Metadata Correlation via Source Reliability Ordering
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Solution Overview
Problem
Existing systems fail to provide complete and consistent metadata for multimedia content, as different sources often provide incomplete or conflicting information, necessitating the aggregation of metadata from multiple sources while ensuring data reliability and accuracy.
Innovation Solution
The method involves ordering metadata sources by reliability, parsing and filtering data, using a modified Smith-Waterman algorithm for alignment, and consolidating metadata into canonical forms to ensure consistency across sources, with human curation and adaptive data merging to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If metadata from multiple sources is aggregated, then completeness of metadata is improved, but consistency and reliability of metadata deteriorates due to incomplete or conflicting data from different sources
Solution Approach 1:
The patent segments metadata from different sources into discrete data chunks, allowing individual processing and comparison of each source's contribution. This segmentation enables the system to handle incomplete or conflicting data from specific sources without compromising the entire metadata set, resolving the contradiction between aggregating complete metadata and maintaining consistency.
Solution Approach 2:
The patent introduces an intermediary alignment process using the Smith-Waterman algorithm that mediates between conflicting metadata sources. This intermediary mechanism compares and reconciles data chunks from different sources, selecting the most reliable information while maintaining completeness, thus resolving the contradiction between metadata completeness and consistency.
2Quantity of substance
If metadata sources are aggregated without ordering, then data coverage is improved, but processing complexity and difficulty of detecting conflicts increases
Solution Approach 1:
The patent applies preliminary action by ordering metadata sources by reliability before processing. This pre-processing step establishes a hierarchical structure that simplifies subsequent alignment operations, reducing processing complexity while maintaining comprehensive data coverage from all sources.
Solution Approach 2:
The patent changes the parameter of source reliability into an ordering criterion, transforming the metadata aggregation process from a complex multi-source simultaneous processing task into a structured sequential alignment process. This parameter change reduces processing complexity while preserving data coverage from all sources.
3Reliability
If strict filtering is applied to ensure metadata accuracy, then reliability is improved, but completeness of metadata deteriorates due to exclusion of potentially useful data
Solution Approach 1:
The patent applies partial filtering through the alignment process, which selectively processes metadata chunks based on source reliability rather than applying strict universal filtering. This partial action approach maintains reliability by filtering conflicting data while preserving completeness by incorporating valid data from all sources, including those with lower reliability ratings.
Data Source
AI summary
Disclosed are methods and apparatus for correlating metadata from a plurality of different sources. The methods and apparatus may use an order for the data sources. The metadata from each of the data sources may be divided or split into one or more chunks. The metadata from each of the chunks may be filtered and sorted, e.g., to ensure that the metadata relate to the same multimedia content. The metadata chunks from the first data source in the order and the second data source in the order may then be aligned to produce currently aligned metadata. The metadata data chunks from the next data source in the order may then be aligned with the currently aligned metadata to produce new currently aligned metadata. This process may be repeated until the metadata from all of the sources are aligned, thereby providing a set of correlated metadata.