Document (#25147)

Author

Garcia Marco, F.J.
Agustin Lacruz, C.

Title

Cognitive models in pictorial image retrieval

Source

Structures and relations in knowledge organization: Proceedings of the 5th International ISKO-Conference, Lille, 25.-29.8.1998. Ed.: W. Mustafa el Hadi et al

Imprint

Würzburg : Ergon

Year

1998

Pages

S.264-269

Series

Advances in knowledge organization; vol.6

Abstract

Pictorial image retrieval is analysed as a cognitive process. Such a model could build on the physical paradigm of information science, based on the general model proposed by Shannon and Weaver. Some of the different cognitive approaches which are possible are modeling: a) the communicative interaction, with different possibilities depending on which level of the process the researcher wishes to emphasise; b) the acquisition of image information, attending to the perceptual qualities of images, the recognition of objects, the assigning of meaning and the gestalt process; c) the image retrieval process as a problem solving interaction, where the user solves an informational problem by using metacognitive processes, such as search strategies and translation processes; and d) the translation processes between imagination and conceptual thinking that image retrieval requires. The first has a great theoretical potential to integrate the rest of them. From a general point of view, information retrieval interactions constitute communication processes, where semantic and pragmatic aspects are as important as the transmission of a message. In this context, images and text conform to two distinct forms of communication, deeply rooted in our cognitive system, that produce distinct forms of knowledge. In spite of that, pictorial retrieval requires the involvement of conceptual thinking, requiring some kind of translation between concepts and images on the part of the system, the user or the mediator, that is, the information professional.

Form

Bilder

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4. Ayadi, H.; Torjmen-Khemakhem, M.; Daoud, M.; Xiangji Huang, J.; Ben Jemaa, M.: MF-Re-Rank : a modality feature-based re-ranking model for medical image retrieval (2018) 0.22

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5. Zhang, P.; Soergel, D.: Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking (2014) 0.22

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