Service Providing System for Business Analysis via Knowledge Base Construction
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Solution Overview
Problem
Current cloud systems lack an efficient mechanism for providing an information processing function as a service, particularly in constructing and operating business analysis support systems, which requires effective integration of AI and IoT data for real-time analysis and decision-making.
Innovation Solution
A service providing system that utilizes a network and computer to offer an information processing function as a service, including an information retrieval unit, knowledge base construction unit, and knowledge presentation unit, which constructs and presents knowledge databases using AI and IoT data for business analysis support systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud systems are used to provide information processing functions as services, then system accessibility and scalability are improved, but system complexity and integration challenges increase
Solution Approach 1:
The system is divided into distinct functional modules: information retrieval unit, knowledge base construction unit, and knowledge presentation unit. Each module handles specific tasks independently, reducing overall system complexity while maintaining cloud-based accessibility and scalability.
Solution Approach 2:
A knowledge base is introduced as an intermediary component that bridges data retrieval and knowledge presentation. This mediator layer simplifies the integration process by standardizing data formats and interfaces between different cloud services.
2Productivity
If AI and IoT data integration is implemented for real-time analysis, then decision-making capability is improved, but data processing complexity and computational requirements increase
Solution Approach 1:
The knowledge base construction unit pre-processes and structures IoT and AI data in advance, organizing information into usable knowledge representations before real-time analysis is needed. This preliminary processing reduces computational complexity during real-time decision-making operations.
Solution Approach 2:
The system automatically retrieves, processes, and presents knowledge without requiring manual intervention. The information retrieval unit autonomously queries data sources, the construction unit automatically structures the knowledge, and the presentation unit delivers results, reducing operational complexity.
3Productivity
If manual operations are reduced through automation, then operational efficiency is improved, but system setup and maintenance complexity increase
Solution Approach 1:
The system is designed to operate autonomously with minimal human intervention. The information retrieval unit automatically queries data sources, the knowledge base construction unit autonomously processes and structures data, and the knowledge presentation unit automatically delivers results, maximizing operational efficiency while reducing manual operational complexity.
Solution Approach 2:
The cloud-based architecture provides universal functionality that can serve multiple purposes: data retrieval, knowledge construction, storage, and presentation. This multi-functional design reduces the need for separate systems, simplifying overall maintenance while improving operational efficiency.
Data Source
AI summary
Disclosed is a service providing system capable of providing an information processing function effective for a variety of system constructions as a service. The service providing system of the present embodiment realizes an information retrieval function, a knowledge base construction function, and a knowledge presentation function. The information retrieval function retrieves information on an analysis target and information indicating a condition of the analysis target; the knowledge base construction function constructs a knowledge database for acquiring knowledge corresponding to the condition of the analysis target based on the information retrieved by the information retrieval function. The knowledge presentation function presents knowledge corresponding to the condition of the analysis target from the knowledge database.