ezDL: An Interactive IR Framework, Search Tool, and Evaluation System

Beckers, Thomas; Dungs, Sebastian; Fuhr, Norbert; Jordan, Matthias; Kontokotsios, Georgios; Kriewel, Sascha; Paraskeuopoulos, Yiannis; Salampasis, Michail

doi:10.1007/978-3-319-12511-4_7

Cited by 7 publications

(13 citation statements)

References 28 publications

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“…To get a more detailed overview of the changes in SUI use over time, figure 2 shows a more detailed distribution of the use of interface features during task 1-3 over time 5 , including an indication 4 In our study, we used a minimum fixation length of 80ms. 5 An analysis using mean fixation time yielded similar results, but of the depth of result list items inspected.…”

Section: Resultsmentioning

confidence: 99%

“…We use the dataset of a previous user study by Tran and Fuhr [56] which used the ezDL system, an advanced open-source IR frontend system supporting search and retrieval activities [5], developed at the University of Duisburg-Essen. The data indexed for the experiment consisted of a collection of 2.7 million book records from Amazon, in combination with LibraryThing data (see [56]).…”

Section: Methodsmentioning

confidence: 99%

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From multistage information-seeking models to multistage search systems

Huurdeman

Kamps

2014

Proceedings of the 5th Information Interaction in Context Symposium

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The ever expanding digital information universe makes us rely on search systems to sift through immense amounts of data to satisfy our information needs. Our searches using these systems range from simple lookups to complex and multifaceted explorations. A multitude of models of the information seeking process, for example Kuhlthau's ISP model, divide the information seeking process for complex search tasks into multiple stages. Current search systems, in contrast, still predominantly use a "one-size-fits-all" approach: one interface is used for all stages of a search, even for complex search endeavors. The main aim of this paper is to bridge the gap between multistage information seeking models, documenting the search process on a general level, and search systems and interfaces, serving as the concrete tools to perform searches. To find ways to reduce the gap, we look at existing models of the information seeking process, at search interfaces supporting complex search tasks, and at the use of interface features over time.Our main contribution is that we conceptually bring together macro level information seeking stages and micro level search system features. We highlight the impact of search stages on the flow of interaction with user interface features, providing new handles for the design of multistage search systems.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

From multistage information-seeking models to multistage search systems

Huurdeman

Kamps

2014

Proceedings of the 5th Information Interaction in Context Symposium

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“…The frontend is based on the ezDL interface [9] but in principle any other type of interface can be used. The system allows querying by keywords and/or image examples and returns a list of images or articles (Fig.…”

Section: D Medical Document Image Searchmentioning

confidence: 99%

A Visual Information Retrieval System for Radiology Reports and the Medical Literature

Markonis

Donner

Holzer

et al. 2014

MultiMedia Modeling

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Abstract. The enormous amount of visual data in Picture Archival and Communication Systems (PACS) and in the medical literature is growing exponentially. In the proposed demo, the medical image search of the KHRESMOI project is presented to solve some of the challenges of medical data management and retrieval. The system allows searching for visual information by combining content-based image retrieval (CBIR) and text retrieval in several languages using semantic concepts. 3D visual retrieval in internal hospital sources is supported by marking volumes of interest (VOI) in the data and connection to the medical literature are established to allow further investigating interesting cases. The system is demonstrated on 5TB of radiology reports with associated images and articles of the biomedical literature with over 1.7M images.

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Section: Introductionmentioning

confidence: 99%

“…The prototype design is based on the investigation of the image use behavior of radiologists [1]. The backend of the system is based on the Parallel Dis-1 Image Search Engine (ParaDISE) first used in [24] and the front end uses the ezDL interface [25].The general research questions that the evaluation tries to answer are: Does the Khresmoi system improve current search for information in radiology (which is mainly patient-centered or using Google on the Internet for general information needs)? Does it cover finding answers to unmet information needs and to what extent are these covered? Which functionalities are more useful and which tools need to be improved, changed or added? …”

mentioning

confidence: 99%

User-oriented evaluation of a medical image retrieval system for radiologists

Markonis

Holzer

Baroz

et al. 2015

International Journal of Medical Informatics

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The iterative character of the evaluation helped to obtain diverse and detailed feedback on all system aspects. Radiologists are quickly familiar with the functionalities but have several comments on desired functionalities. The analysis of the results can potentially assist system refinement for future medical information retrieval systems. Moreover, the methodology presented as well as the discussion on the limitations and challenges of such studies can be useful for user-oriented medical image retrieval evaluation, as user-oriented evaluation of interactive system is still only rarely performed. Such interactive evaluations can be limited in effort if done iteratively and can give many insights for developing better systems.

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ezDL: An Interactive IR Framework, Search Tool, and Evaluation System

Cited by 7 publications

References 28 publications

From multistage information-seeking models to multistage search systems

From multistage information-seeking models to multistage search systems

A Visual Information Retrieval System for Radiology Reports and the Medical Literature

User-oriented evaluation of a medical image retrieval system for radiologists

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