Event Calculus Analysis for Incident Report Information Discovery

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Solution Overview

Problem

Current systems for incident report analysis in security, law enforcement, and intelligence are hindered by the sheer volume of textual data and the complexity of information encoded in non-linear ways, leading to inefficiencies in discovering targeted information and identifying potential threats, as human analysts struggle to sift through diverse formats and free-form texts.

Innovation Solution

The system employs event calculus formalism to automatically analyze incident reports by specifying client profiles, detecting relevant information, extracting and representing it in event calculus formulae, and performing inferences to identify scenarios of interest, thereby enhancing information discovery and situation awareness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If human analysts manually sift through incident reports, then they can understand the content, but the process is time-consuming and error-prone

Engineering Contradiction:

Improveinformation discovery accuracyVSAvoidanalysis time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual human analysis with an automated system that uses natural language processing and event calculus formalism to detect, extract, and analyze information from incident reports. The system automatically identifies sequences of events and potential threats without human intervention, resolving the contradiction by eliminating time-consuming manual processing while maintaining analytical accuracy through computational methods.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service analysis by automatically processing incident reports against predefined scenarios and event calculus axioms. It independently detects relevant information, extracts entities and events, and generates conclusions without requiring human analysts to manually review each report, thereby reducing time loss while maintaining measurement precision through automated reasoning.

Inventive Principle:

Principle #25Self-service

2Productivity

If conventional search and sort methods are used, then basic information can be retrieved, but complex non-linear correlations and actionable information are overlooked

Engineering Contradiction:

Improveinformation retrieval efficiencyVSAvoidactionable information

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent changes the parameter of information representation by transforming incident reports into event calculus formalism with structured entities, events, and temporal relationships. This formalization enables the system to detect complex non-linear correlations and actionable information that conventional search methods miss, while maintaining high productivity through automated processing of the structured data.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The event calculus formalism acts as an intermediary between the raw incident report data and the analysis requirements. It transforms unstructured text into a standardized representation that enables complex queries and correlations, allowing the system to retrieve both basic information and actionable insights efficiently without losing any information during processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Quantity of substance

If multiple databases with unique formats are processed, then comprehensive data can be collected, but the complexity of processing increases

Engineering Contradiction:

Improvedata volumeVSAvoidprocessing complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent implements a universal processing framework that handles multiple databases with unique formats through a single event calculus-based system. The framework extracts information from diverse sources and represents them in a common formalism, enabling comprehensive data collection across multiple databases while reducing processing complexity through standardized representation and automated analysis.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS7613667B2Methods and systems for analyzing incident reports

Publication Date: 2009.11.03 THE BOEING CO

AI summary

Systems and methods for examining text, such as incident reports, are disclosed. In one embodiment, a method includes specifying a client profile including at least one scenario of interest, the scenario of interest being formulated in an event calculus formalism; analyzing a portion of text for relevant information at least partially described by the scenario of interest; detecting relevant information including detecting a positive match between at least part of information relevant to the scenario of interest and at least part of the portion of text being analyzed; upon detecting such relevant information, extracting the relevant information; representing the extracted relevant information in the event calculus formalism; and performing an inference process on the extracted relevant information represented in the event calculus formalism.