Interactive Data Structure Search Interface for Resource Discovery
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Solution Overview
Problem
Existing systems fail to efficiently search and integrate large amounts of data related to resources and documents within organizations, leading to inefficiencies in identifying relevant information and requiring manual cross-referencing across multiple datasets.
Innovation Solution
The development of scalable and interactive user interfaces that utilize data structures to search resources and documents based on their properties, allowing for dynamic and efficient data presentation and navigation, enabling users to filter and access related information through histogram filters and interactive graphical interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional searching methods are used to search for resources and documents in large organizations, then the system structure is simple, but the search efficiency and ability to handle large amounts of data deteriorate
Solution Approach 1:
The patent segments the search system into multiple independent components: a search engine that processes queries, a data structure layer that organizes resources and documents, and a user interface layer that presents results. This segmentation allows each component to be optimized independently, improving search efficiency without overwhelming system complexity.
Solution Approach 2:
The patent introduces an intermediary data structure layer between the search engine and the actual resources/documents. This intermediary layer pre-organizes data with metadata and relationships, enabling faster search operations without requiring complex real-time processing of the entire dataset.
2Loss of time
If manual cross-referencing is used to identify relevant information across multiple datasets, then the system complexity is low, but the time required to identify relevant resources and documents increases
Solution Approach 1:
The patent applies preliminary action by pre-processing and organizing resources and documents into a structured data model with metadata, relationships, and indexes before search operations occur. This pre-organization eliminates the need for manual cross-referencing during actual searches, significantly reducing identification time.
Solution Approach 2:
The patent replaces the mechanical process of manual cross-referencing with an automated computer-based search system that uses data structures, metadata, and algorithms to automatically identify and retrieve relevant information across multiple datasets.
3Ease of operation
If large amounts of data are presented to users in traditional interfaces, then the data completeness is high, but the user cognitive workload and stress increase
Solution Approach 1:
The patent segments large amounts of search results into manageable groups or pages, presenting information in discrete units rather than overwhelming users with all data at once. This segmentation maintains access to complete data while reducing immediate cognitive workload through progressive disclosure.
Solution Approach 2:
The patent applies local quality by providing different levels of detail in different parts of the interface: summary views provide high-level overviews for quick assessment, while detailed views provide comprehensive information when needed. This allows users to access complete data while experiencing reduced cognitive load through context-appropriate information density.
Data Source
AI summary
Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria. Resources, documents, events, entities, and other data can be represented by respective types of data structures, which may be associated with other types of data structures. Properties or fields of data structures can have security settings and permissions associated with them.