Digital Content Valuation Through Multi-Perspective File Metadata
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Solution Overview
Problem
Existing systems struggle to accurately estimate the value of digital content beyond identifiable patterns, leading to high false positives and inability to assess content importance to an organization.
Innovation Solution
A system and method for determining digital content value by accumulating secondary data associated with file system objects, generating object values from multiple perspectives, and creating a valuation database to associate these values with the objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content scanning algorithms are used to identify patterns in files, then data security applications work reasonably well, but the system cannot estimate the importance of a file to the organization and has high false positive rates
Solution Approach 1:
The patent segments the value assessment into multiple independent dimensions: security value (based on pattern matching), operational value (based on access frequency and user importance ratings), and intellectual property value (based on file type and sensitivity). Each dimension is calculated separately and combined to form a comprehensive value score, allowing the system to maintain security detection capabilities while adding precise organizational context assessment.
Solution Approach 2:
The patent introduces an intermediary layer of metadata collection and user feedback mechanisms between the raw file content and the final value assessment. This intermediary layer gathers contextual information about file access patterns, user relationships, and organizational importance ratings, which mediates between simple pattern matching and complex value determination, reducing false positives by incorporating multiple verification signals.
2Measurement precision
If comprehensive data collection and multiple valuation perspectives are implemented, then content value determination accuracy is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal valuation framework that can assess files from multiple perspectives (security, operational, intellectual property) using a single integrated system. The same infrastructure collects metadata, generates valuations, and applies policies across all file types and contexts, eliminating the need for separate specialized systems for each valuation dimension and reducing overall system complexity.
Solution Approach 2:
The patent changes the parameters of value assessment from binary (secure/not secure) to multi-dimensional continuous variables (security value score, operational value score, IP value score). This parameter transformation allows the system to handle complexity through mathematical aggregation of standardized metrics rather than through complex conditional logic, simplifying the underlying system architecture while improving measurement precision.
3Loss of information
If multiple value perspectives are generated for each file, then comprehensive content valuation is achieved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by collecting metadata and generating baseline valuations proactively before files need to be accessed or protected. The system pre-calculates security, operational, and intellectual property value scores and stores them for quick retrieval, avoiding the need to recalculate all three perspectives whenever a file is accessed, thus maintaining information completeness while reducing processing time.
Solution Approach 2:
The patent implements partial action by calculating only the necessary valuation perspectives based on file type, location, and access patterns. For example, routine operational files may only require operational value assessment, while sensitive documents trigger full multi-perspective evaluation. This selective approach maintains comprehensive valuation where needed while reducing overall processing burden.
Data Source
AI summary
A novel system for performing valuations of file system objects include a processor configured to execute code and memory configured to store data and the code. The code includes an accumulator configured to accumulate secondary data associated with said file system objects, a data aggregator configured to arrange the secondary data in the memory, and a value generator configured to generate an object value indicative of the value of at least one of the file system objects to a particular entity. In a particular embodiment, the value generator creates a record in a valuation database to associate the object value with the at least one of the file system objects.