On-line analytical processing (OLAP) systems considerably improve data analysis and are
finding wide-spread use. OLAP systems typically employ multidimensional data models to …

From environmental management to land planning and geo-marketing, the number of
application domains that may greatly benefit from using data enriched with spatio-temporal …

Pervasive computing applications are increasingly leveraging contextual information from
several sources to provide users with behavior appropriate to the environment in which they …

In applications like location-based services, sensor monitoring and biological databases, the
values of the database items are inherently uncertain in nature. An important query for …

In this paper we address the problem of modeling and implementing temporal data in XML.
We propose a data model for tracking historical information in an XML document and for …

Large-scale event systems are becoming increasingly popular in a variety of domains. Event
pattern evaluation plays a key role in monitoring applications in these domains. Existing …

Time modeling is a crucial feature in many application domains. However, temporal
information often is not crisp, but is uncertain, subjective and vague. This is particularly true …

Timestamps are often found to be dirty in various scenarios, eg, in distributed systems with
clock synchronization problems or unreliable RFID readers. Without cleaning the imprecise …

Transaction time databases retain and provide access to prior states of a database. An
update" inserts" a new record while preserving the old version. Immortal DB builds …

Dyreson and Snodgrass have drawn attention to the fact that, in many temporal database
applications, there is often uncertainty about the start time of events, the end time of events …