Non-Material Concept Data Association System
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Solution Overview
Problem
Traditional information retrieval systems fail to effectively capture and retrieve the holistic nature of non-material concepts, such as innovation projects, due to their reliance on material document matching, which leads to incomplete data representation and difficulty in avoiding past mistakes.
Innovation Solution
A system and method that associate data with non-material concepts by defining discrete stages and using a processor to determine corresponding data, storing it with a concept identifier, and generating a representation for subsequent searching and retrieval, allowing for the holistic view of concepts like innovation projects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional information retrieval systems match user queries against existing material documents, then document retrieval is achieved, but the holistic nature of non-material concepts cannot be captured
Solution Approach 1:
The patent introduces an intermediary layer (concept model with discrete stages) between the user query and the document collection. This intermediary structure allows the system to represent non-material concepts holistically while maintaining connection to underlying documents, resolving the contradiction between capturing concept completeness and managing system complexity.
Solution Approach 2:
The patent segments non-material concepts into discrete stages (e.g., idea generation, planning, execution, completion). This segmentation allows the system to systematically organize and retrieve documents associated with different aspects of a concept, preventing information loss while maintaining manageable system structure.
2Loss of information
If multiple files are stored in disparate sources and formats to document innovation aspects, then comprehensive data coverage is achieved, but easy searching and retrieval becomes difficult
Solution Approach 1:
The patent creates a universal concept model that can represent multiple types of innovation documents (project planning, experimental results, scorecards) through a common structure. This multi-functional framework enables comprehensive data coverage while providing unified search and retrieval mechanisms across disparate sources and formats.
Solution Approach 2:
The concept model acts as an intermediary layer that abstracts away the heterogeneity of disparate document sources and formats. Users can search and retrieve information through the standardized concept model without dealing with the underlying complexity of multiple file formats and locations, thus improving ease of operation while maintaining completeness.
3Loss of information
If traditional search engines retrieve individual documents matching search terms, then specific document retrieval is achieved, but the relationships between documents and the holistic concept cannot be retrieved
Solution Approach 1:
The patent segments the retrieval process into two levels: first retrieving the concept model that captures relationships between documents, then retrieving specific documents associated with relevant discrete stages. This segmentation allows efficient retrieval of holistic concept information while maintaining access to individual documents when needed.
Solution Approach 2:
The patent merges document retrieval with concept retrieval by associating documents with discrete stages of the concept model. When a user searches, the system retrieves both the concept structure and relevant documents together, preserving document relationships and improving retrieval efficiency in a single operation.
Data Source
AI summary
The present disclosure provides systems and methods for associating data with non-material concepts that allows for subsequent searching and retrieval of such non-material concepts. A concept definition is received that defines a concept identifier used for identifying data associated with the concept, and a plurality of discrete stages of the concept. Retrieved data is analyzed to determine if the data corresponds to the concept, and to determine at least one discrete stage of the concept definition that the data corresponds to. The data is stored in association with the concept identifier and the at least one discrete stage to allow for subsequent searching and retrieval. When a search request relating to the concept is received, the data associated with the different stages of the concept can be retrieved and output in a manner to capture the holistic nature of the concept.