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通过大规模数据挖掘实现RDF本体(RE-)工程

RDF Ontology (Re-)Engineering through Large-scale Data Mining
课程网址: http://videolectures.net/iswc2011_bohm_ontology/  
主讲教师: Christoph Bohm
开课单位: 德国波茨坦大学
开课时间: 2011-11-25
课程语种: 英语
中文简介:
由于链接开放数据源自各种来源,杠杆老化定义良好的本体有助于集成。然而,数据发布者经常使用RDF词汇表来分析本体工程师设想的渐进式应用程序。特别是在Billion Triple Challenge中提出的大规模数据集中,可以观察到词汇规范和使用模式之间的重要差异。这可能会阻碍Web数据的目标,即在语义Web中覆盖域特定信息。在这项工作中,我们通过采用频率分析和规则挖掘来识别常见的误用模式,并提出重新设计建议。
课程简介: As Linked Open Data originates from various sources, lever- aging well-de fined ontologies aids integration. However, oftentimes the utilization of RDF vocabularies by data publishers di ffers from the in- tended application envisioned by ontology engineers. Especially in large- scale datasets as presented in the Billion Triple Challenge a signi ficant divergence between vocabulary specification and usage patterns can be observed. This may impede the goals of the Web of Data in terms of dis- covering domain-specifi c information in the Semantic Web. In this work, we identify common misusage patterns by employing frequency analysis and rule mining and propose re-engineering suggestions.
关 键 词: 开放数据; RDF词汇; 语义Web
课程来源: 视频讲座网
最后编审: 2019-05-05:lxf
阅读次数: 30