图 书 馆
数据挖掘模型和实验的语义存储Towards a semantic store of data mining models and experiments |
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| 课程网址: | http://videolectures.net/sikdd2018_tolovski_data_mining_models/ |
| 主讲教师: | Ilin Tolovski |
| 开课单位: | Jožef Stefan研究所知识技术部 |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Semantic annotation provides machine readable structure to the stored data. We can use this structure to perform semantic querying, based on explicitly and implicitly derived information. In this paper, we focus on the approaches in semantic annotation, storage and querying in the context of data mining models and experiments. Having semantically annotated data mining models and experiments with terms from domain ontologies and vocabularies will enable researchers to verify, reproduce, and reuse the produced artefacts and with that improve the current research. Here, we first provide an overview of state-of-the-art approaches in the area of semantic web, data mining domain ontologies and vocabularies, experiment databases, representation of data mining models and experiments, and annotation frameworks. Next, we critically discuss the presented state-of-the-art. Further-more, we sketch our proposal for an ontology-based system for semantic annotation, storage, and querying of data mining models and experiments. Finally, we conclude the paper with a summary and future work. |
| 关 键 词: | 语义注释; 机器可读的结构; 隐式派生的信息执行语义查询; 数据挖掘模型; 数据挖掘领域本体 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-28：cyh |
| 最后编审: | 2023-05-15：cyh |
| 阅读次数: | 10 |