图 书 馆
社会标签涌现语义的相似性度量Evaluating Similarity Measures for Emergent Semantics of Social Tagging |
|
| 课程网址: | http://videolectures.net/www09_markines_esst/ |
| 主讲教师: | Benjamin Markines, Ciro Cattuto, Dominik Benz, Filippo Menczer, Andreas Hotho, Gerd Stumme |
| 开课单位: | 卡塞尔大学 |
| 开课时间: | 2009-05-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Social bookmarking systems are becoming increasingly important data sources for bootstrapping and maintaining Semantic Web applications. Their emergent information structures have become known as folksonomies. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as community detection, navigation support, semantic search, user profiling and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures, which are derived from several established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity between tags and between resources and consider different methods to aggregate annotations across users. After comparing the ability of several tag similarity measures to predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory Project. We also investigate the issue of scalability. We find that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity. |
| 关 键 词: | 社交; 书签系统; 信息结构 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-16：杨雨(课程编辑志愿者) |
| 阅读次数: | 55 |