1. Knowledge Support for Modeling and Simulation Michal Ševčenko Czech Technical University in Prague

2. Outline KSMSA project overview KSMSA project overview KSMSA system architecture KSMSA system architecture Conclusions and future work Conclusions and future work

3. KSMSA Project Overview KSMSA = Knowledge Support for Modeling and Simulation KSMSA = Knowledge Support for Modeling and Simulation

4. KSMSA Project Overview Motivation Engineers engaged in modeling and simulation need a lot of knowledge, often tacit and of heuristic nature Engineers engaged in modeling and simulation need a lot of knowledge, often tacit and of heuristic nature Most common representation of the knowledge is natural-language text, like books, articles, etc. Most common representation of the knowledge is natural-language text, like books, articles, etc.

5. KSMSA Project Overview Motivation Natural-language text documents are often available in electronic form Natural-language text documents are often available in electronic form We propose to enhance the natural- language knowledge base with ontological knowledge model to make the knowledge more accessible We propose to enhance the natural- language knowledge base with ontological knowledge model to make the knowledge more accessible

6. KSMSA Project Overview Project goals Provide infrastructure for implementation of the ontological knowledge model Provide infrastructure for implementation of the ontological knowledge model Implement a prototypical ontology for modeling & simulation domain Implement a prototypical ontology for modeling & simulation domain Connect existing knowledge bases to our knowledge model Connect existing knowledge bases to our knowledge model

7. Knowledge Server KSMSA System Architecture Knowledge Base Index Ontology & Lexicon User’s Interface Administrator’s Interface Distributed Knowledge Base Knowledge Server User Knowledge Server Administrator

8. KSMSA System Architecture Ontology & Lexicon The core component of our knowledge model The core component of our knowledge model Built on top of existing components: SUMO and Wordnet Built on top of existing components: SUMO and Wordnet Uses our own XML-based format Uses our own XML-based format

9. KSMSA System Architecture Ontology & Lexicon Design goals of our ontology data model: Design goals of our ontology data model: –Modularity and extensibility –Representation of both logically consistent, “heavyweight” concepts, as well as linguistic, “lightweight” concepts –Supports our methodology: moving from lightweight to heavyweight conceptualization

10. KSMSA System Architecture Knowledge Base Large, distributed collection of documents Large, distributed collection of documents Can contain both unstructured natural- language documents (such as electronic books and articles) and semi-structured documents (catalog sheets, collections of solved examples) Can contain both unstructured natural- language documents (such as electronic books and articles) and semi-structured documents (catalog sheets, collections of solved examples)

11. KSMSA System Architecture Knowledge Base Index Connects the knowledge base to the ontological knowledge model Connects the knowledge base to the ontological knowledge model Annotates individual knowledge base documents with metadata, improving their accessibility Annotates individual knowledge base documents with metadata, improving their accessibility

12. KSMSA System Architecture Knowledge Base Index Metadata include both database-like metadata, useful for semi-structured documents, and keyword-based metadata for unstructured documents Metadata include both database-like metadata, useful for semi-structured documents, and keyword-based metadata for unstructured documents

13. KSMSA System Architecture Knowledge Base Index Can be organized into hierarchical groups of documents with common metadata, reducing redundancy of data Can be organized into hierarchical groups of documents with common metadata, reducing redundancy of data

14. KSMSA System Architecture User’s interface Web-based interface Web-based interface Enables the user to query the knowledge system Enables the user to query the knowledge system Supports both database-like queries (using ad-hoc designed forms) and keyword-based queries Supports both database-like queries (using ad-hoc designed forms) and keyword-based queries

15. KSMSA System Architecture Administrator's interface Comprehensive tool for the knowledge server management Comprehensive tool for the knowledge server management Simplifies managing the ontology, the lexicon, and the knowledge base index Simplifies managing the ontology, the lexicon, and the knowledge base index

16. Administrator’s interface Ontology sections ConceptsLightweight Concepts

17. Conclusions and future work We described the principal idea of our knowledge system We described the principal idea of our knowledge system Although the scope of the system is rather general, we intend to use it specifically for modeling and simulation domain Although the scope of the system is rather general, we intend to use it specifically for modeling and simulation domain

18. Conclusions and future work We believe that not only the infrastructure, but also a comprehensive ontology is important for potential users of our system We believe that not only the infrastructure, but also a comprehensive ontology is important for potential users of our system

19. Conclusions and future work We propose the following future work to be done within the project We propose the following future work to be done within the project –Evolution of the ontology and lexicon –Improving the functionality of interfaces, especially the administrator’s interface –Integration with existing modeling and simulation environment, DYNAST

20. Conclusions and future work KSMSA Project page: http://virtual.cvut.cz/ksmsa