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Report on methods and algorithms for bootstrapping Semantic Web content from user repositories and reaching consensus on the use of semantics

机译:报告用于从用户存储库引导语义Web内容并就语义使用达成共识的方法和算法的报告

摘要

The INSEMTIVES projects explores two approaches to tackle the issue of missing semantic content in the semantic web: finding insentives to motivate the user to provide more annotation and minimizing the cold start issue to provide enough critical mass of annotation to the users so they can see the benefits of semantic content. In this deliverable, we discuss solutions for reaching a critical mass of quality semantic annotations. We describe two techniques to solve this issue: a) automatic bootstrapping of annotations from the user’s knowledge and the content of resources and b) consensus reaching techniques to ensure quality annotations that are understood and shared by most of the users of the semantic web.
机译:INSEMTIVES项目探索了两种方法来解决语义网中缺少语义内容的问题:寻找诱导用户激励的信息以提供更多注释,并最小化冷启动问题以向用户提供足够的临界注释量,以便他们可以看到语义内容的好处。在此交付成果中,我们讨论了达到一定质量的高质量语义注释的解决方案。我们描述了两种解决此问题的技术:a)从用户的知识和资源内容中自动引导注释,以及b)达成共识的技术,以确保大多数语义Web用户都能理解和共享注释的质量。

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