Interactive and iterative visual exploration of knowledge graphs based on shareable and reusable visual configurations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448311" target="_blank" >RIV/00216208:11320/22:10448311 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ePXIVFz2.q" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ePXIVFz2.q</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.websem.2022.100713" target="_blank" >10.1016/j.websem.2022.100713</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Interactive and iterative visual exploration of knowledge graphs based on shareable and reusable visual configurations

Popis výsledku v původním jazyce

Knowledge graphs denote structured data which represent entities and relationships between them in a form of a graph, often expressed in the RDF data model. It may be hard for lay users to explore existing knowledge graphs, especially when graphs from different data sources need to be integrated. In this paper, we present an approach to knowledge graph visual exploration based on the concept of shareable and reusable visual configurations. A visual configuration comprises domain specific views on a knowledge graph which define operations such as node detail or expansion. These operations are easy to understand for lay users who can use them to explore a graph while complexities unnecessary in a given application context remain hidden. We introduce an ontology which enables to express and publish visual configurations and reuse their components in other configurations. We also provide an experimental implementation called KGBrowser. We evaluate the proposed approach with real users. We also compare our implementation KGBrowser with other existing tools for knowledge graph visualization and exploration. (C)&amp; nbsp;2022 Elsevier B.V. All rights reserved.

Název v anglickém jazyce

Interactive and iterative visual exploration of knowledge graphs based on shareable and reusable visual configurations

Popis výsledku anglicky

Knowledge graphs denote structured data which represent entities and relationships between them in a form of a graph, often expressed in the RDF data model. It may be hard for lay users to explore existing knowledge graphs, especially when graphs from different data sources need to be integrated. In this paper, we present an approach to knowledge graph visual exploration based on the concept of shareable and reusable visual configurations. A visual configuration comprises domain specific views on a knowledge graph which define operations such as node detail or expansion. These operations are easy to understand for lay users who can use them to explore a graph while complexities unnecessary in a given application context remain hidden. We introduce an ontology which enables to express and publish visual configurations and reuse their components in other configurations. We also provide an experimental implementation called KGBrowser. We evaluate the proposed approach with real users. We also compare our implementation KGBrowser with other existing tools for knowledge graph visualization and exploration. (C)&amp; nbsp;2022 Elsevier B.V. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/GA19-01641S" target="_blank" >GA19-01641S: Kontextové podobnostní vyhledávání v otevřených datech</a><br>

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Journal of Web Semantics

ISSN

1570-8268

e-ISSN

1873-7749

Svazek periodika

73

Číslo periodika v rámci svazku

July 2022

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

19

Strana od-do

100713

Kód UT WoS článku

000794858500001

EID výsledku v databázi Scopus

2-s2.0-85127789111