2008). A multi-agent legal recommender system. Artifi- cial Intelligence and Law, 16 (2), 175-207 .
  41. Freitas, F. , Candeias, Z. , & Stuckenschmidt, H. (2011). Towards checking laws' consis- tency through ontology design: The case of brazilian vehicles' laws. Journal of Theoretical and Applied Electronic Commerce Research, 6 (1), 112-126 .
  42. Gangemi, A. , Sagri, M. , & Tiscornia, D. (2003). A constructive framework for legal ontologies. In Law and the semantic web: 3369 (pp. 97-124) .
  43. Ghosh, M. E. , Naja, H. , Abdulrab, H. , & Khalil, M. (2017). Towards a legal rule-based system grounded on the integration of criminal domain ontology and rules. In KES . In Procedia Computer Science: 112 (pp. 632-642). Elsevier .
  44. Gómez-Pérez, A. , Ortiz-Rodríguez, F. , & Villazón-Terrazas, B. (2006). Legal ontologies for the spanish e-government. In R. Marín, E. Onaindía, A. Bugarín, & J. Santos (Eds.), Current topics in artificial intelligence (pp. 301-310). Berlin, Heidelberg: Springer Berlin Heidelberg .
  45. Gostojic, S. , Milosavljevic, B. , & Konjovic, Z. (2013). Ontological model of legal norms for creating and using legislation. Computer Science and Information Systems, 10 (1), 151-171 .
  46. de Gracia Carrión Delgado, M. (2015). Conceptual representation of expert knowl- edge in fungramkb: The derivation process in several typical crimes of criminal law. Procedia -Social and Behavioral Sciences, 212 , 166-173 .
  47. Greco, R. (2017). Curso de direito penal -parte geral. Coleção Rogério Greco : 1 (18th). Niterói, RJ, Brazil: Editora Impetus .
  48. Griffo, C. , Almeida, J. P. A. , & Guizzardi, G. (2015). A systematic mapping of the lit- erature on legal core ontologies. . In F. Freitas, & F. A. Baião (Eds.), Ontobras . In CEUR Workshop Proceedings: 1442 . CEUR-WS.org .
  49. Griffo, C. , Almeida, J. P. A. , & Guizzardi, G. (2016). A pattern for the representation of legal relations in a legal core ontology. In JURIX . In Frontiers in artificial intel- ligence and applications: 294 (pp. 191-194). IOS Press .
  50. Guizzardi, G. (2005). Ontological foundations for structural conceptual models .
  51. Hage, J. , & Verheij, B. (1999). The law as a dynamic interconnected system of states of affairs: A legal top ontology. International Journal of Human-Computer Studies, 51 (6), 1043-1077 .
  52. Hart, H. , Raz, J. , Green, L. , & Bulloch, P. A. (2012). The concept of law. Clarendon Law Series . OUP Oxford .
  53. Hoekstra, R. , Breuker, J. , Di Bello, M. , & Boer, A. (2009). Lkif core: Principled on- tology development for the legal domain. In Proceedings of the 2009 conference on law, ontologies and the semantic web: Channelling the legal information flood (pp. 21-52). Amsterdam, The Netherlands, The Netherlands: IOS Press .
  54. Hohfeld, W. N. (1913). Some fundamental legal conceptions as applied in judicial reasoning. The Yale Law Journal, 23 (1), 16-59 .
  55. Hu, Y.-J. , Wu, W.-N. , & Yang, J.-J. (2011). Semantics-enabled policies for information sharing and protection in the cloud. In A. Datta, S. Shulman, B. Zheng, S.-D. Lin, A. Sun, & E.-P. Lim (Eds.), Social informatics (pp. 198-211). Berlin, Heidelberg: Springer Berlin Heidelberg .
  56. Jarrar, M. , Verlinden, R. , & Meersman, R. (2003). Ontology-based customer com- plaint management. In R. Meersman, & Z. Tari (Eds.), On the move to meaningful internet systems 20 03: Otm 20 03 workshops (pp. 594-606). Berlin, Heidelberg: Springer Berlin Heidelberg .
