Collection understanding

Chang, Michelle C. Y.; Leggett, John J.; Furuta, Richard; Kerne, Andruid; Williams, Patrick; Burns, Samuel A.; Bias, Randolph G.

doi:10.1145/996350.996426

Cited by 37 publications

(17 citation statements)

References 44 publications

(30 reference statements)

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“…Categorized by one's own criteria also has some educational effect. Browsing tools are more effective than retrieval systems for such purposes [44]. One of the most frequently used methods is sorting while browsing.…”

Section: Usabilitymentioning

confidence: 99%

Image retrieval: Research and use in the information explosion

Inoue

2009

Prog. Inform.

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We surveyed the current research on the retrieval and utilization of images. This paper provides an overview of the difficulties and possibilities of technological or technology-related research topics resulting from the huge amount of images currently available and highlights some of the important research topics. We looked at the ongoing research activities and analyzed them from four aspects, information access and organization technology, the computing infrastructure that enables access to large-scale image resources, issues in human-system interaction and human factors related to using images, and the social aspect of image media. On the technical side, we noticed that as the number of digital images increases, so does the importance of the accuracy and scalability in relation to the image retrieval. The accuracy and scalability are in fact needed to cope with the current explosion in digital images. On the social side, not so long ago, image retrieval technologies were only experimental tools or used by experts within a limited domain. However, now the general public has access to a wide range of digital images, which means that image retrieval technologies are being used by various users in a large diversity of social contexts. Thus, as we show in this paper, the accuracy and scalability are not the only important factors in the era of information explosion, but that researchers must also be concerned with the social aspects of these technologies.

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Section: Usabilitymentioning

confidence: 99%

Image retrieval: Research and use in the information explosion

Inoue

2009

Prog. Inform.

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“…The importance of effective visual interfaces to collections has been recognized by a number of researchers [2][3][4], but in the context of remote digital libraries where finding and using materials are constrained to be separate activities.…”

Section: Prior Workmentioning

confidence: 99%

“…In recent years, the importance of effective visualization tools and visual interfaces to digital library collections has been recognized [2][3][4]. In the case of a personal digital library, an opportunity exists to blur the traditional separation between searching for materials and using them.…”

Section: Introductionmentioning

confidence: 99%

A Fluid Interface for Personal Digital Libraries

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Janssen

et al. 2005

Research and Advanced Technology for Digital Libraries

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Abstract. An advanced interface is presented for fluid interaction in a personal digital library system. The system employs a zoomable planar representation of a collection using hybrid continuous/quantum treemap visualizations to facilitate navigation while minimizing cognitive load. The system is particularly well suited to user tasks which, in the physical world, are normally carried out by laying out a set of related documents on a physical desk -namely, those tasks that require frequent and rapid transfer of attention from one document in the collection to another. Discussed are the design and implementation of the system as well as its relationship to previous work.

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“…One approach to this problem is to explicitly include image and text surrogates among the metadata that is specified for each document, just as abstracts are kept as textual representations. Image and text surrogates function as "boosters" [28] that add value to the process of content aggregation by promoting collection understanding [6].…”

Section: Introductionmentioning

confidence: 99%

Elimination of junk document surrogate candidates through pattern recognition

Koh

Caruso

Kerne

et al. 2007

Proceedings of the 2007 ACM Symposium on Document Engineering

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A surrogate is an object that stands for a document and enables navigation to that document. Hypermedia is often represented with textual surrogates, even though studies have shown that image and text surrogates facilitate the formation of mental models and overall understanding. Surrogates may be formed by breaking a document down into a set of smaller elements, each of which is a surrogate candidate. While processing these surrogate candidates from an HTML document, relevant information may appear together with less useful junk material, such as navigation bars and advertisements. This paper develops a pattern recognition based approach for eliminating junk while building the set of surrogate candidates. The approach defines features on candidate elements, and uses classification algorithms to make selection decisions based on these features. For the purpose of defining features in surrogate candidates, we introduce the Document Surrogate Model (DSM), a streamlined Document Object Model (DOM)-like representation of semantic structure. Using a quadratic classifier, we were able to eliminate junk surrogate candidates with an average classification rate of 80%. By using this technique, semiautonomous agents can be developed to more effectively generate surrogate collections for users. We end by describing a new approach for hypermedia and the semantic web, which uses the DSM to define value-added surrogates for a document.

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Collection understanding

Cited by 37 publications

References 44 publications

Image retrieval: Research and use in the information explosion

Image retrieval: Research and use in the information explosion

A Fluid Interface for Personal Digital Libraries

Elimination of junk document surrogate candidates through pattern recognition

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