Extending Default Models for Situation-Awareness Services
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Solution Overview
Problem
Current terminals face difficulties in creating, storing, and managing various models for situation-awareness services across different domains, as they require distinct models for specific contexts, making it challenging to provide comprehensive and accurate reasoning results.
Innovation Solution
An apparatus and method for extending a default model by generating and combining relationship information between concepts in the default model, linked models, and linked data using string matching, structure matching, upper-level ontology-based semantic matching, and WordNet-based matching to integrate diverse concepts and enhance context reasoning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple domain-specific models are created and stored in the terminal, then the accuracy of situation-awareness service is improved, but the device complexity and management difficulty increase
Solution Approach 1:
The patent combines multiple domain-specific models with a default model by matching concepts between them. When concepts are matched, the models are merged to provide comprehensive situation-awareness services. This allows the terminal to maintain multiple specialized models without manually managing each one separately, as the system automatically integrates them through concept matching.
Solution Approach 2:
The default model serves as a universal base model that can work with multiple domain-specific models across different domains. By designing a universal default model with general concepts that can be matched to various specialized concepts, the system achieves multi-functionality without requiring separate management mechanisms for each domain.
2Measurement precision
If domain-specific models are created for each situation, then the reasoning accuracy is improved, but the loss of time for model creation and management increases
Solution Approach 1:
The system performs preliminary concept matching between the default model and domain-specific models in advance. By pre-establishing the matching relationships between concepts in different models, the system avoids time-consuming model creation and management during actual situation-awareness operations, while still maintaining high reasoning accuracy.
3Adaptability or versatility
If the default model is extended with linked models and data, then the comprehensiveness of context reasoning is improved, but the device complexity increases
Solution Approach 1:
The patent implements a nested model structure where domain-specific models are nested within the default model framework through concept matching. The default model contains general concepts, while domain-specific models contain specialized concepts that nest under or relate to the general concepts. This nested organization allows comprehensive context reasoning while maintaining a hierarchical structure that simplifies management compared to flat model collections.
Data Source
AI summary
Provided are an apparatus and method for adding a variety of concepts to a default model by combining a linked model with the default model and linked data that is to be matched with the linked model. The apparatus may generate first relationship information about a relationship between a concept included in the default model and a concept included in the linked model and second relationship information about a relationship between a concept included in the linked model and a concept included in the linked data. The apparatus may combine the default model, the linked model, and the linked data, based on the first and second relationship information.