Automated Information Search by Semantic Meaning of Text

Title:

Automated Information Search by Semantic Meaning of Text

Tech ID:

2023-011

Status: 

Active 

Category:

Artificial Intelligence and Data Analysis

Executive Statement:

An AI-driven system that rapidly extracts key insights from large volumes of crash narratives by understanding their semantic meaning.

Description:

This innovative technology uses advanced AI to transform human-and-technology interaction for processing crash narratives. It enables traffic safety engineers and authorities to analyze thousands of narratives within seconds or minutes, eliminating the need for time-consuming manual reading. By leveraging recent advances in AI reading comprehension, it accurately identifies critical information, making extensive data analysis efficient and productive.

Key Advantages:

• Significantly reduces time needed to analyze crash narratives from minutes to seconds
• Improves accuracy in identifying key information through semantic understanding
• Scales easily to process massive volumes of data without human fatigue
• Enhances decision-making for traffic safety through rapid insights

Problems Solved:

• Overcomes limitations of manual data processing on large-scale crash narratives
• Eliminates human bottlenecks and fatigue in information extraction
• Addresses inefficiency and infeasibility of manual narrative analysis for data-driven safety improvements

Marketing Opportunities:

• Traffic safety analysis and engineering
• Transportation planning and accident prevention
• Government and regulatory agency reporting
• Insurance claim analysis and risk assessment

Inventors: 

• Jee Woong Park 
• Cristian Arteaga-Sanchez