Semantic Information Broker Distribution Strategy
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Solution Overview
Problem
The heterogeneity of information formats and distribution challenges in smart spaces, such as semantic information brokers, hinder efficient information and query management, leading to disparities and difficulties in providing reliable distributed information management across multiple information spaces.
Innovation Solution
A system that optimizes information and query distribution by determining provenance, ownership, and privacy within semantic information brokers, using self-monitoring and self-maturing networks to implement symmetric or asymmetric distribution strategies based on stability factors, ensuring efficient and controlled access and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If information is distributed across multiple semantic information brokers in information spaces, then information accessibility and sharing capability are improved, but heterogeneity of information formats creates technical challenges for distribution and processing
Solution Approach 1:
The patent introduces semantic information brokers as intermediary components that mediate between information sources and users. These brokers standardize information formats and provide a unified interface for accessing distributed information across multiple information spaces, thereby improving accessibility while managing distribution complexity through centralized coordination.
Solution Approach 2:
The system dynamically adjusts distribution strategies based on information characteristics such as provenance, ownership, and privacy attributes. By changing distribution parameters (symmetric vs. asymmetric distribution) according to information type and sensitivity, the system optimizes both accessibility and management efficiency across heterogeneous information formats.
2Adaptability or versatility
If symmetric distribution strategy is used among semantic information brokers, then information accessibility is improved, but ownership and privacy control may be compromised
Solution Approach 1:
The patent implements both symmetric and asymmetric distribution strategies depending on information characteristics. For sensitive information with clear ownership requirements, asymmetric distribution is used where the owner retains control while still enabling access. For public information, symmetric distribution provides equal access to all brokers. This dual approach resolves the contradiction between accessibility and ownership control.
3Reliability
If asymmetric distribution strategy is used to maintain ownership control, then privacy and ownership protection is improved, but information accessibility and sharing efficiency may be reduced
Solution Approach 1:
The system dynamically selects between symmetric and asymmetric distribution strategies based on information attributes such as provenance, ownership, and privacy requirements. This dynamic adaptation allows the system to optimize for privacy control when needed while maximizing sharing efficiency for appropriate information types, thereby resolving the contradiction between security and efficiency.
4Reliability
If distribution strategy is determined based on provenance, ownership, and privacy information, then information management reliability is improved, but processing complexity and time increase
Solution Approach 1:
The patent implements preliminary analysis of information attributes (provenance, ownership, privacy) during information ingestion and registration phases. By pre-determining distribution strategies based on these attributes before actual distribution occurs, the system reduces real-time processing complexity and time while maintaining reliable, attribute-based distribution decisions.
Data Source
AI summary
An approach is provided for managing symmetric and asymmetric communication among information spaces with respect to their distributed nature. An information space is composed of semantic information brokers that handle internal processes of the information space. One or more of the semantic information brokers compute a stability factor corresponding to each of a plurality of semantic information brokers in an information space. The one or more semantic information brokers then select one or more of the plurality of semantic information brokers as a master semantic information broker based on the computed stability factors. The one or more master semantic information brokers manage communication among the plurality of semantic information brokers.


