- 专利标题: CONFIGURABLE METADATA-BASED AUTOMATION AND CONTENT CLASSIFICATION ARCHITECTURE FOR CLOUD-BASED COLLABORATION PLATFORMS
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申请号: US15679532申请日: 2017-08-17
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公开(公告)号: US20170346861A1公开(公告)日: 2017-11-30
- 发明人: Annie Pearl , James Huamonte , Brian Tran , Tiffany Low , Pierre-Alexandre Masse , Ted Blosser
- 申请人: Box, Inc.
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; G06F17/30 ; H04L29/08 ; H04W4/00
摘要:
Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.
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