Knowledge Support for Modeling and Simulation

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Knowledge Support for Modeling and Simulation

• Michal evcenko
• Czech Technical University in Prague

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Outline

• KSMSA project overview
• KSMSA system architecture
• Conclusions and future work

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KSMSA Project Overview

• KSMSA Knowledge Support for Modeling and
  Simulation

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KSMSA Project Overview

• Motivation
• 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.

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KSMSA Project Overview

• Motivation
• 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

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KSMSA Project Overview

• Project goals
• Provide infrastructure for implementation of the
  ontological knowledge model
• Implement a prototypical ontology for modeling
  simulation domain
• Connect existing knowledge bases to our knowledge
  model

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KSMSA System Architecture
Distributed Knowledge Base
Knowledge Server
Knowledge Base Index
Administrators Interface
Users Interface
Ontology Lexicon
Knowledge Server Administrator
Knowledge Server User
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KSMSA System Architecture

• Ontology Lexicon
• The core component of our knowledge model
• Built on top of existing components SUMO and
  Wordnet
• Uses our own XML-based format

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KSMSA System Architecture

• Ontology Lexicon
• 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

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KSMSA System Architecture

• Knowledge Base
• 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)

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KSMSA System Architecture

• Knowledge Base Index
• Connects the knowledge base to the ontological
  knowledge model
• Annotates individual knowledge base documents
  with metadata, improving their accessibility

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KSMSA System Architecture

• Knowledge Base Index
• Metadata include both database-like metadata,
  useful for semi-structured documents, and
  keyword-based metadata for unstructured documents

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KSMSA System Architecture

• Knowledge Base Index
• Can be organized into hierarchical groups of
  documents with common metadata, reducing
  redundancy of data

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KSMSA System Architecture

• Users interface
• Web-based interface
• Enables the user to query the knowledge system
• Supports both database-like queries (using ad-hoc
  designed forms) and keyword-based queries

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KSMSA System Architecture

• Administrator's interface
• Comprehensive tool for the knowledge server
  management
• Simplifies managing the ontology, the lexicon,
  and the knowledge base index

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Administrators interface
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Conclusions and future work

• 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

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Conclusions and future work

• We believe that not only the infrastructure, but
  also a comprehensive ontology is important for
  potential users of our system

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Conclusions and future work

• 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 administrators interface
• Integration with existing modeling and simulation
  environment, DYNAST

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Conclusions and future work

• KSMSA Project page
• http//virtual.cvut.cz/ksmsa