The entity-relationship (ER) model, using varying notations and with some semantic
variations, is enjoying a remarkable and increasing popularity in both the research …

Temporal information is crucial in electronic medical records and biomedical information
systems. Processing temporal information in medical narrative data is a very challenging …

We present the Tiny AGgregation (TAG) service for aggregation in low-power, distributed,
wireless environments. TAG allows users to express simple, declarative queries and have …

Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Spatio-temporal databases deal with geometries changing over time. The goal of our work is
to provide a DBMS data model and query language capable of handling such time …

Today large corporations are constructing enterprise data warehouses from disparate data
sources in order to run enterprise-wide data analysis applications, including decision …

Moving Objects Databases is the first uniform treatment of moving objects databases, the
technology that supports GPS and RFID. It focuses on the modeling and design of data from …

Relational databases have limited support for data collaboration, where teams
collaboratively curate and analyze large datasets. Inspired by software version control …

Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

Graph databases are becoming increasingly popular for modeling different kinds of
networks for data analysis. They are built over the property graph data model, where nodes …