Abstract
This article focuses on the problems of application of artificial intelligence to represent legal knowledge. The volume of legal knowledge used in practice is unusually large, and therefore the ontological knowledge representation is proposed to be used for semantic analysis, presentation and use of common vocabulary, and knowledge integration of problem domain. At the same time some features of legal knowledge representation in Ukraine have been taken into account. The software package has been developed to work with the ontology. The main features of the program complex, which has a Web-based interface and supports multi-user filling of the knowledge base, have been described. The crowdsourcing method is due to be used for filling the knowledge base of legal information. The success of this method is explained by the self-organization principle of information. However, as a result of such collective work a number of errors are identified, which are distributed throughout the structure of the ontology. The results of application of this program complex are discussed in the end of the article and the ways of improvement of the considered technique are planned.
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References
Ashley KD (1990) Modeling legal argument: reasoning with cases and hypotheticals. MIT Press, Cambridge
Ashley KD (2011) The case-based reasoning approach: ontologies for analogical legal argument. In: Sartor M, Casanovas P, Biasotti M, Barrera M (eds) Approaches to legal ontologies. Springer, New York
Ashley KD, Bridewell W (2010) Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings. Artif Intell Law 18(4):311–320
Baker C, Fillmore C, Cronin B (2003) The structure of the FrameNet data base. Int J Lexicogr 16(3):281–296
Bench-Capon T, Visser P (1997) Ontologies in legal information systems; the need for explicit specifications of domain conceptualisations. In: Proceedings of the 6th international conference on artificial intelligence and law. Melbourne, Australia, pp 132–141. http://www.egov.ufsc.br/portal/sites/default/files/anexos/5718-5710-1-PB.pdf
Biagioli C, Francesconi E, Passerini A, Montemagni S, Soria C (2005) Automatic semantics extraction in law documents. In: Proceedings of the 10th international conference on artificial intelligence and law, Bologna, Italy. http://www.dsi.unifi.it/~passe/papers/icail05.pdf. Accessed 10 Jan 2014
Boas H (2005) From theory to practice: frame semantics and the design of FrameNet. In: Langer S, Schnorbusch D (eds) Semantik im Lexikon, vol 479. Narr, Tübingen, pp 129–159
Boer A, Hoekstra R, Winkels R (2001) The CLIME ontology. In: Proceedings of the second international workshop on legal ontologies. Amsterdam, The Netherlands. https://www.google.com.ua/search?hl=ru&noj=1&biw=727&bih=851&q=The+CLIME+Ontology.&oq=The+CLIME+Ontology.&gs_l=serp.3...1003906.1003906.0.1004343.1.1.0.0.0.0.0.0..0.0....0...1c.1.31.serp..1.0.0.8Z3D7xpDM1c. Accessed 17 Oct 2013
Braun S, Kunzmann C, Schmidt A (2012) Semantic people tagging and ontology maturing: an enterprise social media approach to competence management. Int J Knowl Learn 8(1/2):86–111. doi:10.1504/IJKL.2012.047555
Breuker B, Winckels R (2003) Use and reuse of legal ontologies in knowledge engineering and information management. In: Proceedings of the workshop on legal ontologies and web based legal information management (ICAIL 2003). https://www.google.com.ua/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CCwQFjAA&url=http%3A%2F%2Fwww.researchgate.net%2Fpublication%2F221466074_Use_and_Reuse_of_Legal_Ontologies_in_Knowledge_Engineering_and_Information_Management%2Ffile%2F9fcfd50608d0daa3a6.pdf&ei=TMB_UtL3C4zEtAal-YGgBQ&usg=AFQjCNGpOxKMCOVyg0F2YAPSdmO7ECw1FA&bvm=bv.56146854,d.Yms. Accessed 30 Sept 2013
Breuker J, Valente A, Winkels R (2004) Legal ontologies in knowledge engineering and information management. Artif Intell Law 12:241–277. doi:10.1007/s10506-006-0002-1
