Collaborative Electronic Communications Analysis System
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Solution Overview
Problem
Current electronic communication systems lack efficient integration with each other and with other applications, hindering users' ability to share information and collaborate effectively.
Innovation Solution
A computer-implemented system and method that analyzes electronic communications by identifying terms of interest, searching for additional information, creating objects based on these terms, and sharing representations of these objects across multiple electronic communication systems, enabling users to extract and share pertinent information about geographic locations, people, and events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If electronic communication systems operate independently without integration, then system complexity is reduced, but information sharing and collaboration efficiency deteriorate
Solution Approach 1:
The system segments information into structured objects with standardized schemas (person, location, event, task) that can be independently processed and exchanged across different communication platforms. This segmentation allows integration without requiring complete system consolidation, maintaining modularity while enabling collaboration.
Solution Approach 2:
The patent implements a universal object model that can represent various types of information (people, places, events, tasks) across different communication contexts. This universal framework enables the same system to handle multiple communication platforms and information types, improving collaboration efficiency without proportionally increasing complexity.
2Productivity
If manual information extraction and sharing is used, then system complexity is minimized, but information exchange efficiency and accuracy deteriorate
Solution Approach 1:
The system enables self-service information extraction by automatically analyzing communication content, identifying relevant objects (people, locations, events), and structuring them according to predefined schemas. This automation reduces manual effort while maintaining information accuracy, as the system serves itself in extracting and organizing data from unstructured communications.
Solution Approach 2:
The patent incorporates feedback mechanisms where extracted information objects are validated, refined, and used to improve future extraction accuracy. The system learns from user interactions and communication patterns, continuously improving its automated extraction capabilities while reducing the burden of manual information management.
3Reliability
If comprehensive information is shared across all platforms, then collaboration quality improves, but information processing time and resource consumption increase
Solution Approach 1:
The system extracts only the essential and relevant information objects from communications, separating critical data (people, locations, events, tasks) from unnecessary content. This selective extraction maintains information completeness for collaboration while significantly reducing processing time and resource consumption by focusing only on actionable information.
Solution Approach 2:
The patent implements partial information sharing by extracting and sharing only the necessary portions of communication content that are relevant to collaboration tasks. Rather than transmitting complete communications, the system shares targeted information objects, reducing processing overhead while maintaining sufficient information completeness for effective collaboration.
Data Source
AI summary
Systems and methods are disclosed for collaborative information analysis via electronic communications. In accordance with one implementation, a method is provided for analyzing electronic communications. The method includes, for example, receiving a selection of one of a plurality of electronic communication systems. Moreover, the method includes receiving, from the selected electronic communication system, an electronic communication comprising a plurality of terms and identifying at least one term of interest from the plurality of terms. The method further includes searching for information pertaining to the at least one term of interest and receiving information responsive to the search. The method also includes creating an object corresponding to the at least one term of interest and sharing a representation of the object with one or more users.