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Visualisation of Linked Data – Reprise

Dadzie, Aba-Sah and Pietriga, Emmanuel (2016). Visualisation of Linked Data – Reprise. Semantic Web , 8(1) pp. 1–21.

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DOI (Digital Object Identifier) Link: https://doi.org/10.3233/SW-160249
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Abstract

Linked Data promises to serve as a disruptor of traditional approaches to data management and use, promoting the push from the traditional Web of documents to a Web of data. The ability for data consumers to adopt a follow your nose approach, traversing links defined within a dataset or across independently-curated datasets, is an essential feature of this new Web of Data, enabling richer knowledge retrieval thanks to synthesis across multiple sources of, and views on, inter-related datasets. But for the Web of Data to be successful, we must design novel ways of interacting with the corresponding very large amounts of complex, interlinked, multi-dimensional data throughout its management cycle. The design of user interfaces for Linked Data, and more specifically interfaces that represent the data visually, play a central role in this respect. Contributions to this special issue on Linked Data visualisation investigate different approaches to harnessing visualisation as a tool for exploratory discovery and basic-to-advanced analysis. The papers in this volume illustrate the design and construction of intuitive means for end-users to obtain new insight and gather more knowledge, as they follow links defined across datasets over the Web of Data.

Item Type: Article
Copyright Holders: 2017 IOS Press and The Authors
ISSN: 2210-4968
Keywords: Linked Data; linked open data; visualisation; visual analysis; exploratory discovery; visual querying
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 48474
Depositing User: Kay Dave
Date Deposited: 13 Feb 2017 14:11
Last Modified: 14 Feb 2017 11:56
URI: http://oro.open.ac.uk/id/eprint/48474
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