SCOMA Semantic Web portal (2005)

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SCOMA Semantic Web portal (2005)
Status Report
Sergiy Nikitin
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Working Team Industrial Ontologies Group
Sergiy Nikitin
Vagan Terziyan (leader)
Yaroslav Tsaruk
University of Jyväskylä
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Overview

• SCOMA objectives
• Need for knowledge sharing and integration
• Modeling tool
• Architecture of a web-based portal
• Status of the implementation
• Conclusions and further work

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Objectives

• Aims of SCOMA
• To launch an international center for scientific
  computing and optimization, combining multi- and
  interdisciplinary applications in industry,
  economics and finances.
• To link with worldwide scientific computing
  centers and collaborate with small and large
  industries on RD projects
• To develop multidisciplinary methods and tools
  and to share knowledge with small and large
  industries

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Need for knowledge sharing and integration

• Combine
• Link
• Collaborate
• Share knowledge

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Modeling tool

• A graph with constraints on nodes and edges for
  convenient domain modeling

Person
hasContactData
ACM_Computing_Classification_System_1998
hasProfile
s
Profile
Contact Data
hasSubject
Mathematics_of_Computing
isMemberOf
s
NUMERICAL_ANALYSIS
inverseOf
hasMember
s
s
hasProfile
Partial_Differential_Equations
Optimization
s
s
Research Group
s
s
Finite_element_methods
Gradient_methods
s
s
Elliptic_equations
Least_squares_methods
Hyperbolic_equations
Linear_programming
s
- subclassOf
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Architecture of a web-based portal
Querying
Querying
Ontology Management
Ontology Management Tool
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Architecture of a web-based portal
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Architecture of a web-based portal (2)
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Protégé Ontology editor
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Status of the implementation

• SCOMA domain ontology
• Application Server installed
• Interaction with the RDF-Server
• Simple Semantic Searching Algorithm
• Web-based interface with search facility

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Efforts spent

• SCOMA domain ontology
• Application Server installed
• Interaction with the RDF-Server
• Simple Semantic Searching Algorithm
• Web-based interface with search facility

3 person/months
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Conclusions and further work

• Proof-of-concept prototype was developed and
  deployed
• SCOMA domain ontology iterative elaboration
• Search algorithm improvement
• Synchronization of an RDF-Server and ontology
  development tool
• Web-interface improvement
• Software documentation

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The potential of the technology

• Easy to extend and update a model
• Add new descriptive features when needed
• No need to modify previously entered data
• Seamless integration and mapping
• Expressivity of the RDF-based model covers all
  mainstream data management technologies (RDBMS,
  XML)
• Native support for reasoning (making implicit
  knowledge explicit), for example
• If I need an expert in Numerical Analysis,
  then an expert in Partial Differential
  Equations might be also of interest to me