Search Snapshot Management Engine for Patent Literature
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Solution Overview
Problem
The increasing volume of patent-related information makes it difficult for professionals to efficiently search for relevant literature, assess patentability, marketability, and valuation of ideas, and determine the validity of intellectual property assets, as existing electronic search tools rely on rudimentary keyword matching and require trial-and-error approaches.
Innovation Solution
A Patent Related Publication Search Engine (PRPSE) is developed to iteratively find patent-related publications using input text, determining predominant keywords through algorithms like TF/IDF, and employing citation analysis to locate correlated publications, while also providing an interface for users to refine searches and manage search snapshots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple users independently perform patent searches using existing electronic search tools, then each user can conduct their own search, but search results and search strategies cannot be shared or reused across users
Solution Approach 1:
The patent merges individual user search activities into a shared search result snapshot history system. Multiple users can access and contribute to a common search history repository, allowing search results, strategies, and snapshots to be combined and reused across different users and search sessions, eliminating redundant search efforts
Solution Approach 2:
The system performs preliminary actions by automatically capturing and storing search result snapshots during user searches. These snapshots are pre-processed and stored in a structured format with metadata, making them readily available for future retrieval and reuse without requiring users to manually save or document their search results
2Quantity of substance
If the corpus of patent information continues to grow each year, then more patent assets become available for evaluation, but it becomes increasingly difficult to search and evaluate these assets efficiently
Solution Approach 1:
The system implements feedback mechanisms where search results and user interactions are captured as snapshots and used to improve future search operations. The search history and results provide feedback that helps refine search strategies, identify relevant patterns, and guide subsequent searches through the growing patent corpus more efficiently
Solution Approach 2:
The patent employs copying by creating and storing snapshots of search results that can be replicated and reused. Instead of requiring users to re-search the same information, the system copies and preserves search results in a structured format that can be quickly retrieved and applied to new search tasks, maintaining productivity despite the expanding patent corpus
3Ease of operation
If electronic search tools rely on rudimentary keyword matching functions, then the search system remains simple to operate, but professionals must formulate search strategies through experience and trial-and-error
Solution Approach 1:
The system performs preliminary analysis by automatically capturing search results, strategies, and metadata in structured snapshots. This preliminary processing of search information allows the system to quickly retrieve and reuse proven search strategies without requiring professionals to re-formulate them through trial-and-error, reducing time loss while maintaining ease of operation
Solution Approach 2:
The search system uses feedback from captured snapshots to improve strategy formulation. By analyzing patterns in successful searches stored in the history, the system can provide feedback that guides professionals in formulating better search strategies more quickly, reducing the time required for strategy development while keeping the interface simple
Data Source
AI summary
Methods, systems, and techniques for managing and using search result snapshot histories are provided. Some examples provide a Search Snapshot Management Engine (“SSME”), which enables users and or programs through the use of an application programming interface (“API”) to define and manipulate search result snapshots. In typical operation, an iteration of a search result is associated with a search result snapshot history. In some examples, the SSME may be used to provide search histories to teams for reviewing patent related publications and other types of literature. In some examples, the SSME promotes cooperative sharing of search result snapshot histories. In other examples, the SSME promotes competitive sharing of search result snapshot histories. One or more designated snapshots may be used to create new or merged search result snapshot histories.