翻译论证技术:在论证网络中进行一步改变的工程

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Web Semantics Pub Date : 2023-07-01 DOI:10.1016/j.websem.2023.100786
John Lawrence, Jacky Visser, Chris Reed
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引用次数: 0

摘要

随着2006年论证结构计算处理的代表性标准——论证交换格式(Argument Interchange Format)的建立,有可能为创建、消费、导航、分析、评估和操纵论证和辩论的各种服务、组件和工具的连贯集成制定一个愿景。这一愿景就是Rahwan等人(2007)奠定的理论基础和Bex等人(2013)描述的实际工程工作的论证网。在此期间,主要的挑战是通过将其工具和应用程序提供给更多的受众来展示论证网的实际和社会价值。本文列出了论证网以这种方式扩大规模的三种方法,每种方法都与BBC合作,每种方法都有不同的评估和影响。将这些技术转移到大型用户组为更大规模地采用论证网铺平了道路,并预示着从实验室到实际应用的转化,为从事论证技术的大量研究社区工作。
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Translational argument technology: Engineering a step change in the argument web

Following the establishment in 2006 of a representational standard for the computational handling of structures of argumentation, the Argument Interchange Format, it became possible to develop a vision for the coherent integration of multifarious services, components and tools that create, consume, navigate, analyse, evaluate and manipulate arguments and debates. This vision was the Argument Web with theoretical foundations laid by Rahwan et al. (2007), and practical engineering work described by Bex et al. (2013). Over the intervening period, the key challenge has been to demonstrate the practical and societal value of the Argument Web by taking its tools and applications to larger audiences. This paper lays out three approaches by which the Argument Web has been scaled up in this way, each in partnership with the BBC, and each with different kinds of evaluation and impact. Transitioning these technologies to large user groups paves the way for broader-scale uptake of the Argument Web and heralds the translation from lab to real-world application for a substantial research community working in argument technology.

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来源期刊
Journal of Web Semantics
Journal of Web Semantics 工程技术-计算机:人工智能
CiteScore
6.20
自引率
12.00%
发文量
22
审稿时长
14.6 weeks
期刊介绍: The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.
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