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Soergel, D.: Data structure and software support for for integrated thesauri (1996)
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- Series
- Propozycje i Materialy; 6
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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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Huang, X.; Soergel, D.: Relevance: an improved framework for explicating the notion (2013)
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- Abstract
- Synthesizing and building on many ideas from the literature, this article presents an improved conceptual framework that clarifies the notion of relevance with its many elements, variables, criteria, and situational factors. Relevance is defined as a Relationship (R) between an Information Object (I) and an Information Need (N) (which consists of Topic, User, Problem/Task, and Situation/Context) with focus on R. This defines Relevance-as-is (conceptual relevance, strong relevance). To determine relevance, an Agent A (a person or system) operates on a representation I? of the information object and a representation N? of the information need, resulting in relevance-as-determined (operational measure of relevance, weak relevance, an approximation). Retrieval tests compare relevance-as-determined by different agents. This article discusses and compares two major approaches to conceptualizing relevance: the entity-focused approach (focus on elaborating the entities involved in relevance) and the relationship-focused approach (focus on explicating the relational nature of relevance). The article argues that because relevance is fundamentally a relational construct the relationship-focused approach deserves a higher priority and more attention than it has received. The article further elaborates on the elements of the framework with a focus on clarifying several critical issues on the discourse on relevance.
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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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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
-
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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Wang, P.; Soergel, D.: ¬A cognitive model of document use during a research project : Study I: Document selection (1998)
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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.: 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
-
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
