2. www.sti-innsbruck.at
SCORE
• SCORE := Semantic Content Organization and Retrieval Engine
• Four key capabilities:
– Semantic organization and use of metadata
• Classification with a combination of different methods, e.g. proabilistic
(Bayesian), learning (Hidden Markov Models) and knowledge-based
– Semantic normalization
• Same metadata for same content
– Semantic search
– Semantic association
• Concept linking (e.g. with rdfs:sameAs)
• Developed by the University of Georgia and Venquette
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3. www.sti-innsbruck.at
SCORE – Components
1. Metadata extraction and classification (both stored in content
metabase)
2. Entity extraction (stored in knowledge base)
3. API for semantic application
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5. www.sti-innsbruck.at
Summary
• First approach of a semantic content organization and retrieval
engine
• Voquette website offline -> Project not active maintained
– Not able to find the software for further analysis
• Architecture could be simplified with current technologies (e.g. the
use of a triplestore)
5
6. www.sti-innsbruck.at
Summary
• First approach of a semantic content organization and retrieval
engine
• Voquette website offline -> Project not active maintained
– Not able to find the software for further analysis
• Architecture could be simplified with current technologies (e.g. the
use of a triplestore)
5
