Comparison of City Performances Through Statistical Linked Data Exploration

2017 ◽  
pp. 3-12
Author(s):  
Claudia Diamantini ◽  
Domenico Potena ◽  
Emanuele Storti
Keyword(s):  
Linked Data ◽  
Data Exploration

A Quality Model for Linked Data Exploration

2016 ◽  
pp. 397-404 ◽  
Author(s):  
Cinzia Cappiello ◽  
Tommaso Di Noia ◽  
Bogdan Alexandru Marcu ◽  
Maristella Matera
Keyword(s):  
Linked Data ◽  
Data Exploration ◽  
Quality Model

scholarly journals Analysis of consistency in large multi-section courses using exploration of linked visual data summaries

2015 ◽  
Author(s):  
Mehmet Adil Yalcin ◽  
Elizabeth E Gardner ◽  
Lindsey B Anderson ◽  
Rowie Kirby-Straker ◽  
Andrew D. Wolvin ◽  
...  
Keyword(s):  
Linked Data ◽  
Oral Communication ◽  
Data Exploration ◽  
Communication Course ◽  
Teaching Activities ◽  
University Instructors ◽  
Emerging Patterns ◽  
Tightly Coupled ◽  
Education Courses ◽  
Data Summaries

Higher education courses with large student enrollments are commonly offered in multiple sections by multiple instructors. Monitoring consistency of teaching activities across sections is crucial in achieving equity for all students, and in developing strategies in response to emerging patterns and outliers. To address this need, we present an approach to analyze the multivariate data of sections, assignments and student submissions collected by a learning management system (LMS) using a new data exploration framework that we call linked data summaries. Data summaries are a unit of exploration with uncluttered, analytical, comprehensible visualizations of aggregations of data records attributes. Data browsers link multiple summaries and record lists, and enable flexible and rapid data analysis through tightly coupled interaction. Our analysis approach, developed in collaboration between analytics researchers and university instructors, reveals patterns across many aspects, including assignment and section structures, submission grading and timeliness. We present findings from an analysis of three semesters of an introductory oral communication course with over 1,750 students and 90 sections per semester.

scholarly journals A Conceptual Framework for Linked Data Exploration

2012 ◽  
pp. 109-118
Author(s):  
Alessandro Bozzon ◽  
Marco Brambilla ◽  
Emanuele Della Valle ◽  
Piero Fraternali ◽  
Chiara Pasini
Keyword(s):  
Conceptual Framework ◽  
Linked Data ◽  
Data Exploration

scholarly journals Linked Data Exploration With RDF Surveyor

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 172199-172213
Author(s):  
Guillermo Vega-Gorgojo ◽  
Laura Slaughter ◽  
Bjorn Marius Von Zernichow ◽  
Nikolay Nikolov ◽  
Dumitru Roman
Keyword(s):  
Linked Data ◽  
Data Exploration

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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