How do the experts do it? The use of ethnographic methods as an aid to understanding the cognitive processing and retrieval of large bodies of text

Case, Donald O.

doi:10.1145/62437.62445

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…They include the text forms representing the different ways in which a concept can occur in a real text. The basic objective of CN is to simulate the end user behavior in the process of information retrieval [5], [22].…”

Section: Figure 1 a Global Amcirs Modelmentioning

confidence: 99%

Experiments in retrieval of mineral information

Cakmakov¹,

Davčev²

1993

Proceedings of the First ACM International Conference on Multimedia - MULTIMEDIA '93

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The problems in image retrieval derive from the difficulty to exactly define and interpret the image content. In most cases, image retrieval techniques are based on the data base system techniques [6], [19] or the information retrieval systems, where the image content is represented in a text form [20]. Other image retrieval techniques require that the images belong to a specific domain which must be described in advance [25].In this paper, we present the experiments in retrieval of multimedia mineral information using AMCIRS (A Multimedia Cognitive-based Information Retrieval System) [13].The AMCIRS query based mechanism is based on a multimedia objects content search using the vector model. Each vector is composed of text and image objects. The image objects in the vectors are image object contours, represented by polygonal approximations. The content search process is deduced to the similarity estimation between the MM query and MM index vectors. The similarity function for image objects is based on the polygon similarity estimation.The basic elements of A Multimedia Cognitive-based Information Retrieval System called AMCIRS which integrates image and text information have been described elsewhere [12], [13].In AMCIRS, the content search process is performed using the vector model [26], where the user query and the MM information are presented by the MM query and index vectors respectively. Each vector contains text and image objects. The image objects in the vectors are image object contours, represented by polygonal approximations [24]. The information selection in AMCIRS is based on the similarity estimation between the MM query and MM index vectors. The similarity function for the image objects is deduced to the polygon similarity estimation [14].The experimental evaluation of AMCIRS retrieval effectiveness is expressed by the recall and precision parameters. Possible advantages of multiple media retrieval with respect to the single medium retrieval are also investigated and explicitly represented by the recall-precision diagrams.

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Section: Figure 1 a Global Amcirs Modelmentioning

confidence: 99%

Experiments in retrieval of mineral information

Cakmakov¹,

Davčev²

1993

Proceedings of the First ACM International Conference on Multimedia - MULTIMEDIA '93

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“…In our approach, we try to simulate as closely as possible a real world system, so that the user need not develop any model of his own. For example, in [5] the problem of effective retrieval of textual information is considered. It is argued that historians are a good group to study as experts in managing large quantities of textual information.…”

Section: Representing Information In the Cogni-tive Ne'r'workmentioning

confidence: 99%

A multimedia cognitive-based information retrieval system

Davčev¹,

Cakmakov²,

Cabukovski³

1991

Proceedings of the 19th Annual Conference on Computer Science - CSC '91

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ABSTRACF -The next generation of information retrieval technology will essentially be represented by distributed multimedia systems. The main objective of these systems is to integrate multiple databases, to provide efficient multimedia information retrieval and transparent services for the end user.In this paper, a model and some operations in our cognitivebased multimedia environment will be given. We propose a new methodology for multimedia objects manipulation. Some elements of a general object-oriented multimedia data model called AMCIRS has been described in [11]. In this paper, we intend to extend our AMCIRS model and to address some basic issues such as; search and query based access, the integration of multimedia and knowledge-based systems, support for dynamic user cognition correction.

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Information Retrieval and Filtering of Multimedia Mineral Data

Cakmakov

Davčev

1995

Multimed Tools Appl

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How do the experts do it? The use of ethnographic methods as an aid to understanding the cognitive processing and retrieval of large bodies of text

Cited by 5 publications

References 21 publications

Experiments in retrieval of mineral information

Experiments in retrieval of mineral information

A multimedia cognitive-based information retrieval system

Information Retrieval and Filtering of Multimedia Mineral Data

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