T2WML table to wikidata mapping language. Szekely, P., Garijo, D., Bhatia, D., Wu, J., Yao, Y., & Pujara, J. In K-CAP 2019 - Proceedings of the 10th International Conference on Knowledge Capture, 2019. doi abstract bibtex 36 downloads © 2019 ACM. The web contains millions of useful spreadsheets and CSV files, but these files are difficult to use in applications because they use a wide variety of data layouts and terminology. We present Table To Wikidata Mapping Language (T2WML), a language that makes it easy to map and link arbitrary spreadsheets and CSV files to the Wikidata data model. The output of T2WML consists of Wikidata statements that can be loaded in the public Wikidata knowledge base or in a Wikidata clone repository, creating an augmented Wikidata knowledge graph that application developers can query using SPARQL.
@inproceedings{
title = {T2WML table to wikidata mapping language},
type = {inproceedings},
year = {2019},
keywords = {Entity linking,Knowledge graphs,Rdf,Wikidata},
id = {0d377827-19e3-3ec7-afd7-a2042bc70bbd},
created = {2020-01-08T23:59:00.000Z},
file_attached = {false},
profile_id = {a4dd3107-a343-3164-8df4-d46fe9e15cfc},
last_modified = {2021-03-02T22:23:07.617Z},
read = {false},
starred = {false},
authored = {true},
confirmed = {false},
hidden = {false},
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abstract = {© 2019 ACM. The web contains millions of useful spreadsheets and CSV files, but these files are difficult to use in applications because they use a wide variety of data layouts and terminology. We present Table To Wikidata Mapping Language (T2WML), a language that makes it easy to map and link arbitrary spreadsheets and CSV files to the Wikidata data model. The output of T2WML consists of Wikidata statements that can be loaded in the public Wikidata knowledge base or in a Wikidata clone repository, creating an augmented Wikidata knowledge graph that application developers can query using SPARQL.},
bibtype = {inproceedings},
author = {Szekely, P. and Garijo, D. and Bhatia, D. and Wu, J. and Yao, Y. and Pujara, J.},
doi = {10.1145/3360901.3364448},
booktitle = {K-CAP 2019 - Proceedings of the 10th International Conference on Knowledge Capture}
}
Downloads: 36
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