Graph-Based Patent Mining for Mechanical Designs

Manal Helal, Mohammed Helal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Patents represent a rich source of design innovations, prompting the application of different technologies. Machine learning, text and data mining, similarity scoring, and evolving ontology methods are among the various approaches applied in the literature. This study introduces a schema-free graph data modelling of Functional Analysis Diagrams (FAD) extracted from Patents and their associated Auto-CAD models. It aims to represent mechanical design patents semantically. The schema-free graph model allows for a flexible evolving ontology of known geometries, interactions, and functions. This evolution enables comprehensive queries and ensures efficient storage that is compatible with visualisation libraries. The developed PatMine SolidWorks Add-in ©streamlines CAD design comparison with stored patents’ FAD annotations by highlighting shared concepts. It also enables comprehensive full-text and semantic search queries, similarity scoring, and efficient storage compatible with visualisation libraries. The extraction of functional analysis and geometric features empowers the patent database with capabilities for seamless integration with graph analytics and machine learning approaches for future endeavours.
Original languageEnglish
Title of host publication2024 14th International Conference on Electrical Engineering (ICEENG)
Subtitle of host publicationICEENG-14
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication statusAccepted/In press - 18 Mar 2024
Event14th International Conference on Electrical Engineering - The Military Technical College, Cairo, Egypt
Duration: 21 May 202423 May 2024
Conference number: 14


Conference14th International Conference on Electrical Engineering
Abbreviated titleICEENG-14
Internet address


  • Patent Mining
  • Semantic Analysis
  • Graph Data Modelling
  • Artificial Intelligence
  • Machine Learning
  • Big Data Analytics
  • Similarity Scoring
  • Visualisation
  • Functional Analysis Diagrams


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