Electronic Device Metadata Integration Using Similarity Mapping
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Solution Overview
Problem
Metadata from different sources varies in format and field values, leading to inconsistencies that can result in missing information, such as actor information not being included in some metadata sets, causing search issues.
Innovation Solution
An electronic device that integrates metadata from multiple sources by identifying and mapping attribute information based on similarity using algorithms like Longest Common Subsequence, N-Gram, or Levenshtein Distance, and generating integrated metadata that includes missing attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If metadata is stored from multiple data sources with different formats, then the quantity of metadata information increases, but the consistency and reliability of attribute information deteriorates
Solution Approach 1:
The patent applies homogeneity by standardizing metadata from multiple data sources into a unified format with consistent field structures. The system transforms heterogeneous metadata (different formats, schemas, and attribute names) into homogeneous standardized metadata, ensuring all metadata sets follow the same structure and naming conventions, thereby resolving the inconsistency issue while preserving the quantity of information from multiple sources
Solution Approach 2:
The patent employs composite materials by integrating and merging metadata from multiple different data sources into a composite standardized metadata set. The system combines attributes from various sources (A data source, B data source, etc.) into a unified composite structure that leverages the strengths of each source while maintaining overall consistency through standardized field definitions and validation rules
2Adaptability or versatility
If metadata formats vary across different data sources, then the adaptability of the system increases, but the difficulty of detecting and measuring attribute information increases
Solution Approach 1:
The patent introduces an intermediary standardized metadata format that acts as a mediator between diverse data sources and the search system. This intermediate layer transforms various source formats into a common standardized structure, making attribute information easily detectable and measurable while maintaining adaptability to accommodate different input formats from multiple data sources
3Loss of information
If attribute information is missing in some metadata sets, then the loss of information increases, but the complexity of integrating and completing the information increases
Solution Approach 1:
The patent applies preliminary action by pre-defining a comprehensive standardized metadata schema that includes all necessary attribute fields before integration occurs. This predefined structure guides the integration process, automatically identifying missing attributes and facilitating their completion from available sources, thereby reducing information loss while managing integration complexity through structured planning ahead
Data Source
AI summary
An electronic device includes a memory; and a processor configured to: store metadata received from a plurality of data sources, respectively, in the memory; obtain first information corresponding to a preset attribute from among attribute information comprised in first metadata received from a first data source from among the plurality of data sources; obtain second information corresponding to the preset attribute from among attribute information comprised in second metadata received from a second data source; and map, based on the first metadata and the second metadata being identified as metadata on a content based on a similarity between the first information and the second information, an integrated metadata generated based on the first metadata and the second metadata to the content and store the integrated metadata generated based on the first metadata and the second metadata in the memory.