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Semantic Interoperability and Retrieval Paradigms
Paradigms and conceptual systems in KO
February 23, 2010 – February 26, 2010
Felix Boteram
Prof. Winfried Gödert
Jessica Hubrich
Retrieval
 Focussed search
 Expansion
 Exploration
2
Knowledge
organization
systems




Classifications
Thesauri
Semantic networks
Ontologies
Retrieval
3
 Technical
 Structural
 Semantic
Interoperability
Knowledge
organization
systems
Retrieval
4
Semantic
interoperability
5
Semantic
interoperability
Retrieval
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Overall model for semantic interoperability
Aims
 Strategies for retrieval and exploration in distributed systems
 Integration of structurally and typologically different systems
 Overall system consisting of an ontological spine and attached
satellites
Features
 Simple hierarchical core system
 Detailed bilateral mappings
 Expressive multidimensional definition of intersystem and
interconcept relations
 Shared inventory of standard relations
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Syn.
Syn.
SWS
Syn.
SWS
Syn.
Syn.
Syn.
Syn.
SWL
Syn.
SWLCSH
SWSWD
SWL
Syn.
Core System*)
SWS
Syn.
SWS
Syn.
Possible extensions
with satellites
Syn.
SWR
Syn.
Syn.
SWRameau
SWxy
SWxy
SWxy
SWxy
Syn.
Syn.
SWR
Syn.
Syn.
Syn.
SWL
Localized semantic networks
with typed relations as link
to the ontological spine
SWxy
Syn.
SWL
Syn.
SWR
SWR
8
Syn.
Retrieval paradigms
Thematic
exploration
Conceptual exploration
Conceptual query
Simple pattern matching
„TREE“
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Levels of interoperability
Enhanced conceptual
interoperability
Conceptual interoperability
Basic interoperability
„TREE“
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Basic interoperability
Simple pattern matching
„TREE“
Features




Easy implementation
No indexing languages required
Limited access and limited search functionalities
No modification / expansion possible
Methods
 Mapping on word level
 Unspecified one-to-one equivalences represented in a
simple cross-concordance.
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Basic interoperability
Simple pattern matching
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Conceptual interoperability
Conceptual query
Features




Focus on the conceptual level
Multiple access points via synonyms
Structural transparency
Simple expansion strategies
Methods
 Mapping concepts independently from their actual representation in
the various indexing languages.
 Structural and typological differences should be taken into account.
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Conceptual interoperability
Conceptual query
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Enhanced conceptual interoperability
Conceptual exploration
Features
 Modification / expansion of queries
 Conceptual exploration of a knowledge field
 Query-clarification as a useful pre-search mechanism
Requirements
 Various types of expressive semantic relations have to be specified
in great detail.
 Well-structured relational inventories
 Control- and selection-mechanisms to handle the complexity of the
relational structure
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Enhanced conceptual interoperability
Conceptual exploration
Methods
 Differentiated conceptual mappings
 Interpretation of the semantically enhanced relational structure
 Relations between concepts have to be specified
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Enhanced conceptual interoperability
Conceptual exploration
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Syn.
Syn.
SWS
Syn.
SWS
Syn.
Syn.
Syn.
Syn.
SWL
Syn.
SWLCSH
SWSWD
SWL
Syn.
Core System*)
SWS
Syn.
SWS
Syn.
Possible extensions
with satellites
Syn.
SWR
Syn.
Syn.
SWRameau
SWxy
SWxy
SWxy
SWxy
Syn.
Syn.
SWR
Syn.
Syn.
Syn.
SWL
Localized semantic networks
with typed relations as link
to the ontological spine
SWxy
Syn.
SWL
Syn.
SWR
SWR
21
Syn.
Thank you for your attention
Prof. Winfried Gödert
[email protected]
Felix Boteram
Jessica Hubrich
Institute of Information Management (IIM)
Cologne University of Applied Sciences