Interactive Exploration and Querying of RDF Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43953599" target="_blank" >RIV/49777513:23520/18:43953599 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.thinkmind.org/download.php?articleid=healthinfo_2018_4_30_80098" target="_blank" >http://www.thinkmind.org/download.php?articleid=healthinfo_2018_4_30_80098</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Interactive Exploration and Querying of RDF Data
Popis výsledku v původním jazyce
Many contemporary healthcare information systems incorporate and utilize Resource Description Framework (RDF) datasets, which are characteristic by their flexibility and ability to form complex data networks. Users might find themselves overwhelmed when trying to understand the data layout since there are no apparent rigid structures such as tables in relational databases. In this paper, we present a prototype data exploration tool, that enables users to grasp the data structure by exploring a simplified RDF model. The solution does not rely on ontological description. The visualization has four modes of interaction defined that allow exploration in different levels of detail. One of the modes can be used to interactively create a SPARQL SELECT query. The proposed solution combines graph visualization and data extraction techniques into a single tool and
Název v anglickém jazyce
Interactive Exploration and Querying of RDF Data
Popis výsledku anglicky
Many contemporary healthcare information systems incorporate and utilize Resource Description Framework (RDF) datasets, which are characteristic by their flexibility and ability to form complex data networks. Users might find themselves overwhelmed when trying to understand the data layout since there are no apparent rigid structures such as tables in relational databases. In this paper, we present a prototype data exploration tool, that enables users to grasp the data structure by exploring a simplified RDF model. The solution does not rely on ontological description. The visualization has four modes of interaction defined that allow exploration in different levels of detail. One of the modes can be used to interactively create a SPARQL SELECT query. The proposed solution combines graph visualization and data extraction techniques into a single tool and
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů