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Automated Analysis and Interrelation of Legal Elements Based on Text Mining

机译:基于文本挖掘的法律要素自动分析和相互关联

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摘要

One of the most promising developments comes with the use of innovative technologies and thus with the availability of novel services. The combination of text mining with legal elements may contribute to the development of many innovative legal IS. Moreover, in the case of public administrations and governments, the distribution, availability, and access towards legal information are essential and urgent. On the other hand, legal data and law texts are a potential open government data category in order for innovation to be achieved, regarding the development of new, better, and more cost-effective services for citizens. Those data need to be available 24/7 basis and compliant towards a standard. Yet, there exist some severe issues at the moment regarding this access. This, in turn, makes the use of automated crawling and analysis more than difficult. This paper describes the “Peri Nomou” system: an innovative legal information system for Greek laws utilising text mining techniques to indexing legal documents, identifying correlations and dividing legal documents into their articles.
机译:最有前途的发展之一是使用创新技术,从而有了新颖的服务。文本挖掘与法律要素的结合可能有助于许多创新法律IS的发展。此外,对于公共行政部门和政府而言,分发,获取和获取法律信息至关重要且紧迫。另一方面,法律数据和法律文本是潜在的开放政府数据类别,以便在为公民开发新的,更好的和更具成本效益的服务方面实现创新。这些数据需要24/7全天候可用,并符合标准。但是,此访问目前存在一些严重问题。反过来,这使得使用自动爬网和分析变得更加困难。本文介绍了“ Peri Nomou”系统:这是一种创新的希腊法律法律信息系统,利用文本挖掘技术为法律文件建立索引,识别相关性并将法律文件划分为文章。

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