Map Expression Data Retrieval and Prioritization
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Solution Overview
Problem
Conventional systems fail to provide users with appropriate map expression data efficiently, requiring users to search manually and lacking the ability to sort or prioritize data based on relevant criteria.
Innovation Solution
An information processing apparatus that includes a map expression data storage unit, a receiving unit for position specifying information, a data acquiring unit for retrieving map expression data associated with region specifying information, and a transmitting unit to send the data to a terminal apparatus, with optional sorting and scoring functionalities to prioritize data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually search for map expression data by inputting conditions, then data can be retrieved, but the process is time-consuming and inefficient
Solution Approach 1:
The system pre-processes and stores map expression data with associated attribute values (region specifying information, scale factor, area) in advance, so that when users need data, the system can directly query and retrieve pre-organized information without requiring manual searching through unstructured data
Solution Approach 2:
The invention introduces an intermediary data structure that links map expression data with metadata attributes (region specifying information, scale factor, area). This intermediary layer allows the system to translate user position queries into efficient data retrieval operations, eliminating the need for manual condition-based searching
2Quantity of substance
If the system stores multiple pieces of map expression data, then data availability increases, but it becomes difficult to provide appropriate data without manual searching
Solution Approach 1:
The system segments map expression data into individual records, each associated with specific attribute values (region specifying information, scale factor, area). This segmentation allows the system to manage large quantities of data systematically and retrieve only the relevant portions based on user position queries, making data provision automated and efficient
3Adaptability or versatility
If the system provides map expression data without sorting, then all data is available, but the relevance and priority of data cannot be determined
Solution Approach 1:
The system changes the parameters for data organization by introducing and utilizing attribute values such as region specifying information, scale factor, and area. These parameters enable the system to automatically assess data relevance and prioritize results based on their spatial and contextual properties, without sacrificing data completeness
Data Source
AI summary
An information processing apparatus includes: a map expression data storage unit in which two or more pieces of map expression data expressing a map are stored, the data being associated with one or more attribute values containing region specifying information for specifying a region that is being expressed; a receiving unit that receives position specifying information for specifying a position from a terminal apparatus; a data acquiring unit that acquires one or more pieces of map expression data associated with region specifying information corresponding to a position specified with the position specifying information, from the map expression data storage unit; and a transmitting unit that transmits the one or more pieces of map expression data acquired by the data acquiring unit, to the terminal apparatus.