Cognitive Data Management for Hybrid Travel Information Processing
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Solution Overview
Problem
Current technologies face challenges in efficiently processing and analyzing large volumes of big data, particularly 'dark data,' which includes neglected or underutilized information, making it difficult to extract actionable insights in a timely manner.
Innovation Solution
A cognitive information processing system that integrates hybrid data from public and private sources using a cognitive data management module, enabling cognitive inference and learning operations to uncover insights from dark data through semantic analysis, goal optimization, collaborative filtering, and natural language processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data processing approaches are used to handle big data, then data processing capacity is limited, but processing time and computational resources increase significantly
Solution Approach 1:
The patent segments data into structured and unstructured categories, applying different processing techniques to each type. This segmentation allows the system to handle diverse data formats efficiently, improving overall data processing capacity while reducing time spent on format conversion and validation
Solution Approach 2:
The patent introduces cognitive computing systems as an intermediary layer between traditional databases and data analysis tools. This intermediary uses natural language processing and machine learning to automatically interpret and structure unstructured data, significantly reducing processing time and enabling faster insights from big data
2Quantity of substance
If dark data is collected and stored for potential insights, then data volume increases, but data accessibility and utilization decrease
Solution Approach 1:
The patent implements self-service mechanisms where the cognitive computing system automatically discovers, categorizes, and tags dark data without manual intervention. The system autonomously processes unstructured data, extracts meaningful patterns, and makes insights accessible through natural language queries, eliminating the need for manual data curation and improving accessibility
Solution Approach 2:
The patent transforms dark data from an inaccessible state to an accessible state by changing its structural parameters. Through cognitive processing, unstructured data is converted into structured formats with metadata tags, categories, and relationships, making it searchable and可利用 through standard query interfaces
Data Source
AI summary
A method for using hybrid data within a cognitive information processing system environment comprising: receiving data from a plurality of data sources, the plurality of data sources comprising a public data source and a private data source, the public data source comprising publicly available travel information, the private data source comprising privately managed, company specific travel information; accessing information from the plurality of data sources via a cognitive data management module; and, providing the information to an inference and learning system.