Casanovas P, Casellas N, Tempich C, Vrandecic D, Richard B (2007) OPJK and DILIGENT: ontology modeling in a distributed environment. Artif Intell Law 15:171–186. doi:10.1007/s10506-007-9036-2
Castellas N (2011) Legal ontology engineering: methodologies, modelling trends, and the ontology of professional judicial knowledge (law, governance and technology series 3). Springer, Dordrecht. doi:10.107/978-94-007-1497-7
Delgado et al (2003) IPROnto: an ontology for digital rights management. In: JURIX 2003 frontiers in artificial intelligence and applications. IOS Press, pp 106. http://www.jurix.nl/pdf/j03-12.pdf. Accessed 30 Oct 2013
Ding Y, Foo S (2002) Ontology research and development, Part 1—a review of ontology generation. J Inf Sci. 28(2):123–136. http://www.ntu.edu.sg/home/sfoo/publications/2002/02jis01_fmt.pdf. Accessed 28 Sept 2013
Francesconi E, Montemagni S, Peters W, Tiscornia D (2010) Integrating a bottom-up and top-down methodology for building semantic resources for the multilingual legal domain. In: Francesconi E, Montemagni S, Peters W, Tiscornia D (eds) Semantic processing of legal texts: where the language of law meets the law of language, pp 95–121. doi:10.1007/978-3-642-12837-0_6
Gangemi A, Prisco A, Sagri MT, Steve G, Tiscornia D (2003) Some ontological tools to support legal regulatory compliance, with a case study. In: Workshop WORM Core, LNCS, Springer, pp 607–620. http://www.loa.istc.cnr.it/Papers/WORM-CORE.pdf. Accessed 29 Sept 2013
Gangemi A, Sagri M-T, Tiscornia D (2005) A constructive framework for legal ontologies. In: Benjamins VR, Casanovas P, Breuker J, Gangemi A (eds) Law and the semantic web. Springer, Berlin. http://books.google.com.ua/books?id=X243uD0HpE8C&pg=PA97&hl=ru&source=gbs_toc_r&cad=4#v=onepage&q&f=false. Accessed 19 Sept 2013
Garbarino C (2010) A model of legal systems as evolutionary networks: normative complexity and self-organization of clusters of rules. Bocconi University, Milan. http://ssrn.com/abstract=1601338. Accessed 28 Sept 2013
Gavrilova T, Khoroshevsky V (2001) Knowledge base of intelligent systems. Peter, Saint Petersburg
Golovchyner M (2011) Introduction to knowledge systems. Course of lectures. Tomsk. http://tic.tsu.ru/old/news/files/%D0%A1%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D1%8B%20%D0%B7%D0%BD%D0%B0%D0%BD%D0%B8%D0%B9.pdf. Accessed 10 Oct 2013
Gruber T (1995) Toward principles for the design of ontologies used for knowledge sharing. Int J Hum Comput Stud 43(5–6):907–928
Guizzardi G (2007) On ontology, ontologies, conceptualizations, modeling languages, and (meta)models. In: Vasilecas O, Edler J, Caplinskas A (eds) Frontiers in artificial intelligence and applications, databases and information systems IV, IOS Press, Amsterdã, pp 18–39. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.106.8491&rep=rep1&type=pdf. Accessed 13 Oct 2013
Haken H (2006) Information and self-organization: a macroscopic approach to complex systems, (3rd enlarged ed.). Springer, Berlim
Helbig H (2006) Knowledge representation and the semantics of natural language. Springer, Berlin
Henderson J, Bench-Capon T (2001) Dynamic arguments in a case law domain. In: ICAIL’01: Proceedings of the 8th international conference on artificial intelligence and law, ACM Press, New York, NY, USA, pp 60–69. doi:10.1145/383535.383542
Hohfeld W (1996) Fundamental legal conceptions as applied in legal reasoning. Yale University Press, London
Is Wikipedia more reliable than the Encyclopaedia Britannica? (2012) In: The straight dope. http://www.straightdope.com/columns/read/3061/is-wikipedia-more-reliable-than-the-encyclopaedia-britannica. Accessed 24 April 2013
Iskold A (2006) ChaCha: a human-powered search engine. Readwrite.com/2006/12/13/chacha_human-powered_search#awest=~okYwwu2SstHrnV. Accessed 16 Oct 2013
