This paper presents a logical model for an active object oriented dntahaae. The main idea is to use standard concepts of OODB such aa encapsulation and inheritance, In particular triggers are special met,hods encapsulated in the appropriate object. The execution model uses nested transactions. The model is shown to he flexihle and to generalize previous proposals,

An active DBMS is expected to support concurrent as well as sequential rule execution in an efficient manner. Nested transaction model is a suitable tool to implement rule execution as it can handle nested rule firing and concurrent rule execution well. In this paper, we describe a concurrent rule execution model based on parallel nested transactions. We discuss implementation details of how th...

Active learning has been extensively studied and shown to be useful in solving real problems. The typical setting of traditional active learning methods is querying labels from an oracle. This is only possible if an expert exists, which may not be the case in many real world applications. In this paper, we focus on designing easier questions that can be answered by a non-expert. These questions...

This paper presents an active rule language for the ROCK & ROLL deductive object-oriented database system. A characteristic feature of ROCK & ROLL is that it blends imperative and deductive programming styles so that both can be used together in support of passive database applications. The aim in developing an active extension is to allow declarative expression of aspects of active behaviour w...

Most current geographic information systems assume and present the static world. But, new generations of GIS applications have much more demands in comparison to possibilities, which could provide traditional database management systems. Information that exists in the spatial database may be updated over time. Also, the very important demand is time capability to answer to state changing in dat...

Recent years have seen the increasing development of knowledge discovery or database mining systems that combine database management technology with machine learning techniques and algorithms to perform the analysis of data. Many of these systems use passive database management .systems to hold the data rather than active databases. However, applications such as battlemanagement situations or s...

Active databases have been traditionally used as an alternative to implement persistent data requirements of applications on several knowledge domains. Their principle is the activation of tasks with specific functionalities as a response to events. These reactive abilities are generally expressed with active rules defined within the database itself. We investigate the use of data flowbased tes...

The architecture of an active DBMS determines both its functionality and the components that are required for its implementation. This chapter addresses rst some issues that have an impact on the architecture of an active database system, and presents the various architectural alternatives. The basic functions of an ADBMS are identiied and then related to the architectural alternatives. This ch...