TermIt:管理规范词库

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2024-02-28 DOI:10.3233/sw-243547
P. Kremen, Michal Med, Miroslav Blasko, Lama Saeeda, Martin Ledvinka, Alan Buzek
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引用次数: 0

摘要

术语词库很受欢迎,因为它们是一种易于管理的折衷方案--领域专家对其有很好的理解,但又足够正式,可以促进语义搜索等用例。尽管如此,随着领域中词库规模和复杂性的增长,正确跟踪规范文档中的概念引用及其定义、不同文档中定义的概念之间的相互链接、保持所有概念在语义上的一致性并为后续概念建模做好准备,这些都是非常困难的,需要适当的工具支持。我们介绍的 TermIt 是一个基于网络的词库管理器,旨在支持基于法令、指令、标准和其他规范性文件创建词库。除了常见的编辑功能外,TermIt 还提供从文件中提取术语的功能,包括网络文件注释浏览器插件、跟踪文件中的术语定义、术语质量和本体正确性检查、术语含义的社区讨论以及不同词库间概念的无缝互联。我们还表明,与其他工具相比,TermIt 的功能更适合捷克共和国的电子政务应用场景。此外,我们还通过初步的用户体验评估说明了 TermIt 在这些场景中的可行性。
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TermIt: Managing normative thesauri
Thesauri are popular, as they represent a manageable compromise – they are well-understood by domain experts, yet formal enough to boost use cases like semantic search. Still, as the thesauri size and complexity grow in a domain, proper tracking of the concept references to their definitions in normative documents, interlinking concepts defined in different documents, and keeping all the concepts semantically consistent and ready for subsequent conceptual modeling, is difficult and requires adequate tool support. We present TermIt, a web-based thesauri manager aimed at supporting the creation of thesauri based on decrees, directives, standards, and other normative documents. In addition to common editing capabilities, TermIt offers term extraction from documents, including a web document annotation browser plug-in, tracking term definitions in documents, term quality and ontological correctness checking, community discussions over term meanings, and seamless interlinking of concepts across different thesauri. We also show that TermIt features better fit the E-government scenarios in the Czech Republic than other tools. Additionally, we present the feasibility of TermIt for these scenarios by preliminary user experience evaluation.
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来源期刊
Semantic Web
Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
8.30
自引率
6.70%
发文量
68
期刊介绍: The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.
期刊最新文献
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