This paper is intended to facilitate the development and evaluation of temporal database models by presenting semantic benchmarks with a large time component. It presents several temporal queries drawn from three application areas, and the results of some of these queries on the example relation instances. The schemas used in this paper are not based on any particular model but can be translate...

A temporal database is a collection of transactions, ordered by their timestamps. Discovering periodic patterns in temporal databases has numerous applications. However, to the best of our knowledge, no work has considered mining periodic patterns in temporal databases where items have dissimilar support and periodicity, despite that this type of data is very common in real-life. Discovering pe...

The input data of the corporate data warehouse is provided by the data sources, that are integrated. In the temporal database research area, a bitemporal database is a database supporting valid time and transaction time. Valid time is the time when the fact is true in the modeled reality, while transaction time is the time when the fact is stored in the database. Defining a data warehouse as a ...

A significant property of temporal data is their richness of semantics. Although several temporal data models and query languages have been designed specifically to handle the temporal data, users must still deal with much of the implicit temporal information, which can be automatically derived from the stored data in certain situations. We propose a multidatabase architecture where an appropri...

Query and interpretation of time-oriented medical data involves two subtasks: Temporal-reasoning--intelligent analysis of time-oriented data, and temporal-maintenance--effective storage, query, and retrieval of these data. Integration of these tasks into one system, known as temporal-mediator, has been proven to be beneficial to biomedical applications such as monitoring, therapy, quality asses...

This paper proposes a first-order logic axiomatic description of some basic ontological notions underlying the meaning of different types of temporal constraints about repeated events. The paper also shows that such an ontology provides an homogeneous framework that can be used to model and compare the intended meaning of different formalisms in the artificial intelligence and temporal database...

Time has been a focus of study in AI since its beginning. A significant percentage of papers presented at major conferences, such as the National Conference on AI (a.k.a. AAAI) and the International Joint Conference on AI, are concerned either directly or indirectly with time. The topic is studied under many guises. Some of the more obvious are: planning and reasoning about action, scheduling, ...

For the conventional relational model there has been considerable research in the area of incomplete information. On the other hand, research in temporal databases has concentrated on models in which complete historical information is needed. However, the likelihood of missing information in temporal databases is greater because of the vast amount of information. Hence, a mechanism must be prov...

Temporal data explicitly stored in a temporal database are often associated with certain semantic assumptions. Each assumption can be viewed as a way of deriving implicit information from the explicitly stored data. Rather than leaving the task of deriving (possibly in nite) implicit data to application programs, as is the case currently, it is desirable that this be handled by the database man...

Managerial decision-making processes often involve data of the time nature and need to understand complex temporal associations among events. Extending classical association rule mining approaches in consideration of time in order to obtain temporal information/knowledge is deemed important for decision support, which is nowadays one of the key issues in business intelligence. This paper presen...