DocumentCode :
2488028
Title :
Surfacing scientific and financial data with the Xcel2RDF plug-in
Author :
Pesce, Marcia Lucas ; Breitman, Karin K. ; Casanova, Marco Antonio
Author_Institution :
Dept. de Inf., PUC-Rio, Rio de Janeiro, Brazil
fYear :
2012
fDate :
3-3 June 2012
Firstpage :
73
Lastpage :
78
Abstract :
Given the astounding amount of data stored in spreadsheets and relational databases, a critical requirement for the evolution of the Semantic Web (SW) is the ability to convert data to SW compatible formats, such as RDF and OWL. The process by which data is transformed into RDF is known as triplification. This paper introduces Xcel2RDF, an MS Excel plug-in to support the triplification of spreadsheets, which minimizes the learning curve, as it is integrated into a widely used spreadsheet software tool. The plug-in is user-friendly, does not depend on the installation of additional software and does not require the user to leave his familiar environment, thereby avoiding problems reported as the major drawbacks of existing spreadsheet to RDF conversion tools. Finally, as a proof of concept, the paper illustrates how to use the tool to triplify statistical data.
Keywords :
electronic data interchange; financial data processing; human computer interaction; learning (artificial intelligence); relational databases; semantic Web; software tools; spreadsheet programs; statistical analysis; MS Excel plug-in; OWL; RDF conversion tools; SW compatible formats; Xcel2RDF plug-in; data conversion; financial data; learning curve; relational databases; scientific data; semantic Web; software installation; spreadsheet software tool; spreadsheets; statistical data; triplification; user-friendly plug-in; Resource description framework; Search engines; Semantics; Standards; Usability; Vocabulary; Excel; Linked Open Data; RDF; Spreadsheet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Developing Tools as Plug-ins (TOPI), 2012 2nd Workshop on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1819-8
Type :
conf
DOI :
10.1109/TOPI.2012.6229814
Filename :
6229814
Link To Document :
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