Jones T (2008) Artificial intelligence: a systems approach. Jones and Bartlett Publishers, Inc., Sudbury
Khala A (2012) On the construction of an ontology for the legal field with the use of technology METHONTOLOGY. National academy Sciences of Ukraine Collection of scientific works in Institute of problems of modeling in energetics. G.Puhova Prev Kiev 64:64–71. http://archive.nbuv.gov.ua/portal/natural/znpipm/2012_64/i64_st12.pdf. Accessed 25 May 2013
Klykov M, Grigoriev N, Balalaeva T (2007) Fundamentals of management. Khabarovsk Publisher DVGUPS. http://edu.dvgups.ru/METDOC/EKMEN/MEN/SIST_UPR/METOD/OSN_UPR/Klykov_25.htm. Accessed 22 Sept 2013
Kozaki K, Hayashi Y, Sasajima M, Tarumi S, Mizoguchi R (2008) Understanding semantic web applications. In: Proceedings of the 3-rd Asian semantic web conference (ASWC 2008), Feb 2–5, Bangkok, Thailand, pp 524–539
Lin H, Davis J, Zhou Y (2010) Ontological services using crowdsourcing. 21st Australasian conference on information systems ACIS2010, Proceedings. Brisbane. http://aisel.aisnet.org/acis2010/53 Accessed 17 Sept 2013
Masolo C, Vieu L, Bottazzi E, Catenacci C, Ferrario R, Gangemi A, Guarino N (2004) Social roles and their descriptions. In: Dubois D, Welty D, Williams M (eds) Principles of knowledge representation and reasoning: proceedings of the ninth international conference on principle of knowledge representation and reasoning (KR). http://www.aaai.org/Papers/KR/2004/KR04-029.pdf Accessed 21 Oct 2013
Mizoguchi R (2009) Yet another top-level ontology: YATO. In: Proceedings of the second interdisciplinary ontology meeting, Tokyo, Japan, pp 91–101. http://www.ei.sanken.osaka-u.ac.jp/hozo/onto_library/YAMATO101216.pdf. Accessed 13 Oct 2013
Mortensen J, Alexander P, Musen M, Noy N (2013) Crowdsourcing ontology verification. In: The 12th international semantic web conference (ISWC2013). http://www.stanford.edu/~natalya/papers/mortensen_icbo_2013.pdf. Accessed 23 Oct 2013
Muromtsev D (2007) Ontologic engineering of knowledge in Protégé system. SPb: SPb GU ITMO http://books.ifmo.ru/file/pdf/243.pdf. Accessed 23 April 2013
Nardi JC, Falbo RD, Almeida JP (2013) Foundational ontologies for semantic integration in EAI: a systematic literature review. In: Douligeris C et al (eds) I3E 2013, IFIP AICT 399, pp 238–249
Naydysh B (2004) Concepts of modern natural science. Alpha-M, Infra-M, Moscow
Nguyen V (2011) Ontologies and information systems: a literature survey. Defence science and technology organization, DSTO-TN-1002, Edinburg, South Australia, Australia. http://www.dsto.defence.gov.au/publications/scientific_record.php?record=10144. Accessed 21 Oct 2013
Noy N, McGuiness D (2001) Ontology development 101. Stanford knowledge systems laboratory technical report KSL-01-05 http://www.ksl.stanford.edu/people/dlm/papers/ontology-tutorial-noy-mcguinness.pdf. Accessed 14 Oct 2013
Oberle D et al (2007) DOLCE ergo SUMO: on foundational and domain models in the SmartWeb Integrated Ontology (SWIntO). J Web Semant 5:3. www.websemanticsjournal.org/index.php/ps/article/view/120. Accessed 11 Oct 2013
Peters W, Sagri M-T, Tiscornia D (2007) The structuring of legal knowledge in LOIS. Artif Intell Law 15:117–135. doi:10.1007/s10506-007-9034-4
Poblet M, Casanovas P, López-Cobo J-M, Castellas N (2011) ODR, Ontologies, and Web 2.0. J Univ Comput Sci. 17(4):618–634. http://www.researchgate.net/publication/258046605_ODR_Ontologies_and_Web_2.0
Pontin J (2007) Artificial intelligence, with help from the humans. NY Times, 25, March, 2007. http://www.nytimes.com/2007/03/25/business/yourmoney/25Stream.html?_r=0. Accessed 24 Oct 2013
Prigogin I, Stengers I (1986) Order out of chaos. New dialogue with nature. Progress, Moscow
Sarasua C, Simperl E, Noy N (2012) CrowdMap: crowdsourcing ontology alignment with microtasks. Lecture notes in computer science, 7649. In: The semantic web—ISWC 2012 11th international semantic web conference, Boston, MA, USA, 11–15 Nov. Proceedings, Part I. 525–541. http://www.stanford.edu/~natalya/papers/iswc2012_crowdmap.pdf. Accessed 20 Oct 2013
