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These Are Your Rights A Natural Language Processing Approach to Automated RDF Licenses Generation

机译:这些是您对自动RDF许可证产生的自然语言处理方法的权利

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In the latest years, theWeb has seen an increasing interest in legal issues, concerning the use and re-use of online published material. In particular, several open issues affect the terms and conditions under which the data published on the Web is released to the users, and the users rights over such data. Though the number of licensed material on the Web is considerably increasing, the problem of generating machine readable licenses information is still unsolved. In this paper, we propose to adopt Natural Language Processing techniques to extract in an automated way the rights and conditions granted by a license, and we return the license in a machine readable format using RDF and adopting two well known vocabularies to model licenses. Experiments over a set of widely adopted licenses show the feasibility of the proposed approach.
机译:在最近几年,我们在越来越多的法律问题兴起,关于在线发布的材料的使用和重复使用。 特别是,几个开放问题会影响Web上发布的数据的术语和条件,该条款和条件将发布给用户以及用户权限在此类数据上。 虽然网络上的许可材料的数量显着增加,但是产生机器可读许可证信息的问题仍未解决。 在本文中,我们建议采用自动语言处理技术以自动化的方式提取许可证授予的权限和条件,我们使用RDF将许可证以机器可读格式返回,并采用两个众所周知的词汇表来模拟许可证。 一套广泛采用的许可证的实验表明了所提出的方法的可行性。

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