Concept-Based Search System for Information Overload
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Solution Overview
Problem
Current search solutions overwhelm users with large volumes of relevant information, leading to information overload, as they struggle to efficiently analyze and understand context, particularly with the increasing pace of information availability and the need for personalized search results.
Innovation Solution
A system, method, and computer program product for concept-based searching that allows users to identify and utilize concepts to form search queries, filter and analyze search results, and create content, enabling personalized and efficient information retrieval and analysis by using concept-based searches across multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If sophisticated search engines are used to retrieve relevant documents, then the volume of relevant information increases, but the time required for analysis and understanding increases
Solution Approach 1:
The patent extracts and isolates specific concepts from the retrieved documents that are most relevant to the user's information needs. By identifying and extracting key concepts rather than presenting all documents, the system reduces the volume of information the user must analyze while maintaining comprehensiveness.
Solution Approach 2:
The patent introduces an intermediary layer of concept analysis between the search engine and the user. This intermediary process automatically identifies, categorizes, and summarizes key concepts from retrieved documents, serving as a mediator that transforms raw document volume into structured conceptual information.
2Adaptability or versatility
If multiple search engines are used to gather information from diverse sources, then the comprehensiveness of information increases, but the complexity of managing and analyzing results increases
Solution Approach 1:
The patent merges results from multiple search engines by identifying and consolidating common concepts across different sources. Instead of managing separate result sets from each engine, the system combines them into a unified conceptual framework, reducing management complexity while maintaining comprehensive coverage.
Solution Approach 2:
The patent creates a universal concept-based framework that can handle results from any search engine or information source. This multi-functional approach allows the same concept extraction and analysis mechanisms to work across diverse sources, simplifying the management of comprehensive information gathering.
3Adaptability or versatility
If standard enterprise taxonomies are used for search, then the system can support general needs, but it cannot provide personalized results for individual entities
Solution Approach 1:
The patent implements dynamic concept identification that adapts to individual user needs rather than relying on static enterprise taxonomies. The system dynamically determines which concepts are relevant based on the specific information needs of each entity, enabling personalization while keeping the interface simple.
Solution Approach 2:
The patent enables the system to automatically identify and define relevant concepts based on the search context and user behavior, rather than requiring manual configuration. This self-service approach to concept definition provides personalization without burdening the user with complexity.
Data Source
AI summary
Systems, methods, and computer programs for performing concept-based searches and for creating content are described. According to one embodiment, a method is described wherein one or more concepts are identified and a search query is formed based on the identified concepts. The search query is used to perform one or more searches that retrieve one or more search results. According to another embodiment, a method is described wherein one or more concepts are identified in a first content source. Context related to at least one of the one or more concepts is extracted from the first content source, and a second content source is populated with at least a portion of the context.