  57. Jinhyung , Hwang, M. , Jung, H. , & Sung, W. (2012). ilaw: Semantic web technology based intelligent legislation supporting system. International Journal of Informa- tion Processing and Management, 3 , 45-49 .
  58. Kitchenham, B. , & Charters, S. (2007). Guidelines for performing systematic litera- ture reviews in software engineering. Technical Report EBSE 20 07-0 01 . Keele Uni- versity and Durham University Joint Report .
  59. Kitchenham, B. A. , Budgen, D. , & Brereton, O. P. (2010). The value of mapping stud- ies: A participant observer case study. In Proceedings of the 14th international conference on evaluation and assessment in software engineering (pp. 25-33). Swinton, UK, UK: British Computer Society . EASE'10.
  60. Korobkin, R. B. (20 0 0). A positive theory of legal negotiation. Georgetown Law Jour- nal, 88 , 1789-1831 .
  61. Kurematsu, M. , & Yamaguchi, T. (1997). A legal ontology refinement support en- vironment using a machine-readable dictionary. Artificial Intelligence and Law, 5 (1), 119-137 .
  62. Lee, S. , Kim, P. , Seo, D. , Kim, J. , Lee, J. , Jung, H. , & Dirschl, C. (2011). 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) .
  63. Lehmann, J. , Breuker, J. , & Brouwer, B. (2004). Causation in AI and law. Artificial Intelligence and Law, 12 (4), 279-315 .
  64. Lovrencic, S. , & Tomac, I. J. (2006). Managing understatements in legislation acts when developing legal ontologies. In 2006 International conference on intelligent engineering systems (pp. 69-73) .
  65. Lu, W. , & Ikeda, M. (2008). A uniform conceptual model for knowledge manage- ment of international copyright law. Journal of Information Science, 34 (1), 93- 109 .
  66. Lu, W. , Xiong, N. , & Park, D.-S. (2012). An ontological approach to support legal in- formation modeling. The Journal of Supercomputing, 62 (1), 53-67 .
  67. Machado, A. L. , & Oliveira, J. M. P. (2014). A legal ontology of relationships for civil law system. In Proceedings of the 1st joint workshop ONTO.COM / ODISE on on- tologies in conceptual modeling and information systems engineering (pp. 1-11) .
  68. Marmor, A. (2016). The pure theory of law. In E. N. Zalta (Ed.), The Stanford encyclo- pedia of philosophy (Spring). Metaphysics Research Lab, Stanford University .
  69. McCarty, L. T. (1977). Reflections on "taxman": An experiment in artificial intelli- gence and legal reasoning. Harvard Law Review, 90 (5), 837-893 .
  70. McCarty, L. T. (1989). A language for legal discourse I. Basic features. In Proceedings of the 2nd international conference on artificial intelligence and law (pp. 180-189). New York, NY, USA: ACM . ICAIL '89.
  71. McClure, J. (2007). The legal-rdf ontology. A generic model for legal documents. In LOAIT . In CEUR Workshop Proceedings: 321 (pp. 25-42). CEUR-WS.org .
  72. Mimouni, N. (2013). Modeling legal documents as typed linked data for relational querying. In Docope@jurix . In CEUR Workshop Proceedings: 1105 . CEUR-WS.org .
  73. Mitre, H. A. , González-Tablas, A. I. , Ramos, B. , & Ribagorda, A. (2006). A legal ontol- ogy to support privacy preservation in location-based services. In R. Meersman, Z. Tari, & P. Herrero (Eds.), On the move to meaningful internet systems 2006: Otm 2006 workshops (pp. 1755-1764). Berlin, Heidelberg: Springer Berlin Heidelberg .
  74. Mittal, S. , Joshi, K. P. , Pearce, C. , & Joshi, A. (2016). Automatic extraction of metrics from slas for cloud service management. In 2016 IEEE international conference on cloud engineering (ic2e) (pp. 139-142). IEEE .
