Online Ownership Rights Reconciliation via Data Segmentation
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Solution Overview
Problem
Current systems for managing online content ownership rights face challenges due to the complexity of multiple rights holders, errors in data entry, and the difficulty in validating and correcting ownership information, which can lead to incorrect associations between assets and conflicts that are hard to resolve.
Innovation Solution
A rights system that maintains a plurality of asserted and reconciled assets, allowing for the separation and grouping of asserted assets based on descriptive data overlaps and conflicts, and generating reconciled assets to represent the system's understanding of asset ownership, thereby addressing conflicts and ensuring accurate ownership information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single data object is used to store all ownership information for an asset, then information can be centralized and all owners can contribute to the object, but conflicting or incorrect information can be incorporated in a way that cannot easily be remedied
Solution Approach 1:
The patent divides the single data object into multiple separate data objects, each representing a specific assertion about the asset. Each data object contains a unique assertion ID, the asserting owner's ID, and the specific information being asserted. This segmentation allows individual assertions to be validated, corrected, or removed without affecting other assertions, thereby maintaining information accuracy while managing complexity.
2Adaptability or versatility
If owners provide ownership information, then the system can capture diverse perspectives on asset ownership, but errors and inconsistencies arise from lack of knowledge, incorrect record keeping, or contradictory information
Solution Approach 1:
The patent implements a feedback mechanism where the system validates each ownership assertion against existing assertions and flags conflicts for review. When contradictory information is detected, the system notifies relevant owners and requires resolution before finalizing the ownership record. This feedback loop maintains comprehensive ownership coverage while ensuring accuracy through systematic validation and conflict resolution.
3Productivity
If incorrect ownership information causes a merge between assets, then the system can consolidate data, but it becomes difficult or impossible to determine which information should be associated with which asset
Solution Approach 1:
The patent performs preliminary validation and conflict detection before finalizing asset merges. The system checks each assertion against existing records and identifies potential conflicts before consolidation occurs. This preliminary action prevents incorrect merges from happening in the first place, maintaining productivity while avoiding the need for difficult error correction later.
4Reliability
If manual review of records is performed to reverse errors, then corrections can be attempted, but the process is laborious, time consuming, and has no guarantee of success
Solution Approach 1:
The patent implements automated validation and conflict resolution mechanisms that enable the system to self-correct errors without requiring manual intervention. The system automatically detects contradictory assertions, notifies relevant owners, and resolves conflicts based on predefined rules and validation logic. This self-service approach maintains high reliability while eliminating the time loss associated with manual review and correction.
Data Source
AI summary
A method for representing online content item ownership information is provided. The method includes receiving information identifying a first content item and a first owner, and generating a first data object associating the first content item with the first owner. A plurality of data objects is maintained, including the first data object comprising first descriptive data, and a second data object comprising second descriptive data associating a second content item and a second owner. The method generates a first reconciled data object responsive to determining that the first content item corresponds to the second content item and that the first owner and the second owner are different. The method determines degree of overlap between third descriptive data associated with a third content item and the reconciled data objects maintained in the data store. The third data object is associated with the reconciled data object with the highest degree of overlap.