Most existing natural language database interfaces (nldbs) were designed to be used with database systems that provide very limited facilities for manipulating time-dependent data, and they do not support adequately temporal linguistic mechanisms (verb tenses, temporal adverbials, temporal subordinate clauses, etc.). The database community is becoming increasingly interested in temporal databas...

Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that describes measurements over a period of time in history while the predicted class is expected to occur in the future. We describe a new temporal classification method that improves the accuracy of standard classification me...

We propose a method for integrity checking in the context of temporal deductive databases. A temporal deductive database is a deductive database that supports some aspect of time, in our case valid time, in which valid time is the time when the fact is true in the modelled reality. Our method augments a database with a set of transition and event rules, which explicitly define the insertions an...

In this paper, we present a multi-temporal RDF database model employing triple timestamping with temporal elements, which best preserves in the multi-temporal setting the scalability property enjoyed by triple storage technologies. The data model is equipped with manipulation operations which allow knowledge engineers to maintain a multi-temporal RDF database in order to manage temporal version...

Abrtract Current databarer do not proceu temporal information well. Databarer containing hirtorieal information (history databaser) have been proposed to provide more temporal capability by appending new data to relationr in&cad of deetructivaly updating them. Becauee hirtory databuee do not dircard data, they cannot diecard outdated database achemae. Thus, in any propoeal for a practical hiito...

The problem of frequent pattern mining from non-temporal databases is studied extensively by various researchers working in areas of data mining, temporal databases and information retrieval. However, Conventional frequent pattern algorithms are not suitable to find similar temporal association patterns from temporal databases. A Temporal database is a database which can store past, present and...

There is an increasing demand for applications about moving objects (e. g. , humans, animals, cars, ...). The best way to develop robust and efficient software solutions consists in putting them on top of a spatio-temporal database storing the trajectories of the moving objects. Unfortunately, the DataBase Management Systems today part of the companies' assets do not support this complex d...

The present paper explores the possibility of modeling of uncertainty through temporal databases. Considering limitations of relational model and technological progress, temporal databases emerged. Adding to it, the uncertainty aspect for imitating human like thinking. Temporal models are discussed, leading to proposed conceptual temporal database framework.

The temporal aggregation in temporal databases is an extension of the conventional aggregation including the time as a range condition of the aggregation. In this paper, we propose a new tree based structure for the temporal aggregation, called the CTA-tree. In the CTA-tree, we transform the time interval of a temporal data record into a value, called the T-value, using the Corner transformatio...

Time related concepts appear in both temporal databases and real-time databases. In this position paper, we show that with minor changes to the recently compiled basic concepts of temporal databases, it is possible to cover the conceptual needs of real-time databases as well. We also discuss practical implementation-oriented issues that arise when real-time databases are married to temporal dat...