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Soergel, D.: Unleashing the power of data through organization : structure and connections for meaning, learning and discovery (2015)
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- Abstract
- Knowledge organization is needed everywhere. Its importance is marked by its pervasiveness. This paper will show many areas, tasks, and functions where proper use of knowledge organization, construed as broadly as the term implies, provides support for learning and understanding, for sense making and meaning making, for inference, and for discovery by people and computer programs and thereby will make the world a better place. The paper focuses not on metadata but rather on structuring and representing the actual data or knowledge itself and argues for more communication between the largely separated KO, ontology, data modeling, and semantic web communities to address the many problems that need better solutions. In particular, the paper discusses the application of knowledge organization in knowledge bases for question answering and cognitive systems, knowledge bases for information extraction from text or multimedia, linked data, big data and data analytics, electronic health records as one example, influence diagrams (causal maps), dynamic system models, process diagrams, concept maps, and other node-link diagrams, information systems in organizations, knowledge organization for understanding and learning, and knowledge transfer between domains. The paper argues for moving beyond triples to a more powerful representation using entities and multi-way relationships but not attributes.
- Date
- 27.11.2015 20:52:22
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Soergel, D.: Knowledge organization for learning (2014)
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- Pages
- S.22-32
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
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Berti, Jr., D.W.; Lima, G.; Maculan, B.; Soergel, D.: Computer-assisted checking of conceptual relationships in a large thesaurus (2018)
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- Date
- 17. 1.2019 19:04:22
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Soergel, D.: Towards a relation ontology for the Semantic Web (2011)
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- Abstract
- The Semantic Web consists of data structured for use by computer programs, such as data sets made available under the Linked Open Data initiative. Much of this data is structured following the entity-relationship model encoded in RDF for syntactic interoperability. For semantic interoperability, the semantics of the relationships used in any given dataset needs to be made explicit. Ultimately this requires an inventory of these relationships structured around a relation ontology. This talk will outline a blueprint for such an inventory, including a format for the description/definition of binary and n-ary relations, drawing on ideas put forth in the classification and thesaurus community over the last 60 years, upper level ontologies, systems like FrameNet, the Buffalo Relation Ontology, and an analysis of linked data sets.
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Komlodi, A.; Soergel, D.; Marchionini, G.: Search histories for user support in user interfaces (2006)
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- Date
- 22. 7.2006 18:04:19
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Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014)
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- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
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Zhang, P.; Soergel, D.: Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking (2014)
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- Date
- 22. 8.2014 16:55:39
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Soergel, D.: SemWeb: proposal for an open, multifunctional, multilingual system for integrated access to knowledge about concepts and terminology (1996)
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- Theme
- Semantic Web
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Soergel, D.: SemWeb: Proposal for an Open, multifunctional, multilingual system for integrated access to knowledge about concepts and terminology : exploration and development of the concept (1996)
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- Theme
- Semantic Web