  75. Mommers, L. (2003). Application of a knowledge-based ontology of the legal do- main in collaborative workspaces. In Proceedings of the 9th international confer- ence on artificial intelligence and law (pp. 70-76). New York, NY, USA: ACM . ICAIL '03. Nadah, N. , de Rosnay, M. D. , & Bachimont, B. (2007). Licensing digital content with a generic ontology: Escaping from the jungle of rights expression languages. In Proceedings of the 11th international conference on artificial intelligence and law (pp. 65-69). New York, NY, USA: ACM . ICAIL '07.
  76. Panagiotopoulos, P. , Gionis, G. , Psarras, J. , & Askounis, D. (2011). Supporting public decision making in policy deliberations: An ontological approach. Operational Research, 11 (3), 281-298 .
  77. Petersen, K. , Feldt, R. , Mujtaba, S. , & Mattsson, M. (2008). Systematic mapping stud- ies in software engineering. In Proceedings of the 12th international conference on evaluation and assessment in software engineering (pp. 68-77). Swinton, UK, UK: British Computer Society . EASE'08
  78. Petersen, K. , Vakkalanka, S. , & Kuzniarz, L. (2015). Guidelines for conducting sys- tematic mapping studies in software engineering: An update. Information and Software Technology, 64 (C), 1-18 .
  79. Rissland, E. L. (1988). Artificial intelligence and legal reasoning: A discussion of the field and Gardner's book. AI Magazine, 9 (3), 45-55 .
  80. Rodrigues, C. M. O. , Azevedo, R. R. , Freitas, F. L. G. , da Silva, E. P. , & da Silva Bar- ros, P. V. (2015). An ontological approach for simulating legal action in the brazilian penal code. In Proceedings of the 30th annual ACM symposium on ap- plied computing (pp. 376-381). New York, NY, USA: ACM . SAC '15.
  81. Rodrigues, C. M. O. , Freitas, F. L. G. , & Azevedo, R. R. (2016). An ontology for property crime based on events from ufo-b foundational ontology. In 2016 5th Brazilian conference on intelligent systems (bracis) (pp. 331-336). IEEE .
  82. Rodríguez-Doncel, V. , Santos, C. , & Casanovas, P. (2014). Ontology-driven legal sup- port-system in the air transport passenger domain. In Sw4law+dc@jurix: 1296 . CEUR-WS.org . CEUR Workshop Proceedings.
  83. Roussey, C. , Pinet, F. , Kang, M. A. , & Corcho, O. (2011). An introduction to on- tologies and ontology engineering. In Ontologies in urban development projects (pp. 9-38)). London: Springer London .
  84. Rubino, R. , Rotolo, A. , & Sartor, G. (2006). An owl ontology of fundamental legal concepts. In Annual conference frontiers in artificial intelligence and applications (pp. 101-110). Amsterdam, The Netherlands: IOS Press .
  85. Sagri, M. T. , & Tiscornia, D. (2003). Metadata for content description in legal infor- mation. In 14th International workshop on database and expert systems applica- tions, 2003. Proceedings. (pp. 745-749) .
  86. Salam, A. (2007). Design and implementation of semantic decision support sys- tem for supplier performance contract monitoring and execution: Integrating description logics, semantic web rules and service-oriented computing in the context of the extended enterprise. In Reaching new heights. 13th Americas con- ference on information systems, AMCIS 2007, keystone, Colorado, USA, august 9-12, 2007 (p. 293) .
  87. Samuels, A. (1985). De minimis non curat lex. Statute Law Review, 6 (1), 167-169 .
  88. Saravanan, M. , Ravindran, B. , & Raman, S. (2009). Improving legal information re- trieval using an ontological framework. Artificial Intelligence and Law, 17 (2), 101-124 .
  89. Shaheed, J. , Yip, A. , & Cunningham, J. (2005). A top-level language-biased legal on- tology. In Workshop proceedings, legal ontologies and artificial intelligence tech- niques, international association for artificial intelligence and law (pp. 13-24). Wolf Legal Publishers .
