图 书 馆
语义网知识抽取工具的比较A Comparison of Knowledge Extraction Tools for the Semantic Web |
|
| 课程网址: | http://videolectures.net/eswc2013_gangemi_web/ |
| 主讲教师: | Aldo Gangemi; Harald Sack |
| 开课单位: | 德国波茨坦大学 |
| 开课时间: | 2013-07-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In the last years, basic NLP tasks: NER, WSD, relation extraction, etc. have been configured for Semantic Web tasks including ontology learning, linked data population, entity resolution, NL querying to linked data, etc. Some assessment of the state of art of existing Knowledge Extraction (KE) tools when applied to the Semantic Web is then desirable. In this paper we describe a landscape analysis of several tools, either conceived specifically for KE on the Semantic Web, or adaptable to it, or even acting as aggregators of extracted data from other tools. Our aim is to assess the currently available capabilities against a rich palette of ontology design constructs, focusing specifically on the actual semantic reusability of KE output. |
| 关 键 词: | 语义网; 本体学习; 景观分析; 语义可重用性 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-04：lxf |
| 阅读次数: | 46 |