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Making linked-data accessible: A review

Mussa, Omar, Rana, Omer ORCID:, Goossens, Benoît ORCID:, Orozco-terWengel, Pablo ORCID: and Perera, Charith ORCID: 2022. Making linked-data accessible: A review. [Technical Report]. Cardiff: Cardiff University.

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Linked-Data (LD) is a paradigm that utilises the RDF triplestore to describe numerous pieces of knowledge linked together. When an entity is retrieved in LD, its associated data becomes instantly obtainable. SPARQL is the query language that allows users to access LD. On the other hand, SPARQL has a complicated syntax that necessitates previous knowledge. Thus, in order to encourage the end-users to use LD, it is crucial to allow them to obtain the data efficiently, in addition to improving their overall experience. Instead of manually constructing SPARQL queries, this paper investigates and reviews existing methods in which LD can be accessed using various tools and techniques, including query builders, visualisation approaches, and several LD applications. We then identify gaps within the literature and highlight future research directions.

Item Type: Monograph (Technical Report)
Date Type: Completion
Status: Unpublished
Schools: Computer Science & Informatics
Uncontrolled Keywords: Linked-Data, Linked open data, Visual querying, SPARQL, Query builders, Visualization
Publisher: Cardiff University
Last Modified: 29 May 2024 19:00

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