@inproceedings{
 title = {T2WML: A cell-based language to map tables into wikidata records},
 type = {inproceedings},
 year = {2019},
 keywords = {Entity Linking,Knowledge Graphs,RDF,Wikidata},
 volume = {2456},
 id = {8abe531c-5d7c-3c81-ae64-548a03bcc584},
 created = {2019-10-20T23:59:00.000Z},
 file_attached = {false},
 profile_id = {a4dd3107-a343-3164-8df4-d46fe9e15cfc},
 last_modified = {2021-01-15T18:06:50.205Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {Copyright (c) 2019 for this paper by its authors. 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, or loaded in a Wikidata clone, creating an augmented Wikidata knowledge graph that application developers can query using SPARQL.1},
 bibtype = {inproceedings},
 author = {Szekely, P. and Garijo, D. and Pujara, J. and Bhatia, D. and Wu, J.},
 booktitle = {CEUR Workshop Proceedings}
}

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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. 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