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
Technical Structural Semantic Interoperability Knowledge organization systems Retrieval 4
Semantic interoperability 5
Semantic interoperability Retrieval 6
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 7
SWSWD SWLCSH Core System*) Possible extensions with satellites Syn. Syn. Syn. SWS SWL Syn. Syn. Syn. Syn. Syn. SWSWD SWS SWLCSH SWL Syn. Core System*) SWS SWS SWL SWL Syn. Syn. Localized semantic networks with typed relations as link to the ontological spine Possible extensions with satellites Syn. SWR SWxy SWRameau Syn. Syn. Syn. Syn. SWxy SWR SWxy Syn. Syn. Syn. SWR SWR 8 SWxy SWxy Syn. Syn. Syn. 8
Retrieval paradigms Thematic exploration Conceptual exploration Conceptual query Simple pattern matching „TREE“ 9
Levels of interoperability Enhanced conceptual interoperability Conceptual interoperability Basic interoperability „TREE“ 10
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. 11
Basic interoperability Simple pattern matching
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. 13
Conceptual interoperability Conceptual query
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 15
Enhanced conceptual interoperability Conceptual exploration Methods Differentiated conceptual mappings Interpretation of the semantically enhanced relational structure Relations between concepts have to be specified 16
Enhanced conceptual interoperability Conceptual exploration
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SWSWD SWLCSH Core System*) Possible extensions with satellites Syn. Syn. Syn. SWS SWL Syn. Syn. Syn. Syn. Syn. SWSWD SWS SWLCSH SWL Syn. Core System*) SWS SWS SWL SWL Syn. Syn. Localized semantic networks with typed relations as link to the ontological spine Possible extensions with satellites Syn. SWR SWxy SWRameau Syn. Syn. Syn. Syn. SWxy SWR SWxy Syn. Syn. Syn. SWR SWR SWxy SWxy Syn. Syn. Syn. 21
Thank you for your attention Prof. Winfried Gödert winfried.goedert@fh-koeln.de Felix Boteram Jessica Hubrich Institute of Information Management (IIM) Cologne University of Applied Sciences