A Semantic Model for Proactive Home Care Systems
In proactive computing, systems can act to eliminate, mitigate or take advantage of previous knowledge to manipulate situations of...
Development of a Modeling Language for Capability Driven Development: Experiences from Meta-modeling
Changing business environments related to constant variations in customers’ demand, situational conditions, regulations, emerging security threats, etc. may be...
Applying Conceptual Modeling to Better Understand the Human Genome
The objective of the work is to present the benefits of the application of Conceptual Modeling (CM) in complex...
Data Analytics: From Conceptual Modelling to Logical Representation
In recent years, data analytics has been studied in a broad range of areas, such as health-care, social sciences,...
UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases
The need to store and manipulate large volume of (unstructured) data has led to the development of several NoSQL...
Building Large Models of Law with NómosT
Laws and regulations impact the design of software systems, as they introduce new requirements and constrain existing ones. The...
An Efficient and Simple Graph Model for Scientific Article Cold Start Recommendation
Since there is little history information for the newly published scientific articles, it is difficult to recommend related new...
Keyword Queries over the Deep Web
The Deep Web is constituted by data that are accessible through Web pages, but not indexable by search engines...
Sensor Observation Service Semantic Mediation: Generic Wrappers for In-Situ and Remote Devices
In-situ and remote sensors produce data that fit different data modeling paradigms, namely, Entity/Relationship paradigm for the former and...
Key Performance Indicator Elicitation and Selection Through Conceptual Modelling
Key Performance Indicators (KPIs) operationalize ambiguous enterprise goals into quantified variables with clear thresholds. Their usefulness has been established...
