A set of created ontologies for human activity modelling and lifestyle profiling
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README.md

Ontologies

A set of created ontologies for human activity modelling and lifestyle profiling.

For the human activity recognition ontology, see: https://github.com/NataliaDiaz/HumanActivityRecognitionFuzzyDescriptionLogics

Related publications:

[1] A semantic security framework and context-aware role-based access control ontology for Smart Spaces. Shohreh Hosseinzadeh, Natalia Díaz Rodríguez, Seppo Virtanen, Johan Lilius. Semantic Big Data Workshop at ACM SIGMOD 2016, San Francisco.

[2] An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development. Natalia Díaz-Rodríguez, Stefan Grönroos, Frank Wickström, Johan Lilius, Henk Eertink, Andreas Braun, Paul Dillen, James Crowley, Jan Alexandersson. World Conference on Soft Computing, Berkeley, California. 2016.

[3] Díaz Rodríguez, Natalia and León Cadahía, Olmo and Cuéllar, Manuel P. and Lilius, Johan and Delgado-Calvo-Flores, Miguel, Handling Real-World Context-Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method. In: Sensors. MDPI, 2014.

[4] Díaz Rodríguez, Natalia and Wikström, Robin and Lilius, Johan and Pegalajar Cuéllar, Manuel and Delgado Calvo-Flores, Miguel, Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors. In: Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction. Bravo, José and Ochoa, Sergio and Urzaiz, Gabriel and Chen, Liming Luke and Oliveira, Jonice (Eds.). Lecture Notes in Computer Science Springer, 2013.

[5] Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs. Natalia ~Díaz-Rodríguez, Aki Härmä, Ignacio Huitzil, Rim Helaoui, Fernando Bobillo and Umberto Straccia. Submitted to NIPS workshop on Automatic Knowledge Base Construction, 2017, Long Beach, CA. alt text