语义网技术:有效知识管理的关键:法律方面的案例研究

A. Dasgupta, V. K. Thomas
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引用次数: 0

摘要

经济全球化、高速互联网和卫星支持的电信为“知识管理”在学术和商业或商业信息的使用方面增加了一个新的维度。文献信息增长方式的质与量的变化以及专业用户求知行为的变化,对从事知识存储、管理和有效检索的专业人员提出了新的挑战。与10年或15年前相比,研究的性质也受到了影响,特别是在科学和技术领域,甚至在社会科学领域。与数字资源的在线访问和再利用相关的法律问题已经变得非常复杂,有时甚至令人困惑。对于图书馆员来说,如何有效地处理和管理这些数以百万计的数字形式的学术文献变得更加复杂。此外,数字版权管理(DRM)固有的跨学科特性和复杂性也加剧了这些问题。从法学对各种学科的适用性来看,法学是一个重要而复杂的领域。由于法律作为一门学科的巨大重要性,以及大量相关数字资源(即国际和国家法律数据库)的可用性,这一学科的研究已经产生了跨学科和多学科的学术文献,在广泛的领域具有潜在的应用。与大量在线数据库和资源相关的互操作性问题要求对元数据进行适当的管理,以实现有效的检索。考虑到所有这些问题,法律的各个方面及其阴影区域需要有效的元数据管理。的确,Internet的互操作性协议(z 39.50)促进了从任何域访问数据库或文件,并且还允许导出和导入数据。然而,从有效的、具有良好查全率和查准率的在线信息检索的角度来看,它变得更加困难和复杂。数字图书馆基础设施元数据平台关系矩阵的不足被认为是影响有效信息检索的因素。本研究认为语义web技术是克服元数据平台缺点的一种方法,在元数据平台中,元数据将以本体论语义的方式排列在类库结构中。考虑到所有这些因素,我们已经努力绘制了一个原型模型,其中法律的所有关键方面/隔离都映射到SKOS模型(简单知识组织系统)中,其中法律的方面将位于具有方面关系层次的本体语义矩阵中。这里的“关系”层次结构指的是类似辞典的切面结构,它们的排列表明了诸如UT(上术语)、BT(广义术语)、RT(相关术语)和NT(狭义术语)之类的关系。然后将这些方面映射到SKOS图中,然后将SKOS图中的关系方面转换为RDF:XML程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic Web Technology: A Key for Effective Knowledge Management: A Case Study on Facets of Law
Economic globalization, high speed internet and satellite supported telecommunication have added a new dimension to ‘Knowledge Management’ in terms of use of scholarly as well as business or commercial information. The qualitative and quantitative changes in the growth pattern of literature and information and changes in the knowledge seeking behaviour of specialized users throw up new challenges to professionals involved in the storage, management and effective retrieval of knowledge. The nature of research is also being affected compared to what it had been 10 or 15 years ago specially in the fields of science and technology and even in the social sciences. The legal issues associated with digital resources in terms of their online access and re-utilization have become very complex and sometimes confusing. To the librarian, the effective handling and management of these millions of pieces scholarly literature in digital form have become more complex. Besides, the inherent interdisciplinary character and complexities of digital rights management (DRM) adds to the problems. Law is an important and complex area seen from its applicability to varied disciplines. Due to the immense importance of law as a subject, and availability of plethora of related digital sources (i.e International & National Databases on Law), research and studies in this discipline have resulted in interdisciplinary and multidisciplinary scholarly literature with potential applications in a wide range of areas. The inter-operability issues associated with the large number of online databases and resources calls for proper metadata management for effective retrieval. Considering all these points, the facets of law and its penumbral areas need an effective management of metadata. It’s true that the interoperability protocols (z 39.50) of the Internet facilitate access to databases or files from any domain and also permit export and import of data. However, from the standpoint of effective online information retrieval with good recall and precision, it has become more difficult and complex. The shortcoming of the relational matrix of the metadata platform of the digital library infrastructure is seen as the factor affecting effective information retrieval. The semantic web technology is considered in this study as a way to overcome the shortcoming of the metadata platform, where the metadata will be arranged in an ontological semantic manner in a classaurus like structure. Considering all these factors, an effort has been made to draw a prototype model where all the key facets / isolates of Law are mapped into a SKOS model (Simple Knowledge Organization System), where the facets of law will be in an ontological semantic matrix with relational hierarchy of facets. Here the ‘relational’ hierarchy means the thesaurus like structure of the facets, where they are arranged indicating relationships such as UT (Upper term), BT (Broader term), RT (Related term), and NT (Narrower term). And then the facets are mapped into SKOS graph and then those relational facets of the SKOS graph are being translated into RDF:XML program.
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