Towards Easier Visualization of Linked Data for Lay Users

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10363684" target="_blank" >RIV/00216208:11320/17:10363684 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3102254.3102261" target="_blank" >http://dx.doi.org/10.1145/3102254.3102261</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3102254.3102261" target="_blank" >10.1145/3102254.3102261</a>

Result language

angličtina

Original language name

Towards Easier Visualization of Linked Data for Lay Users

Original language description

There are lots of Linked Open Data (LOD) datasets published today. However, the possibilities of their consumption are very limited and certainly not suitable for lay users. A lay user is often insufficiently shielded from the RDF format, e.g. when facing resource IRIs. Also, he needs to be a domain expert to understand the published datasets as they are published in a form which provides as much information as possible. Typically, a middle man is needed to interpret the data for the lay users and to create an understandable view. However, due to the lack of LOD enabled tools, the data gets converted to a lesser data format such as CSV, XML or JSON and therefore looses its semantics. In this paper, we identify and formalize the current problems related to publishing Linked Data based visualizations and we propose a method of configuring views for lay users. Moreover, we present a tool, LinkedPipes Visualization Assistant (LPVA), which experimentally implements the proposed method. We also evaluate the implementation and present two experiments based on real world data.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA16-09713S" target="_blank" >GA16-09713S: Efficient Exploration of Linked Data Cloud</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

WIMS &apos;17 Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics

ISBN

978-1-4503-5225-3

ISSN

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e-ISSN

neuvedeno

Number of pages

9

Pages from-to

1-9

Publisher name

ACM

Place of publication

New York, NY, USA

Event location

Amantea, Italy

Event date

Jun 19, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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