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A User Centred Perspective on Structured Data Discovery

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Laura KoestenAuthors Info & Claims

WWW '18: Companion Proceedings of the The Web Conference 2018

Pages 849 - 853

https://doi.org/10.1145/3184558.3186574

Published: 23 April 2018 Publication History

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Abstract

Structured data is becoming critical in every domain and its availability on the web is increasing rapidly. Despite its abundance and variety of applications, we know very little about how people find data, understand it, and put it to use. This work aims to inform the design of data discovery tools and technologies from a user centred perspective. We aim to better understand what type of information supports people in finding and selecting data relevant for their respective tasks. We conducted a mixed-methods study looking at the workflow of data practitioners when searching for data. From that we identified textual summaries as a key element that supports the decision making process in information seeking activities for data. Based on these results we performed a mixed-methods study to identify attributes people consider important when summarising a dataset. We found text summaries are laid out according to common structures, contain four main information types, and cover a set of dataset features. We describe follow-up studies that are planned to validate these findings and to evaluate their applicability in a dataset search scenario.

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Cited By

Almuntashiri AIbáñez LChapman A(2023)A Taxonomy of Dataset SearchAdvances on Intelligent Computing and Data Science10.1007/978-3-031-36258-3_50(562-573)Online publication date: 17-Aug-2023
https://doi.org/10.1007/978-3-031-36258-3_50
Nečaský MŠkoda PBernhauer DKlímek JSkopal T(2022)Modular framework for similarity-based dataset discovery using external knowledgeData Technologies and Applications10.1108/DTA-09-2021-026156:4(506-535)Online publication date: 15-Feb-2022
https://doi.org/10.1108/DTA-09-2021-0261
Bernhauer DNečaský MŠkoda PKlímek JSkopal T(2022)Open dataset discovery using context-enhanced similarity searchKnowledge and Information Systems10.1007/s10115-022-01751-z64:12(3265-3291)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s10115-022-01751-z
Show More Cited By

Index Terms

A User Centred Perspective on Structured Data Discovery
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Laboratory experiments
      2. User studies
2. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Presentation of retrieval results
    2. Retrieval tasks and goals
      1. Expert search
      2. Summarization
  2. World Wide Web
    1. Web searching and information discovery

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Published In

cover image ACM Other conferences

WWW '18: Companion Proceedings of the The Web Conference 2018

April 2018

2023 pages

ISBN:9781450356404

General Chairs:
Pierre-Antoine Champin
Université Claude Bernard Lyon 1, France
,
Fabien Gandon
Inria, Université Côte d'Azur, CNRS, I3S, France
,
Lionel Médini
Université Claude Bernard Lyon 1, CNRS, LIRIS, France
,
Program Chairs:
Mounia Lalmas
Spotify, UK
,
Panagiotis G. Ipeirotis
New York University, USA

Copyright © 2018 ACM.

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 23 April 2018

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Marie Skodowska-Curie ITN

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WWW '18

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IW3C2

WWW '18: The Web Conference 2018

April 23 - 27, 2018

Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Almuntashiri AIbáñez LChapman A(2023)A Taxonomy of Dataset SearchAdvances on Intelligent Computing and Data Science10.1007/978-3-031-36258-3_50(562-573)Online publication date: 17-Aug-2023
https://doi.org/10.1007/978-3-031-36258-3_50
Nečaský MŠkoda PBernhauer DKlímek JSkopal T(2022)Modular framework for similarity-based dataset discovery using external knowledgeData Technologies and Applications10.1108/DTA-09-2021-026156:4(506-535)Online publication date: 15-Feb-2022
https://doi.org/10.1108/DTA-09-2021-0261
Bernhauer DNečaský MŠkoda PKlímek JSkopal T(2022)Open dataset discovery using context-enhanced similarity searchKnowledge and Information Systems10.1007/s10115-022-01751-z64:12(3265-3291)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s10115-022-01751-z
Skopal TBernhauer DŠkoda PKlímek JNečaský M(2021)Similarity vs. Relevance: From Simple Searches to Complex DiscoverySimilarity Search and Applications10.1007/978-3-030-89657-7_9(104-117)Online publication date: 29-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-89657-7_9
Phillips DSmit M(2021)Toward Best Practices for Unstructured Descriptions of Research DataProceedings of the Association for Information Science and Technology10.1002/pra2.45858:1(303-314)Online publication date: 13-Oct-2021

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