scholarly journals Foundations of a live data exploration environment

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Tomas Petricek
Keyword(s):  
Data Exploration ◽  
Exploration Environment

scholarly journals RMLx : Mapping Interface for Integrating Open Data with Linked Data Exploration Environment

2017 ◽  
Author(s):  
Peb Ruswono Aryan ◽  
Fajar Juang Ekaputra ◽  
Kabul Kurniawan ◽  
Elmar Kiesling ◽  
A Min Tjoa
Keyword(s):  
Linked Data ◽  
Large Scale ◽  
Open Data ◽  
Data Exploration ◽  
Data Sources ◽  
Data Generation ◽  
Web Interface ◽  
Rdf Data ◽  
Exploration Environment ◽  
Mapping Language

Recent advances in linked data generation through mapping such as RML (RDF mapping language) allows for providing large-scale RDF data in a more automatic way.However, considerable amount of data in open data portals remain inaccessible as linked data.This is due to the nature of data portals having large number of small-size dataset which makes writing mapping description becomes tedious and error-prone. Moreover, these data sources requires additional preprocessing before To solve this challenge, We introduce extensions to RML to support required tasks and developed RMLx, a visual web-interface to create RML mappings.Using this interface, the process of creating mapping description can become faster and less error-prone.Furthermore, the process of linked data generation can be wrapped as to enable integration with other data in a linked data exploration environment. We explore on four different use cases to identify the requirements followed by describing how these are solved.

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