Designing User Interfaces for Curation Technologies

Rehm, Georg; He, Jing; Schneider, Julián Moreno; Nehring, Jan; Quantz, Joachim

doi:10.1007/978-3-319-58521-5_31

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…The motivation is to make the curators more efficient, to delegate routine tasks to the machine and to enable curators to produce higher quality products because the machine may be able to identify interesting, novel, eye-opening relationships between two pieces of content that a human is unable to recognise. The technologies, prototypically implemented and successfully applied in four sectors, show very promising results (Rehm et al 2017a), even though the individual implementations of the interactive storytelling approaches are quite specific.…”

Section: Discussionmentioning

confidence: 99%

“…Initial user research provided valuable insights into the needs of the knowledge workers in this specific use case, especially regarding the kinds of tools and environments each user is familiar with as well as extrapolating their usage patterns (Rehm et al 2017a). Incoming content materials, provided by clients, include large heterogeneous document collections, e.g., books, images, scientific papers etc.…”

Section: Sector: Museums and Exhibitionsmentioning

confidence: 99%

“…We realised several approaches including a network overview, semantic clustering, timelining and maps. In an evaluation the knowledge workers concluded that the implemented interfaces provides a good overview of the subject and that they would use the tool at the beginning of a project, particularly when confronted with massive amounts of text (Rehm et al 2017a).…”

Section: Sector: Museums and Exhibitionsmentioning

confidence: 99%

See 2 more Smart Citations

Language Technologies for the Challenges of the Digital Age

Rehm¹,

Declerck²

2018

Lecture Notes in Computer Science

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Section: Discussionmentioning

confidence: 99%

Section: Sector: Museums and Exhibitionsmentioning

confidence: 99%

Section: Sector: Museums and Exhibitionsmentioning

confidence: 99%

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Language Technologies for the Challenges of the Digital Age

Rehm¹,

Declerck²

2018

Lecture Notes in Computer Science

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“…More details on the involvement of knowledge workers in the design and evaluation process can be found in [7,8].…”

Section: Semi-automatic Toolsmentioning

confidence: 99%

Interactive Knowledge Visualization Tools for Exhibition Curation

He¹,

Quantz²

2018

IJC

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This paper presents interactive knowledge visualization tools supporting knowledge workers in the process of curating digital content for exhibitions, showrooms, visitor centers or museums. The tools developed in the research project DKT (Digital Curation Technologies), funded by the Federal Ministry of Education and Research (BMBF), use language and knowledge technologies (such as information extraction, image recognition, classification and clustering) to automatically process digital multimedia content and then provide interactive visualizations of the results. The tools are thus not meant to replace knowledge workers but rather to support them and allow them to handle more content in a shorter span of time while maintaining or even increasing the quality of the curation process. Given this particular application scenario, the performance and accuracy of current state-of-the-art algorithms from Artificial Intelligence, though far from being perfect, is already good enough. The focus of the project work presented in this paper is on information extraction and text content.

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“…The slider below the map can be used to filter events by time. Additional details and case studies can be found in (Rehm et al, 2017a;. We will explore if we can integrate part of this prototype tool into the Superdesk extension.…”

Section: Visualisationmentioning

confidence: 99%

Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard

Schneider

Srivastava

Bourgonje

et al. 2017

Proceedings of the 2017 EMNLP Workshop: Natural Language Processing Meets Journalism

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We present a prototypical content curation dashboard, to be used in the newsroom, and several of its underlying semantic content analysis components (such as named entity recognition, entity linking, summarisation and temporal expression analysis). The idea is to enable journalists (a) to process incoming content (agency reports, twitter feeds, reports, blog posts, social media etc.) and (b) to create new articles more easily and more efficiently. The prototype system also allows the automatic annotation of events in incoming content for the purpose of supporting journalists in identifying important, relevant or meaningful events and also to adapt the content currently in production accordingly in a semi-automatic way. One of our long-term goals is to support journalists building up entire storylines with automatic means. In the present prototype they are generated in a backend service using clustering methods that operate on the extracted events.

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Designing User Interfaces for Curation Technologies

Cited by 7 publications

References 2 publications

Language Technologies for the Challenges of the Digital Age

Language Technologies for the Challenges of the Digital Age

Interactive Knowledge Visualization Tools for Exhibition Curation

Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard

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