Temporal active databases are an extension of the traditional database concept. On the temporal side, data is associated to time points or periods and, on the active side, temporal rules provide a means by which some temporal data in the database may force the insertion/deletion of some other temporal data. Thus, the temporal rules establish a \temporal link" between the data, either via a proc...

The paper is concerned with the effective and efficient processing of temporal selection queries in Video Database and generally Temporal Database Management Systems (TDBMS). Based on both general spatio-temporal retrieval framework ([3]) and recent versions of internal-external Priority Search Trees, we present an optimal in time and space algorithm for the problem that answers certain tempora...

Real-time database systems, such as military command, control and communication, avionics, radar tracking, and managing automated factories, have timing constraints and temporal consistency constraints. The timing constraint requires a transaction to be completed by a specified deadline. The temporal consistency constraints require that data read by a transaction be up-to-date. In such environm...

Time is a very important dimension of any aspect in human life, affecting also information and information management. As such, time must be dealt with in a suitable way, considering all its facets. The related literature already considered temporal information management from a pure database point of view: temporal aspects (also known as temporalities) of stored information cannot be neglected...

In real life, media information has time attributes either implicitly or explicitly known as temporal data. This paper investigates the usefulness of applying Bayesian classification to an interval encoded temporal database with prioritized items. The proposed method performs temporal mining by encoding the database with weighted items which prioritizes the items according to their importance f...

Spatio-temporal databases have been the focus of considerable research activity over a significant period. However, there are as of yet very few prototypes of complete systems, far less products that provide effective support for applications tracking changes to spatial and aspatial data over time. We contend that this is because much of the activity in spatio-temporal databases has focused on ...

This paper introduces a temporal relational algebra as a query language for temporal deductive databases, i.e., Temporal Datalog programs. In Temporal Datalog programs, temporal relationships among data are formalized through temporal operators, not by an explicit reference to time. The minimum model of a given Temporal Datalog program is regarded as the temporal database the program models int...

In this paper we evaluate a model for temporal data utilizing the benefits of object-relational database systems (ORDBS). In particular we show how attribute timestamping can be efficiently implemented in state-of-theart ORDBS. The attribute timestamping concept is based on introducing user-specific types for temporal versions of datatypes. Moreover on the physical level we make use of user-def...

Most existing natural language interfaces to databases (Nlidbs) were designed to be used with “snapshot” database systems, that provide very limited facilities for manipulating time-dependent data. Consequently, most Nlidbs also provide very limited support for the notion of time. In particular, they were designed to answer questions that refer mainly to the present, and do not support adequate...

Advances in wireless transmission and mobile technology applied to LBS (Location-based Services) flood us with amounts of moving objects data. Vast amounts of gathered data from position sensors of mobile phones, PDAs, or vehicles hide interesting and valuable knowledge and describe the behavior of moving objects. The correlation between temporal moving patterns of moving objects and geo-featur...