Ontology Modelling of an Engineering Document – Perspectives of Linguistics Analysis

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TechInvestLab.ru is starting a research program into an automation of formal modelling. The first project is developed together with ABBYY - the leading linguistic company. The project studies possibilities to build a Gellish-like formal model of a natural language technical document, for further transformation into an ISO 15926 compliant data model with TabLan.15926 engine. This presentation shows preliminary comparisons between syntactic and semantic structures parsed by ABBYY Compreno and manually prepared formal text models.

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Ontology Modelling of an Engineering Document – Perspectives of Linguistics Analysis

  1. 1. Ontology Modelling of an Engineering Document –Perspectives of Linguistics Analysis 26.08.2012
  2. 2. First Step: Requirements ModellingROSENERGOATOM project, July 2011 – Manual processing methodology for Technical Requirements document – Special software for ISO 15926 data model transformation – Sample Nuclear Power Plant requirements processing: • Sample size: 12 paragraphs of text • Content identified: 16 requirements, 3 classifiers • Resulting model: 96 items, 35 relationships 2
  3. 3. Technical Document Semantic ModellingTabLan methodology, March 2012 – Manual processing methodology for technical documents (English) – Using subset of Gellish http:// sourceforge.net/apps/trac/gellish/ – Mapping to the enhanced Initial Template Set – .15926 Editor for ISO 15926 data model transformation – Dowload free from http:// techinvestlab.ru/files/TabLan/TabLan.rar 3
  4. 4. Document Modelling Lessons• Technical document modelling promise: – Requirements verification – Project IT systems customisation (classifiers for CAD/CAM/PLM/ERP/etc.) – Data integration support (reference data library content generation) – Tracing design decisions to requirements – Design decisions verification• Formal modelling problems: – Labour-intensive process of manual modelling – Large volume of «dumb» preparatory work – Need for a professional engineering verification in a new formalism unknown to engineers – Fragmented architecture of project IT environment — an obstacle for model reuse 4
  5. 5. Preconditions for Automation of Technical Document Modelling• Restricted and relatively formal engineering subset of natural language• Contemporary developments in computer based natural language processing• Contemporary developments in ontology extraction from natural language texts• Controlled language for engineering (Gellish)• Gellish to ISO 15926 mapping development 5
  6. 6. Experimenting with ABBYY ComprenoTechnology That Translates from Human into Computer Languagehttp://www.abbyy.ru/science/techno logies/business/compreno
  7. 7. ABBYY ComprenoABBYY Compreno is ABBYY’s innovative technology that performs full semantic and syntactic analysis for comprehensive handling of natural language texts. ABBYY Compreno is the first ever practical implementation of fundamental linguistic research carried out internationally over the past fifty years. A result of seventeen years of intensive R&D, ABBYY Compreno offers robust solutions to many long-standing language processing problems of the information age, such as:• Intelligent search and retrieval – Intelligent semantic search – Multilingual search – Semantic tagging of documents for more powerful searching• Comprehensive text analysis – Information monitoring – Controlling access to cofidential information – Summarizing and annotating documents – Sentiment analysis• Efficient handling of text documents – Document classification and filtering – Text comparison• High quality machine translation
  8. 8. Research Plan• Starting point – comparison between: • syntactic and semantic structure (parsed by ABBYY Compreno) • formal text model (manually prepared)• Rule development for mapping between linguistic and engineering ontologies (current)• Customisation with domain thesauri (plans)• Testing on a corpus of engineering texts (plans) 8
  9. 9. «The containment system shall include a primary containment and a secondary containment.» ABBYY Compreno parser results: text view 9
  10. 10. ABBYY Compreno parser results: tree view 10
  11. 11. «The containment system shall include a primary containment and a secondary containment.» Formal model:Containment system A: is a whole for Primary containment B: is a whole for Secondary containmentА is classified as a RequirementB is classified as a Requirement 11
  12. 12. «Inner surfaces should be smooth to preventcorrosion residue and to simplify decontamination.» ABBYY Compreno parser: tree view 12
  13. 13. «Inner surfaces should be smooth to preventcorrosion residue and to simplify decontamination.» Formal model:Inner surfaces is a specialization of Surface is a specialization of InnerInner surfacesA: is a specialization of SmoothA is classified as a Requirement is intended to achieve To prevent corrosion residue and to simplify decontaminationTo prevent corrosion residue and to simplify decontaminationis a whole for To prevent corrosion residue has as subject Corrosion residue is a whole for To simplify decontamination has as subject Decontamination 13
  14. 14. Thank you!Anatoly Levenchukhttp://ailev.ru (Rus)http://levenchuk.com (Eng)ailev@asmp.msk.suVictor Agroskinvic5784@gmail.com.15926 Editorhttp://techinvestlab.ru/dot15926EditorFeedback and comments: dot15926@gmail.com http://community.livejournal.com/dot15926/TechInvestLab.ru+7 (495) 748-5388 14

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