Behavior Ontology to Model Collective Behavior of Emergency Medical Systems
It is very important to understand system behaviors in collective pattern for each knowledge domain. However, there are structural...
Data Modelling for Dynamic Monitoring of Vital Signs: Challenges and Perspectives
The use-case described in this paper covers data acquisition and real-time analysis of the gathered medical data from wearable...
Towards Care Systems Using Model-Driven Adaptation and Monitoring of Autonomous Multi-clouds
In cloud computing, the ability to run and manage multi-cloud systems allows exploiting the peculiarities of each cloud solution...
Renormalization of NoSQL Database Schemas
NoSQL applications often use denormalized databases in order to meet performance goals, but this introduces complications as the database...
Clustering Event Traces by Behavioral Similarity
The automated analysis of event logs in smart homes could provide an IT-aided support for a highly autonomous and...
Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL Databases
In this work, we propose HerM (Heterogeneous Distributed Model), a NoSQL data modeling approach which supports the use of...
Goal-Based Selection of Visual Representations for Big Data Analytics
The H2020 TOREADOR Project adopts a model-driven architecture to streamline big data analytics and make it widely available to...
How the Conceptual Modelling Improves the Security on Document Databases
Big Data is becoming a prominent trend in our society. Ever larger amounts of data, including sensitive and personal...
A Four V’s Design Approach of NoSQL Graph Databases
Big Data has been described as a four-dimensional model with Volume, Variety, Velocity, and Veracity. In this paper we...
Leveraging the Dynamic Changes from Items to Improve Recommendation
User-generated reviews contain rich information, which has been ignored by most of recommender systems. Recently, some recommender systems using...
