图 书 馆
Lodiffer:从非结构化文本生成链接数据LODifier: Generating Linked Data from Unstructured Text |
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| 课程网址: | http://videolectures.net/eswc2012_augenstein_lodifier/ |
| 主讲教师: | Isabelle Augenstein |
| 开课单位: | 谢菲尔德大学 |
| 开课时间: | 2012-07-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The automated extraction of information from text and its transformation into a formal description is an important goal of in both Semantic Web research and computational linguistics. The extracted information can be used for a variety of tasks such as ontology generation, question answering and information retrieval. LODifier is an approach that combines deep semantic analysis with named entity recognition, word-sense disambiguation and controlled Semantic Web vocabularies in order to extract named entities and relations between them from text and to convert them into an RDF representation which is linked to DBpedia and WordNet. We present the architecture of our tool and discuss design decisions made. Evaluations of the tool give clear evidence of its potential for tasks like information extraction and computing document similarity. |
| 关 键 词: | 提取信息; 计算语言学; 文档相似性 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-13：cwx |
| 阅读次数: | 25 |