Information Processing Apparatus for Accurate Object Recognition
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Solution Overview
Problem
Current information processing systems struggle to accurately recognize and generate reference designations for objects mentioned in written works, particularly when descriptions are ambiguous or incomplete, leading to erroneous information generation.
Innovation Solution
An information processing apparatus comprising a determination device, selector, and generator that estimates associations between objects and properties in written documents, using ontology data and natural language processing to correct ambiguities and generate accurate relationship information, including reference designations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an apparatus recognizes only explicitly mentioned objects in written works, then the processing is simple and fast, but the accuracy of information generation deteriorates due to erroneous determination of unrelated objects
Solution Approach 1:
The patent introduces an intermediary process that uses ontology data as a mediator between the written work content and the object recognition result. The system extracts objects mentioned in the written work, retrieves related objects from ontology data based on their categories, and determines associations through this intermediary layer, thereby improving accuracy without excessive complexity
Solution Approach 2:
The system performs preliminary actions by pre-establishing ontology data that defines categories and associations between objects before the actual recognition process. This preliminary structuring of knowledge allows the system to efficiently determine relationships during processing without complex real-time analysis
2Loss of information
If the system processes all possible objects in written works, then the completeness of information improves, but the processing time and computational resources increase
Solution Approach 1:
The system extracts only the essential elements needed for accurate recognition: the objects explicitly mentioned in the written work and their categories, along with related objects from ontology data. This extraction approach avoids processing all possible objects while maintaining completeness of relevant information
Solution Approach 2:
The recognition process is segmented into distinct steps: extracting mentioned objects, retrieving related objects from ontology, and determining associations. This segmentation allows the system to process information in manageable stages, reducing overall processing time while maintaining completeness
Data Source
AI summary
An embodiment of the present invention provides an information processing apparatus that is capable of generating information about contents of a written work more accurately than conventionally possible. The information processing apparatus includes a determination device, a selector, and a generator. The determination device determines whether a first object and a first property that are mentioned in a first electronic document and that are estimated to be in an association relationship are in accordance with a definition of the association relationship between an object and a property. In a case where the first object and the first property are determined to be not in accordance with the definition, the selector selects, instead of the first object, a second object that is in the association relationship with the first property. The generator generates relationship information indicating that the first electronic document is related to the second object.