Sensing Data Distribution via Metadata Similarity Scoring
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Solution Overview
Problem
Current sensing data distribution systems fail to effectively utilize sensing data when metadata conditions do not match, limiting the expansion of data usage applications.
Innovation Solution
A sensing data distribution system with a data intermediary apparatus that acquires and evaluates metadata from both the sensor management and user-side apparatuses, calculates similarity scores, and transmits notification information to adjust metadata contents when conditions do not meet predetermined criteria, facilitating data distribution and reducing processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If strict metadata matching is performed to ensure data quality, then reliability of data distribution is improved, but the quantity of distributable sensing data decreases
Solution Approach 1:
The patent transforms the binary matching result (match/mismatch) into a continuous similarity score that reflects the degree of metadata compatibility. This allows the system to distinguish between complete matches, partial matches, and no matches, enabling flexible data distribution decisions based on similarity thresholds rather than strict matching rules.
Solution Approach 2:
The data intermediary apparatus acts as a mediator between the sensor management apparatus and user-side apparatus. It calculates similarity scores and generates notification information that facilitates negotiation and adjustment of metadata conditions, enabling data distribution even when initial metadata conditions do not perfectly match.
2Quantity of substance
If similarity evaluation and notification information transmission are implemented to enhance data distribution possibilities, then the quantity of distributable sensing data is improved, but device complexity increases
Solution Approach 1:
The patent segments the metadata matching process into distinct functional modules: metadata acquisition, similarity calculation, evaluation, and notification information generation. This modular approach distributes complexity across separate components, making the system more manageable and maintainable while enabling enhanced data distribution capabilities.
3Reliability
If metadata matching is performed to ensure condition coincidence, then reliability of data transfer is improved, but productivity of data distribution system decreases
Solution Approach 1:
The patent implements partial matching by allowing data distribution when similarity scores meet threshold requirements rather than requiring complete metadata coincidence. This partial action approach enables data distribution in cases where essential conditions are met, even if all metadata attributes do not perfectly match, thereby improving system productivity.
Data Source
AI summary
This invention further enhances the possibility of sensing data being distributed in the case where matching of metadata determines that conditions do not coincide. A data intermediary server 3 performs matching of provider-side metadata transmitted from a sensor management apparatus and user-side metadata transmitted from a data user-side server 2 on an item-by-item basis, calculates scores according to the degree of matching therebetween, and, in the case where the total value of the scores (similarity) does not meet a predetermined first threshold but is greater than or equal to a second threshold, generates provider-side metadata to which the total value of the scores and information on unmatched items of the user-side metadata are appended, and notifies this provider-side metadata to the sensor management apparatus as notification information.