Mining Distributed Scientific Data for Product Valuation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Scientists face difficulties in finding comprehensive and relevant information about scientific products and tools due to their dispersed presence in peer-reviewed publications and private subscription-based forums, while product manufacturers struggle to effectively market their products to researchers.

Innovation Solution

A method and system for mining distributed scientific data using automatic searching and semantic refinement algorithms to aggregate product and contact information, providing concise details such as product summaries, market share, and expert usage, facilitating efficient valuation and marketing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If product information is dispersed across multiple independent sources (scientific publications, forums, websites), then information completeness is improved, but information accessibility and ease of finding relevant data deteriorates

Engineering Contradiction:
Improveinformation completenessVSAvoidinformation accessibility
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent merges data from multiple independent sources (scientific publications, forums, websites) into a unified product information database. The system aggregates product data, contact data, and usage information from disparate sources and presents them through a single searchable interface, resolving the contradiction between information completeness and accessibility.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces an intermediary system that acts as a mediator between the dispersed information sources and the end users. This intermediary automatically searches, collects, and organizes data from multiple sources, providing a centralized access point that maintains information completeness while dramatically improving accessibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If manufacturers use traditional marketing methods (trade shows, advertising, email lists), then product visibility is improved, but marketing effectiveness and lead validation deteriorates

Engineering Contradiction:
Improveproduct visibilityVSAvoidlead validation
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The patent implements feedback mechanisms that track and analyze product usage information from scientific publications and forums. This feedback loop provides manufacturers with validated information about which scientists are actually using their products and how effective those products are, enabling more reliable lead validation compared to traditional marketing methods.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system enables manufacturers to self-validate their marketing effectiveness by automatically accessing usage data from scientific sources. Instead of relying on external validation from trade shows or advertising responses, manufacturers can directly query the database for validated usage information, improving both efficiency and reliability.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If scientists manually search through scientific publications and forums for product information, then information accuracy is improved, but time consumption and research efficiency deteriorates

Engineering Contradiction:
Improveinformation accuracyVSAvoidresearch efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent performs preliminary actions by automatically collecting, organizing, and validating product information from scientific sources before scientists need to access it. The system pre-processes data from publications and forums, creating a ready-to-query database that maintains accuracy while eliminating the time-consuming manual search process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical process of manual information gathering with an automated computerized system. Instead of scientists manually searching through publications and forums, the system uses automated searching tools and algorithms to retrieve and present accurate product information, dramatically improving research efficiency while maintaining accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11687984B2Mining of distributed scientific data for enriched valuation
Publication Date: 2023.06.27 SCIENTIST SOLUTIONS
  • US11687984B2 patent drawing
  • US11687984B2 patent drawing
  • US11687984B2 patent drawing

AI summary

Methods and systems are described that detail the rapid validation of scientific products and scientist consumer information derived from multiple science/research based sources, such as peer-reviewed scientific publications and online resources, for example, as well as any other available tasked forum or venue. The refined information will facilitate unique product evaluation opportunities via an accessible website/forum, trade shows, etc., and provide previously unknowable sales leads, market intelligence, and targeted advertising opportunities for product manufacturers.