Smole, D., Čeh, M., & Podobnikar, T. (2011). Evaluation of inductive logic programming for information extraction from natural language texts to support spatial data recommendation services. International Journal of Geographical Information Science, 25(11), 1809-1827. https://doi.org/10.1080/13658816.2011.556640
ISO-690 (author-date, English)SMOLE, Domen, ČEH, Marjan und PODOBNIKAR, Tomaž, 2011. Evaluation of inductive logic programming for information extraction from natural language texts to support spatial data recommendation services. International Journal of Geographical Information Science. 1 November 2011. Vol. 25, no. 11, p. 1809-1827. DOI 10.1080/13658816.2011.556640.
Modern Language Association 9th editionSmole, D., M. Čeh, und T. Podobnikar. „Evaluation of Inductive Logic Programming for Information Extraction from Natural Language Texts to Support Spatial Data Recommendation Services.“. International Journal of Geographical Information Science, Bd. 25, Nr. 11, November 2011, S. 1809-27, https://doi.org/10.1080/13658816.2011.556640.
Mohr Siebeck - Recht (Deutsch - Österreich)Smole, Domen/Čeh, Marjan/Podobnikar, Tomaž: Evaluation of inductive logic programming for information extraction from natural language texts to support spatial data recommendation services., International Journal of Geographical Information Science 2011, 1809-1827.
Emerald - HarvardSmole, D., Čeh, M. und Podobnikar, T. (2011), „Evaluation of inductive logic programming for information extraction from natural language texts to support spatial data recommendation services.“, International Journal of Geographical Information Science, Vol. 25 No. 11, S. 1809-1827.