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Huang, X.; Soergel, D.; Klavans, J.L.: Modeling and analyzing the topicality of art images (2015)
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- Abstract
- This study demonstrates an improved conceptual foundation to support well-structured analysis of image topicality. First we present a conceptual framework for analyzing image topicality, explicating the layers, the perspectives, and the topical relevance relationships involved in modeling the topicality of art images. We adapt a generic relevance typology to image analysis by extending it with definitions and relationships specific to the visual art domain and integrating it with schemes of image-text relationships that are important for image subject indexing. We then apply the adapted typology to analyze the topical relevance relationships between 11 art images and 768 image tags assigned by art historians and librarians. The original contribution of our work is the topical structure analysis of image tags that allows the viewer to more easily grasp the content, context, and meaning of an image and quickly tune into aspects of interest; it could also guide both the indexer and the searcher to specify image tags/descriptors in a more systematic and precise manner and thus improve the match between the two parties. An additional contribution is systematically examining and integrating the variety of image-text relationships from a relevance perspective. The paper concludes with implications for relational indexing and social tagging.
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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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- Abstract
- This article proposes a model of document selection by real users of a bibliographic retrieval system. It reports on Part 1 of a longitudinal study of decision making on document use by academics during a actual research project. (Part 2 followed up the same users on how the selected documents were actually used in subsequent stages). The participants are 25 self-selected faculty and graduate students in Agricultural Economics. After a reference interview, the researcher conducted a search of DIALOG databases and prepared a printout. The users selected documents from this printout, They were asked to read and think aloud while selecting documents. There verbal reports were recorded and analyzed from a utiliy-theoretic perspective. The following model of the decision-making in the selection process emerged: document information lemenets (DIEs) in document records provide the information for judging the documents on 11 criteria (including topicality, orientation, quality, novelty, and authority); the criteria judgments are comninded in an assessment of document value along 5 dimensions (Epistemic, functional, conditional, social, and emotional values), leading to the use decision. This model accounts for the use of personal knowledge and decision strategies applied in the selection process. The model has implications for the design of an intelligent document selection assistant
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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
-
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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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
