Geo-spatial Genealogy Visualization System
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Solution Overview
Problem
Current technologies lack effective methods for geo-spatially capturing and analyzing genealogical information, particularly in organizing and visualizing relationships between individuals across multiple geographic locations and time periods, which is crucial for understanding family histories and connections.
Innovation Solution
A system and method that utilize geotagged digital images of inscribed memorials, vital, historical, and census records to identify and associate individuals by their geographic and temporal relationships, allowing for the visualization of deterministic and probabilistic connections in a geo-spatial context, using computing devices to search, identify, and return relationships among individuals previously without identified links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional genealogical research methods are used to capture family lineage information, then basic family tree data can be collected, but the ability to analyze and visualize geo-spatial and temporal relationships among ancestors is insufficient
Solution Approach 1:
The patent segments genealogical data into distinct dimensional categories (biological, temporal, socio-economical, historical, geographical) that can be independently captured and analyzed. This segmentation allows the system to handle complex multi-dimensional genealogical information without overwhelming system complexity, as each dimension can be processed separately while maintaining overall integration.
Solution Approach 2:
The patent introduces geo-spatial and temporal dimensions to traditional genealogical research by mapping ancestral locations onto geographic coordinates and organizing life events along temporal axes. This dimensional transformation enables visualization and analysis of family histories in space-time contexts, converting abstract genealogical data into spatially and temporally referenced information that can be graphically represented and queried.
2Loss of information
If researchers focus on capturing detailed life events and contextual information about ancestors, then deeper understanding of family histories is achieved, but the time and resources required for research increase significantly
Solution Approach 1:
The patent implements preliminary action by pre-organizing genealogical data into standardized dimensional categories during data entry and capture phases. By establishing the five-dimensional framework (biological, temporal, socio-economical, historical, geographical) upfront, the system enables efficient querying and analysis later without requiring researchers to manually organize detailed contextual information each time they conduct research, thus reducing repeated research time.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system analyzes captured genealogical data and provides insights about identified patterns, relationships, and contextual connections back to researchers. This feedback loop helps researchers understand complex familial relationships more quickly by highlighting significant patterns in the multi-dimensional data, reducing the time needed to interpret detailed contextual information.
3Measurement precision
If geo-spatial data is integrated into genealogical records to determine relationships based on location proximity, then more accurate relationship probability assessments are possible, but the difficulty of detecting and measuring relationships increases
Solution Approach 1:
The patent applies parameter changes by transforming qualitative genealogical relationships into quantitative measurements using geo-spatial parameters (distance, direction, mobility patterns) and temporal parameters (time periods, generation intervals). By converting relationship assessments into measurable parameters with associated probability values, the system enables more precise relationship detection while providing computational methods to handle the measurement complexity.
4Loss of information
If comprehensive multi-dimensional genealogical data is collected and analyzed, then deeper insights into family histories are obtained, but the complexity of organizing and processing the data increases
Solution Approach 1:
The patent implements universality by creating a unified five-dimensional data model that can handle multiple types of genealogical information (biological relationships, temporal events, socio-economic contexts, historical backgrounds, geographical locations) within a single integrated framework. This universal structure allows the system to process diverse genealogical data types through common processing routines, reducing overall data processing complexity despite the comprehensiveness of the information collected.
Data Source
AI summary
System, methods, apparatus and media for the geo-spatial capture and transcription of family trees, vital records, census records, land transfer records, cemetery records, and organizational membership records; for assigning deterministic and probabilistic relationships between people in geographic proximity; and for visualizing known, probable, and potential relationships in a geo-spatial context over time. Also disclosed are systems, methods, apparatus and media for organizing and analyzing genealogical information for searching and visualizing individuals and entities and their relationships to each other within a geo-spatial and temporal context. Further disclosed are systems, methods, apparatus and media for identifying a social networking site based on geo-spatial and temporal context data relating to individuals and entities and their relationships to each other.