Automatic IT Ontology Generation via Document Path Analysis

Solution Overview

Problem

The generation of reliable IT ontologies is complex, resource-intensive, and requires significant human effort, making it costly and time-consuming.

Innovation Solution

An automatic method that analyzes digital documents to generate ontologies by associating path information with content-derived keywords, using first-level keywords as macro-categories and second-level keywords as sub-categories, reducing the need for human intervention and improving categorization precision.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual methods are used to create ontologies with skilled personnel defining and associating terms, then reliability and precision of ontology are improved, but loss of time and economic cost increase significantly

Engineering Contradiction:

Improveontology reliabilityVSAvoidontology creation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically generates ontologies by extracting and analyzing terms from digital documents itself, without requiring external skilled personnel. The computer executes algorithms that autonomously identify, extract, and associate terms to create the ontology structure, making the system self-sufficient in ontology creation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of skilled personnel defining and associating terms with an automated computer-based system. The computer executes structured algorithms that automatically perform term extraction, association, and ontology generation, substituting human intellectual labor with computational processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual methods are used to create ontologies with skilled personnel defining and associating terms, then reliability and precision of ontology are improved, but economic cost increases significantly

Engineering Contradiction:

Improveontology reliabilityVSAvoideconomic resources

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system automatically generates ontologies by extracting and analyzing terms from digital documents itself, without requiring external skilled personnel. The computer executes algorithms that autonomously identify, extract, and associate terms to create the ontology structure, making the system self-sufficient in ontology creation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of skilled personnel defining and associating terms with an automated computer-based system. The computer executes structured algorithms that automatically perform term extraction, association, and ontology generation, substituting human intellectual labor with computational processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If traditional automatic ontology generation methods are used independently of storage organization, then ease of operation is improved, but manufacturing precision and categorization accuracy deteriorate

Engineering Contradiction:

Improvemethod simplicityVSAvoidcategorization precision

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

The patent segments the ontology generation process into distinct levels: first-level keywords (macro-categories) derived from path information and second-level keywords (sub-categories) derived from content analysis. This segmentation allows the system to utilize both structural and semantic information for more precise categorization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent adds a new dimension to ontology generation by incorporating path information from the digital document storage structure. Instead of relying solely on content analysis, the system utilizes the hierarchical path structure as an additional dimension for extracting macro-categories, thereby improving categorization precision.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentEP3061007B1Method for the generation of an it ontology, computer program product configured to implement the operations of said method and it equipment configured to execute said computer program product.

Publication Date: 2018.02.28 2C SOLUTION SRL

Figure 1

AI summary

The invention is a method (1) for the generation of an IT ontology including the following steps: extracting the string related to the path of the digital document and analysing it in such a way as to identify the identification name of each individual folder of the path; indexing the folder names with an increasing integer numeric value from 1 to n; associating each one of the folder names with value m with the corresponding folder name with value m+1, being 1<= m <= n-1 and being m progressively increased by one unit; associating the folder names with a pre-defined number x of stored sentences present in said document; storing the result of these associations in a third memory allocation (300).