Asynchronous Online Meeting Metadata Flow With Unified Session Objects
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Solution Overview
Problem
Existing online meeting systems face challenges in efficiently collecting and managing metadata from multiple streams of data generated during online meetings, particularly when these streams are not easily identifiable as parts of the same session, leading to inefficient storage and analysis.
Innovation Solution
A system and method for collecting and categorizing metadata from online meetings by creating core objects that associate metadata streams with session identifiers, allowing for enriched flexible schema structures and reducing storage requirements by storing metadata references rather than actual recordings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If metadata from multiple meeting streams is collected and stored separately, then data collection completeness is improved, but storage efficiency deteriorates and data management complexity increases
Solution Approach 1:
The patent combines multiple separate metadata streams (recording metadata and call record metadata) into a unified data structure. The core object integrates both metadata types with shared identifiers, allowing complete data collection while simplifying management through a single unified structure rather than separate storage systems.
Solution Approach 2:
The core object serves multiple functions simultaneously: it stores recording metadata, call record metadata, and provides session identification. This multi-functional design eliminates the need for separate data structures for different metadata types, reducing overall system complexity while maintaining complete data collection.
2Loss of information
If actual meeting recordings are stored, then data completeness is improved, but storage requirements increase significantly
Solution Approach 1:
The patent extracts only the essential metadata information from the complete meeting data, separating critical identifiers and parameters from the full recording content. This extraction approach maintains data completeness for analysis purposes while dramatically reducing storage requirements by storing only necessary metadata rather than entire meeting recordings.
Solution Approach 2:
Instead of storing actual meeting recordings, the system creates simplified metadata copies that capture essential information such as session identifiers, participant information, and timing data. These metadata copies serve as representative proxies for the full recordings, enabling efficient storage while preserving analytical value.
3Measurement precision
If multiple separate metadata streams are processed, then data accuracy is improved, but processing efficiency deteriorates
Solution Approach 1:
The patent merges separate processing operations for recording metadata and call record metadata into a unified processing pipeline. By handling both metadata types through a single core object creation process, the system maintains accurate data from both sources while improving processing efficiency through consolidated operations rather than separate processing streams.
Data Source
AI summary
Online meeting software typically generates a flow of data. A server system is configured to receive the flow of data, which may include metadata. The data may include metadata of online meetings. Different types of metadata are generated by online meetings. Such different types of metadata are provided in different patterns. Different types of metadata are provided throughout the online meeting session or at various points of the session and are provided to various different elements of the server system. The various different metadata received are then parsed and certain specific metadata elements are identified to match the different metadata streams.