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Soergel, D.: Knowledge organization for learning (2014)
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- Abstract
- This paper discusses and illustrates through examples how meaningful or deep learning can be supported through well-structured presentation of material, through giving learners schemas they can use to organize knowledge in their minds, and through helping learners to understand knowledge organization principles they can use to construct their own schemas. It is a call to all authors, educators and information designers to pay attention to meaningful presentation that expresses the internal structure of the domain and facilitates the learner's assimilation of concepts and their relationships.
- 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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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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Komlodi, A.; Soergel, D.; Marchionini, G.: Search histories for user support in user interfaces (2006)
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- Abstract
- The authors describe user interface tools based on search histories to support legal information seekers. The design of the tools was informed by the results of a user study (Komlodi, 2002a) that examined the use of human memory, external memory aids, and search histories in legal information seeking and derived interface design recommendations for information storage and retrieval systems. The data collected were analyzed to identify potential task areas where search histories can support information seeking and use. The results show that many information-seeking tasks can take advantage of automatically and manually recorded history information. These findings encouraged the design of user interface tools building on search history information: direct search history displays, history-enabled scratchpad facilities, and organized results collection tools.
- Date
- 22. 7.2006 18:04:19
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Soergel, D.: Mathematical analysis of documentation systems : an attempt to a theory of classification and search request formulation (1967)
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- Abstract
- As an attempt to make a general structural theory of information retrieval, a documentation system (DS) is defined as a formal system consisting of (a) a set o of objects (documents); (b) a set A++ of elementary attributes (key-words), from which further attributes may be constructed: A++ generates A; (c) a set of axioms of the form X++(x)=m (m¯M, M a set of constant connecting attributes with objects: from the axioms further theorems (=true statements) may be constructed. By use of the theorems, different mappings O -> P(o) (P(o) set of all subsets of o) (search question -> set of documents retrieved) are defined. The type of a DS depends on two basic decisions: (1) choice of the rules for the construction of attributes and theorems, e.g., logical product in coordinate indexing; links. (2) choice of M; M may consist of the two constants 'applicable' and 'not applicable', or some positive integers, ...; Further practical decisions: A++ hierarchical or not; kind of mapping; introduction of roles (=further attributes). The most simple case - ordinary two-valued Coordinate Indexing - is discusssed in detail; o is a free distributive (but not Boolean) lattice, the homographic image a ring of subsets of o; instead of negation which is not useful, a useful retrieval operation 'praeternagation' is introduced. Furthermore these are discussed: a generalized definition of superimposed coding, some functions for the distance of objects or attributes; optimization and automatic derivation of classifications. The model takes into account term-term relations and document-document relations. It may serve as a structural framework in terms of which the functional problems of retrieval theory may be expressed more clearly
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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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Huang, X.; Soergel, D.: Relevance: an improved framework for explicating the notion (2013)
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Huang, X.; Soergel, D.; Klavans, J.L.: Modeling and analyzing the topicality of art images (2015)
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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
-
Soergel, D.: Unleashing the power of data through organization : structure and connections for meaning, learning and discovery (2015)
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- Date
- 27.11.2015 20:52:22
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Soergel, D.; Popescu, D.: Organization authority database design with classification principles (2015)
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- Abstract
- We illustrate the principle of unified treatment of all authority data for any kind of entities, subjects/topics, places, events, persons, organizations, etc. through the design and implementation of an enriched authority database for organizations, maintained as an integral part of an authority database that also includes subject authority control / classification data, using the same structures for data and common modules for processing and display of data. Organization-related data are stored in information systems of many companies. We specifically examine the case of the World Bank Group (WBG) according to organization role: suppliers, partners, customers, competitors, authors, publishers, or subjects of documents, loan recipients, suppliers for WBG-funded projects and subunits of the organization itself. A central organization authority where each organization is identified by a URI, represented by several names and linked to other organizations through hierarchical and other relationships serves to link data from these disparate information systems. Designing the conceptual structure of a unified authority database requires integrating SKOS, the W3C Organization Ontology and other schemes into one comprehensive ontology. To populate the authority database with organizations, we import data from external sources (e.g., DBpedia and Library of Congress authorities) and internal sources (e.g., the lists of organizations from multiple WBG information systems).