From b768b215c55874d104a95f49cbea32360fcdf96e Mon Sep 17 00:00:00 2001 From: "Carlos A. Iglesias" Date: Wed, 14 Mar 2018 11:56:33 +0100 Subject: [PATCH] Update vocabularies.rst --- docs/vocabularies.rst | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/vocabularies.rst b/docs/vocabularies.rst index f1848f6..97028f4 100644 --- a/docs/vocabularies.rst +++ b/docs/vocabularies.rst @@ -12,8 +12,13 @@ An overview of the vocabularies and their use can be found in [4]. [1] Guidelines for developing NIF-based NLP services, Final Community Group Report 22 December 2015https://www.w3.org/2015/09/bpmlod-reports/nif-based-nlp-webservices/ + [2] Marl http://www.gsi.dit.upm.es/ontologies/marl/ + [3] Onyx http://www.gsi.dit.upm.es/ontologies/onyx/ + [4] Iglesias, C. A., Sánchez-Rada, J. F., Vulcu, G., & Buitelaar, P. (2017). Linked Data Models for Sentiment and Emotion Analysis in Social Networks. In Sentiment Analysis in Social Networks (pp. 49-69). + [5] Sánchez-Rada, J. F., & Iglesias, C. A. (2016). Onyx: A linked data approach to emotion representation. Information Processing & Management, 52(1), 99-114. + [6] Westerski, A., Iglesias Fernandez, C. A., & Tapia Rico, F. (2011). Linked opinions: Describing sentiments on the structured web of data.