图 书 馆
基于实例的本体匹配的实证研究An empirical study of instance-based ontology matching |
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| 课程网址: | http://videolectures.net/iswc07_schlobach_esib/ |
| 主讲教师: | Stefan Schlobach |
| 开课单位: | 阿姆斯特丹自由大学 |
| 开课时间: | 2008-02-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Instance-based ontology mapping is a promising family of solutions to a class of ontology alignment problems. It crucially depends on measuring the similarity between sets of annotated instances. In this paper we study how the choice of co-occurrence measures affects the performance of instance-based mapping. To this end, we have implemented a number of different statistical cooccurrence measures. We have prepared an extensive test case using vocabularies of thousands of terms, millions of instances, and hundreds of thousands of co-annotated items. We have obtained a human Gold Standard judgement for part of the mapping-space. We then study how the different co-occurrence measures and a number of algorithmic variations perform on our benchmark dataset as compared against the Gold Standard. Our systematic study shows excellent results of instance-based match- ing in general, where the more simple measures often outperform more sophisticated statistical co-occurrence measures. |
| 关 键 词: | 本体映射; 统计共生措施; 基准数据集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-04：lxf |
| 阅读次数: | 56 |