| 摘要 |
Embodiments of the present invention relate to systems and methods for task-based tagging and resource classification, which allow tags or metadata to emerge from execution of work-related tasks and activities. In certain embodiments, tags can be automatically extracted from activities performed, for example utilizing a textual description of tasks carried out by an employee. Accumulated tags can then be utilized to describe enterprise resources. Automatic tagging or metadata annotation can be integrated with everyday work utilizing one or more techniques. Candidate tags can be extracted from a task written description utilizing an algorithm that analyzes keywords. Candidate tags can be refined, for example by clustering utilizing a K-means approach. Candidate tags can be ranked based on an overall frequency adjusted against time, with the importance of a tag declining with time. |
