Termscape: Convergence in Hyperlocal Media through Coordinated Semantic Tagging

该项目研究了一种名为Termscape的新型协调语义标签方法的可行性，以支持约克市内超本地媒体的数字融合。Termscape基于十年的研发，使个人、社区和组织能够为其内容(新闻文章、博客文章、多媒体、推文、数据集等)添加丰富的上下文标签。语义分类的使用允许社区以联合的、紧急的和价值导向的方式在不同的平台和媒体上管理内容。其中一个输出是Termscape的通用技术验证和初始的“York Mesh”，以在约克市的所有形式的超本地化内容中提供无缝和集成的标记。。

This project examined the feasibility of a novel coordinated semantic tagging approach called Termscape to support digital convergence across hyperlocal media within the City of York.Termscape is based on a decade of R&D and enables individuals, communities and organisations to add rich contextual tags or to their content (news articles, blog posts, multimedia, tweets, datasets, etc). The use of semantic classification allows communities to curate content across diverse platforms and media in a federated, emergent and value-directed manner.One output has been a generic technology validation of Termscape and an initial ‘YorkMesh’ to provide seamless and integrative tagging across all forms of hyperlocal content in the City of York. .