Enriching datasets with additional information to build robust models is an essential task in many data science applications. Also, the huge availability of Linked Data encourages to reuse and integrate such high-quality information. The ASIA tool assists users in annotating tabular data both at schema- and instance-level, in such a way to enable data extension. This demo paper presents its core capabilities.

Cutrona, V., Ciavotta, M., De Paoli, F., Palmonari, M. (2019). Asia: A tool for assisted semantic interpretation and annotation of tabular data. In Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019) (pp.209-212). CEUR-WS.

Asia: A tool for assisted semantic interpretation and annotation of tabular data

Cutrona, V
;
Ciavotta, M
;
De Paoli, F
;
Palmonari, M
2019

Abstract

Enriching datasets with additional information to build robust models is an essential task in many data science applications. Also, the huge availability of Linked Data encourages to reuse and integrate such high-quality information. The ASIA tool assists users in annotating tabular data both at schema- and instance-level, in such a way to enable data extension. This demo paper presents its core capabilities.
paper
Data enrichment; Linked data; Semantic annotation;
Semantic annotation, Data enrichment, Linked Data
English
2019 ISWC Satellite Tracks (Posters and Demonstrations, Industry, and Outrageous Ideas), ISWC 2019-Satellites
2019
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019)
2019
2456
209
212
open
Cutrona, V., Ciavotta, M., De Paoli, F., Palmonari, M. (2019). Asia: A tool for assisted semantic interpretation and annotation of tabular data. In Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019) (pp.209-212). CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/261058
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