Ordia: A Web Application for Wikidata Lexemes

  • Finn Årup NielsenEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)


Since 2018, Wikidata has had the ability to describe lexemes, and the associated SPARQL endpoint Wikidata Query Service can query this information and visualize the results. Ordia is a Web application that displays the multilingual lexeme data of Wikidata based on embedding of the responses from the Wikidata Query Service via templated SPARQL queries. Ordia has also a SPARQL-based approach for online matching of the words of a text with Wikidata lexemes and the ability to use a knowledge graph embedding as part of a SPARQL query. Ordia is available from


  1. 1.
    Mikolov, T., Chen, K., Corrado, G.S., Dean, J.: Efficient estimation of word representations in vector space, January 2013.
  2. 2.
    Nielsen, F.Å.: Wembedder: Wikidata entity embedding web service, October 2017.
  3. 3.
    Nielsen, F.Å., Mietchen, D., Willighagen, E.: Scholia, scientometrics and Wikidata. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds.) ESWC 2017. LNCS, vol. 10577, pp. 237–259. Springer, Cham (2017). Scholar
  4. 4.
    Pintscher, L.: Let’s move forward with support for Wiktionary. Wikidata mailing list, September 2016.
  5. 5.
    Ristoski, P., Paulheim, H.: RDF2Vec: RDF graph embeddings for data mining. In: Groth, P., et al. (eds.) ISWC 2016. LNCS, vol. 9981, pp. 498–514. Springer, Cham (2016). Scholar
  6. 6.
    Sérasset, G.: DBnary: Wiktionary as a lemon-based multilingual lexical resource in RDF. Semant. Web 6(4), 355–361 (2015). Scholar
  7. 7.
    Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57, 78–85 (2014) CrossRefGoogle Scholar
  8. 8.
    Řehůřek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: New Challenges For NLP Frameworks Programme, pp. 45–50, May 2010Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Cognitive Systems, DTU ComputeTechnical University of DenmarkKongens LyngbyDenmark

Personalised recommendations