图 书 馆
从非正式通信中提取语义用户网络会增加社交网络Extracting semantic user networks from informal communication exchances social web |
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| 课程网址: | http://videolectures.net/iswc2011_mazumdar_socialweb/ |
| 主讲教师: | Suvodeep Mazumdar |
| 开课单位: | 谢菲尔德大学 |
| 开课时间: | 2011-11-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Nowadays communication exchanges are an integral and time consuming part of people's job, especially for the so called knowledge workers. Contents discussed during meetings, instant messaging exchanges, email exchanges therefore constitute a potential source of knowledge within an organisation, which is only shared with those immediately involved in the particular communication act. This poses a knowledge management issue, as this kind of contents become \buried knowledge". This work uses semantic technologies to extract buried knowledge, enabling expertise finding and topic trends spotting. Speci fically we claim it is possible to automatically model people's expertise by monitoring informal communication exchanges (email) and semantically annotating their content to derive dynamic user profiles. Pro files are then used to calculate similarity between people and plot semantic knowledge-based networks. The major contribution and novelty of this work is the exploitation of semantic concepts captured from informal content to build a semantic network which reflects people expertise rather than capturing social interactions. We validate the approach using contents from a research group internal mailing list, using email exchanges within the group collected over a ten months period. |
| 关 键 词: | 电子邮件; 语义技术; 通信交换 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-05：lxf |
| 阅读次数: | 69 |