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 |
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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-defined ontologies aids integration. However, oftentimes the utilization of RDF vocabularies by data publishers differs from the in- tended application envisioned by ontology engineers. Especially in large- scale datasets as presented in the Billion Triple Challenge a significant 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-specific 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 |