Topic-Based Search System with Entity Mention Filters
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems require significant resources to monitor and access disparate government information sources, leading to inefficiencies in information sharing and reduced transparency between the public and institutional actors.
Innovation Solution
A topic-based-source-specific search system utilizing entity mention filters and search tools, which pre-selects government information sources, processes metadata, and provides user interfaces for querying and filtering information items by entity types and search strategies, allowing for simultaneous presentation of relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing systems separately monitor and read individual information sources to find current information relating to institutional entities, then information can be accessed from multiple sources, but significant resources are expended and inefficiencies occur
Solution Approach 1:
The patent combines multiple disparate government information sources into a single unified search system. The system aggregates information from numerous sources including government websites, intergovernmental agency websites, and news websites, allowing users to search all sources simultaneously through one interface rather than monitoring each source separately.
Solution Approach 2:
The search system provides universal access to multiple types of information sources through a single platform. It handles diverse content types (government information, news, agency publications) and provides multiple search capabilities (entity mention filters, search tools, topic-based filtering) within one system, eliminating the need for separate monitoring of individual sources.
2Loss of information
If existing systems require separate monitoring of individual information sources, then information can be found across multiple sources, but transparency between the public and institutional actors is reduced
Solution Approach 1:
The system merges access to multiple government information sources into a single transparent platform. By consolidating sources and providing unified search results with source attribution, the system enhances public transparency while maintaining comprehensive information accessibility.
3Productivity
If a topic-based-source-specific search system pre-selects government information sources and processes metadata, then efficient discovery of information is achieved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-selecting and pre-processing government information sources before user queries. Metadata is extracted and organized in advance, entity mentions are identified and filtered, and information is structured for rapid retrieval. This preliminary processing significantly improves discovery efficiency while managing complexity through automated preprocessing.
Solution Approach 2:
The system introduces intermediary components including metadata processing layers, entity mention filters, and search tool modules that mediate between raw information sources and user queries. These intermediaries organize and structure information, improving productivity while containing complexity through modular design.
Data Source
AI summary
Approaches for facilitating queries of a topic-based-source-specific search system using entity mention filters and search tools relating to search strategies are disclosed. In certain implementations, an input relating to a query may be received. One or more predefined sources and information items may be determined based on the received input. In some implementations, the system may be configured to apply one or more user-selected entity mention filters to determine information items and sources that are associated with one or more predefined entities or their corresponding aliases. In some implementations, the system may be configured to retrieve information items with corresponding sources that relate to a predefined source set of a search tool.