Designing an ontology-based Zika virus news authoring environment for the semantic web
Autor: | Daniel Rodriguez, Lucas Hiroshi Horinouchi, Edgard Costa Oliveira, Luciano Gois, Marcos V. de A. Nunes, Thabata Hellen Granja, Rafael Batista Menegassi, Edison Ishikawa, George Ghinea |
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Rok vydání: | 2016 |
Předmět: |
Semantic authoring
Ontology Inference Layer Information retrieval Ontology business.industry Computer science computer.internet_protocol Content management system – CMS Ontology-based data integration Authoring tool 030204 cardiovascular system & hematology Ontology (information science) Social Semantic Web OWL-S World Wide Web 03 medical and health sciences 0302 clinical medicine Semantic computing Upper ontology 030212 general & internal medicine Semantic Web Stack business computer Semantic web |
Zdroj: | MEDES |
DOI: | 10.1145/3012071.3012093 |
Popis: | This paper describes the experience of researching and teaching the conceptual and practical basis for the specification, modelling and design of an ontology-based news authoring environment for the Semantic Web, that takes into account the construction and use of an ontology of the Zika disease. Some CMSs are being adapted in order to receive semantic features, such as automatic generations of keywords, semantic annotation and tagging, content reviewing etc. We present here the infrastructure designed to foster research on semantic CMSs as well as semantic web technologies that can be integrated into an ontology-based news authoring environment. |
Databáze: | OpenAIRE |
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