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语义网是我们所期望的吗?采用模式和内容驱动的挑战

Is the Semantic Web what we expected? Adoption Patterns and Content-driven Challenges
课程网址: http://videolectures.net/iswc2016_bizer_adoption_patterns/  
主讲教师: Christian Bizer
开课单位: 曼海姆大学
开课时间: 2016-11-10
课程语种: 英语
中文简介:
语义Web技术,如Linked Data和Schema.org,被大量网站用来支持其内容的自动处理。在演讲中,我将把语义网的最初愿景与关于在网络上采用语义网技术的经验发现进行对比。该分析将显示数据提供者的行为与语义网社区所设想的一致,但也将揭示现实世界采用模式严重偏离的领域。之后,我将讨论目前收养情况带来的挑战。为了应对这些挑战,我将举例说明实体协调、词汇匹配和数据质量评估技术,这些技术利用所提供的所有语义线索,同时容忍噪声和懒惰的数据提供者。
课程简介: Semantic Web technologies, such as Linked Data and Schema.org, are used by a significant number of websites to support the automated processing of their content. In the talk, I will contrast the original vision of the Semantic Web with empirical findings about the adoption of Semantic Web technologies on the Web. The analysis will show areas in which data providers behave as envisioned by the Semantic Web community but will also reveal areas in which real-world adoption patterns strongly deviate. Afterwards, I will discuss the challenges that result from the current adoption situation. To address these challenges, I will exemplify entity reconciliation, vocabulary matching, and data quality assessment techniques which exploit all semantic clues that are provided while being tolerant to noise and lazy data providers.
关 键 词: 模式挑战; 内容驱动; 语义技术
课程来源: 视频讲座网
数据采集: 2023-06-08:chenxin01
最后编审: 2023-06-08:chenxin01
阅读次数: 12