In this paper, we introduce Sheet2RDF, a platform for the acquisition and transformation of spreadsheets into RDF datasets. Based on Apache UIMA and CODA, two wider-scoped frameworks respectively aimed at knowledge acquisition from unstructured information and RDF triplification, Sheet2RDF narrows down their capabilities in order to restrict the domain of acquisition to spreadsheets, thus taking into consideration their peculiarities and providing informed solutions facilitating the transformation process, while still exploiting their full potentialities. Sheet2RDF comes also bundled in the form of a plugin for two RDF management platforms: Semantic Turkey and VocBench. The integration with such platforms enhances the level of automatism in the process, thanks to a human-computer interface that can exploit suggestions by users and translate them into proper transformation rules. In addition, it strengthens this interaction by direct contact with the data/vocabularies edited in the platform.

Fiorelli, M., Lorenzetti, T., Pazienza, M.t., Stellato, A., Turbati, A. (2015). Sheet2RDF: a flexible and dynamic spreadsheet import&lifting framework for RDF. In M. Ali, Young Sig Kwon, Chang-Hwan Lee, Juntae Kim, Yongdai Kim (a cura di), Current approaches in applied artificial intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings (pp. 131-140). Heidelberg : Springer [10.1007/978-3-319-19066-2_13].

Sheet2RDF: a flexible and dynamic spreadsheet import&lifting framework for RDF

Fiorelli, M;PAZIENZA, MARIA TERESA;STELLATO, ARMANDO;TURBATI, ANDREA
2015-01-01

Abstract

In this paper, we introduce Sheet2RDF, a platform for the acquisition and transformation of spreadsheets into RDF datasets. Based on Apache UIMA and CODA, two wider-scoped frameworks respectively aimed at knowledge acquisition from unstructured information and RDF triplification, Sheet2RDF narrows down their capabilities in order to restrict the domain of acquisition to spreadsheets, thus taking into consideration their peculiarities and providing informed solutions facilitating the transformation process, while still exploiting their full potentialities. Sheet2RDF comes also bundled in the form of a plugin for two RDF management platforms: Semantic Turkey and VocBench. The integration with such platforms enhances the level of automatism in the process, thanks to a human-computer interface that can exploit suggestions by users and translate them into proper transformation rules. In addition, it strengthens this interaction by direct contact with the data/vocabularies edited in the platform.
2015
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Settore INF/01 - INFORMATICA
Settore INFO-01/A - Informatica
Settore IINF-05/A - Sistemi di elaborazione delle informazioni
English
Rilevanza internazionale
Articolo scientifico in atti di convegno
Human-computer interaction; Ontology engineering; Ontology population; Text analytics; UIMA; Computer science (all); Theoretical computer science
Fiorelli, M., Lorenzetti, T., Pazienza, M.t., Stellato, A., Turbati, A. (2015). Sheet2RDF: a flexible and dynamic spreadsheet import&lifting framework for RDF. In M. Ali, Young Sig Kwon, Chang-Hwan Lee, Juntae Kim, Yongdai Kim (a cura di), Current approaches in applied artificial intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings (pp. 131-140). Heidelberg : Springer [10.1007/978-3-319-19066-2_13].
Fiorelli, M; Lorenzetti, T; Pazienza, Mt; Stellato, A; Turbati, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/132141
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