Saravanan M, Ravindran B, Raman S (2009) Improving legal information retrieval using an ontological framework. Artif Intell Law 17:101–124. doi:10.1007/s10506-009-9075-y
Sartor G (2009) Legal concepts as inferential nodes and ontological categories. Artif Intell Law 17(3):217–251
Scherp A, Saathoff C, Franz T, Staab S (2011) Designing core ontologies. Arbeitsberichte des Fachbereichs Informatik 5:1–61. http://www.uni-koblenz.de/~fb4reports/2011/2011_05_Arbeitsberichte.pdf Accessed 25 Oct 2013
Shapiro S (2004) A logic of arbitrary and indefinite objects. In: Proceedings of the ninth international conference on knowledge representation and reasoning (KR-2004). Menlo Park, California, pp 565–575
Sivakumar R, Arivoli P (2011) Ontology visualization PROTÉGÉ tools—a review. IJAIT 1(4):1–11. doi:10.5121/ijait.2011.1401
Sokolov A, Morozova O, Ivanov V (2010) A model of directed training on the basis of the ontological approach. Radioelectron Comput Syst 1(42):96–102
Solov’ev V, Dobrov B, Ivanov V, Lukashevich N (2006) Ontologies and thesaurus. Kazan State University. http://window.edu.ru/resource/722/41722. Accessed 30 Sept 2013
Soria C, Bartolini R, Lenci A, Montemagni S, Pirrelli V (2007) Automatic extraction of semantics in law documents. In: Biagioli C, Francesconi E, Sartor G (eds) Proceedings of the V Legislative XML workshop. European Press Academic Publishing, pp 253–266. http://www.researchgate.net/publication/221539373_Automatic_semantics_extraction_in_law_documents/file/d912f50d2f64a549ec.pdf
Sowa J (2000) Knowledge representation: logical, philosophical, and computational foundations. Brooks & Cole, Pacific Grove
Studer R, Benjamins V, Fensel D (1998) Knowledge engineering: principles and methods. Data Knowl Eng 25:161–197. http://www.it.iitb.ac.in/~palwencha/ES/Knowledge%20engineering%20-%20Principles%20and%20methods.pdf. Accessed 16 Oct 2013
Tatsyi V et al (2010) Semantic network of knowledge in science of law. In: Proceedings of the IASTED international conference on automation, control, and information technology. Anaheim, USA, ACTA Press
Treiblmayr M, Scheider S, Krüger A, Von der Linden M (2011) Integrating GI with non-GI services—showcasing interoperability in a heterogeneous service-oriented architecture. GeoInformatica 16:207–220
Trujillo B (2004) Self-organizing legal systems: precedent and variation in bankruptcy. Utah Law Rev 483: 483–562. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=924673
van Kralingen R (1995) Frame-based conceptual models of statute law. The Hague et al., Kluwer Law Int. https://openaccess.leidenuniv.nl/bitstream/handle/1887/3434/360_094.pdf?sequence=1. Accessed 17 Oct 2013
Van Noord J (2011) The wiki-fication of the world. In: Chicago tribune http://articles.chicagotribune.com/2011-03-03/news/ct-oped-0303-wiki-20110303_1_wikipedia-grass-roots-forces. Accessed 14 May 2013
Visser P, Bench-Capon T (1998) A comparison of four ontologies for the design of legal knowledge systems. Artif Intell Law 6:27–57
Wang Y, Tian Y, Hu K (2011) Semantic manipulations and formal ontology for machine learning based on concept algebra. Int J Cognit Inf Nat Intell 5(3):1–29
Zeng Y, Wang R, Zeleznikow J, Kemp EA (2005) Knowledge representation for the intelligent legal case retrieval. In: Khosla R, Howlett RJ, Jain LC (eds) KES (Part 1). Lecture notes in computer science, Springer, 3681:339–345. doi:10.1007/11552413_49
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Getman, A.P., Karasiuk, V.V. A crowdsourcing approach to building a legal ontology from text. Artif Intell Law 22, 313–335 (2014). https://doi.org/10.1007/s10506-014-9159-1
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DOI: https://doi.org/10.1007/s10506-014-9159-1