DATA:SEARCH'18 -- Searching Data on the Web
Paul Groth (Elsevier Labs), Laura Koesten (The Open Data Institute +, University of Southampton), Philipp Mayr (GESIS - Leibniz Institute for the, Social Sciences), Maarten de Rijke (University of Amsterdam), Elena Simperl, (University of Southampton)
TL;DR
This workshop discusses challenges and solutions for improving the discovery, description, ranking, and presentation of structured and semi-structured data on the web, aiming to enhance data search and usability.
Contribution
It fosters interdisciplinary discussion and collaboration on algorithms, systems, and frameworks to improve web data discoverability and user interaction.
Findings
Identifies key challenges in web data search
Proposes new algorithms and systems for data discovery
Highlights importance of user-friendly data presentation
Abstract
This half day workshop explores challenges in data search, with a particular focus on data on the web. We want to stimulate an interdisciplinary discussion around how to improve the description, discovery, ranking and presentation of structured and semi-structured data, across data formats and domain applications. We welcome contributions describing algorithms and systems, as well as frameworks and studies in human data interaction. The workshop aims to bring together communities interested in making the web of data more discoverable, easier to search and more user friendly.
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Taxonomy
TopicsData Quality and Management · Information Retrieval and Search Behavior · Semantic Web and Ontologies