Bulletin Board Inter-Application Communication via Semantic Filtering
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Solution Overview
Problem
Existing computer systems lack efficient methods for inter-application communication, limiting the ability of multiple application programs to share and process data seamlessly, which hinders the development of complex software systems and increases support and maintenance costs.
Innovation Solution
A system and method enabling application programs to communicate through a bulletin board, where user-selected data can be posted and broadcasted, allowing listening applications to determine semantic relevance and process the data for user display, facilitating collaboration among various application combinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple application programs are integrated into a single complex system to enable data sharing, then inter-application communication capability is improved, but system complexity and support maintenance costs increase
Solution Approach 1:
The system segments inter-application communication into independent, standardized components: a bulletin board service that handles data posting and listening, semantic relevance determination modules in each application, and event-driven notification mechanisms. This allows complex communication capabilities to be built from simple, manageable segments rather than monolithic integration.
Solution Approach 2:
The bulletin board serves as an intermediary mechanism between application programs, enabling indirect communication without direct application-to-application connections. Applications post data to the bulletin board and listen for relevant data, with the bulletin board mediating the interaction and reducing system complexity.
2Productivity
If application programs directly integrate with multiple other applications to share data, then data sharing efficiency is improved, but ease of operation and maintenance deteriorate
Solution Approach 1:
The bulletin board provides a universal communication interface that all applications can use with consistent methods (post, listen, determine semantic relevance). This multi-functional platform enables data sharing across diverse applications without requiring application-specific integration code, improving both efficiency and maintainability.
Solution Approach 2:
The system uses semantic relevance determination as a parameter-based filtering mechanism. Each application defines semantic parameters for the data it needs, and the bulletin board efficiently routes data based on these parameters, maintaining high data sharing efficiency while simplifying application logic and maintenance.
3Speed
If a bulletin board system broadcasts all posted data to all applications, then inter-application communication speed is improved, but data processing overhead and energy consumption increase
Solution Approach 1:
Each application implements feedback through semantic relevance determination, evaluating whether posted data is relevant before processing. This feedback mechanism enables rapid broadcasting to maintain communication speed while filtering out irrelevant data to reduce processing overhead and energy consumption in subsequent steps.
Solution Approach 2:
The system performs partial action by broadcasting data to all applications but only having semantically relevant applications process it further. This approach maintains communication speed through complete broadcasting while minimizing energy consumption by limiting detailed processing to only those applications that need the data.
Data Source
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AI summary
Methods and systems are provided for inter-application communication using messages posted on a bulletin board.