  90. Shankhdhar, G. K. , & Darbari, M. (2015). Legal semantic web-a recommendation system. International Journal of Applied Information Systems, 7 (3), 21-27 .
  91. Stolarski, P. , & Tomaszewski, T. (2008). Modeling and using polish legal knowledge- Commercial companies code ontology. In W. Abramowicz, & D. Fensel (Eds.), Business information systems (pp. 83-94). Berlin, Heidelberg: Springer Berlin Heidelberg .
  92. Studer, R. , Benjamins, V. R. , & Fensel, D. (1998). Knowledge engineering: Principles and methods. ,Data & Knowledge Engineering, 25 (1-2), 161-197 .
  93. Tantisripreecha, T. , & Soonthornphisaj, N. (2011). Supreme court sentences retrieval using thai law ontology. In S.-I. Ao, O. Castillo, & X. Huang (Eds.), Intelligent con- trol and computer engineering (pp. 177-189)). Dordrecht: Springer Netherlands .
  94. Tiscomia, D. (2001). Ontology-driven access to legal information. In 12th Interna- tional workshop on database and expert systems applications (pp. 792-796) .
  95. Tiscornia, D. (2006). The lois project: Lexical ontologies for legal information shar- ing. In Proceedings of of the v legislative xml workshop (pp. 189-204). European Press Academic Publishing .
  96. Uschold, M. , & Gruninger, M. (1996). Ontologies: Principles, methods, applications : 11 .
  97. Valente, A. , Breuker, J. , & Brouwer, B. (1999). Legal modeling and automated rea- soning with ON-LINE. International Journal of Human-Computer Studies, 51 (6), 1079-1125 .
  98. van de Ven, S. , Hoekstra, R. , Breuker, J. , Wortel, L. , & Ali, A. E. (2008). Judging amy: Automated legal assessment using OWL 2. In Proceedings of the fifth OWLED workshop on OWL: Experiences and directions, collocated with the 7th international semantic web conference (ISWC-2008), Karlsruhe, Germany, october 26-27 .
  99. van Kralingen, R. W. , Visser, P. R. S. , Bench-Capon, T. J. M. , & van den Herik, H. J. (1999). A principled approach to developing legal knowledge sys- tems. International Journal of Human-Computer Studies, 51 (6), 1127-1154 .
  100. van Laarschot, R. , Steenbergen, W. V. , Stuckenschmidt, H. , Lodder, A. R. , & van Harmelen, F. (2005). The legal concepts and the Layman's terms -bridging the gap through ontology-based reasoning about liability. In JURIX . In Frontiers in artificial intelligence and applications: 134 (pp. 115-125). IOS Press .
  101. Winkels, R. , Hoekstra, R. , & Hupkes, E. (2010). Normative reasoning with geo infor- mation. In Proceedings of the 1st international conference and exhibition on com- puting for geospatial research & application (pp. 16:1-16:7). New York, NY, USA: ACM . seriesCOM.Geo '10.
  102. Wohlin, C. , Runeson, P. , da Mota Silveira Neto, P. A. , Engstrõm, E. , do Carmo Machado, I. , & de Almeida, E. S. (2013). On the reliability of mapping studies in software engineering. Journal of Systems and Software, 86 (10), 2594-2610 .
  103. Wyner, A. , & Hoekstra, R. (2012). A legal case owl ontology with an instantiation of Popov v. Hayashi. Artificial Intelligence and Law, 20 (1), 83-107 .
  104. Zarri, G. P. (2007). Ontologies and reasoning techniques for (legal) intelligent infor- mation retrieval systems. Artificial Intelligence and Law, 15 (3), 251-279 .
  105. Zhang, N. , Pu, Y.-F. , & Wang, P. F. (2015). An ontology-based approach for chinese legal information retrieval. In The 5th international conference on computer engi- neering and networks: 259 (pp. 1-7) . CENet.

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