Support for temporal text-containment queries (query for all versions of documents that contained one or more particular words at a particular time t) is of interest in a number of contexts, including web archives, in a smaller scale temporal XML/web warehouses, and temporal document database systems in general. In the V2 temporal document database system we employ a combination of full-text in...

The cloud environment is currently expanding rapidly, from its uses by individuals on standard computer devices to the mobile arena. Service providers for cloud computing are mutually exclusive, but their practices and protocols tend to influence each other, and this is referred to as a hybrid cloud environment. There are many of the types of services, software, and resources used and operated ...

With rapidly decreasing storage costs temporal document databases is now a viable solution in many contexts. However, storing an ever growing database can still be too costly, and as a consequence it is desirable to be able to physically delete old versions. Traditionally, this has been performed by an operation called vacuuming, where the oldest versions are physically deleted (or migrated fro...

The aim of the paper is to describe the information retrieval model which retrieves information from text documents in natural language by neural networks. This model comes from the linguistic and conceptual approach for the analysis of text documents. The neural network model accepts the structure of conceptual, lingvistic oriented model, where the problem of document database creation and doc...

Storing structured documents in object-oriented databases and fragmenting them according to their logical structure gives way to more expressive querying mechanisms, as compared to conventional document-management systems. At a rst stage, however, such an approach does not come out too good with regard to the performance of certain other basic operations. Thus, our database-application framewor...

Rapid advances in high-throughput sequencing techniques have created interesting computational challenges in bioinformatics. One of them refers to management of massive amounts of data generated by automatic sequencers. We need to deal with the persistency of genomic data, particularly storing and analyzing these large-scale processed data. To find an alternative to the frequently considered re...

Storing structured documents in object-oriented databases and fragmenting them according to their logical structure gives way to more expressive querying mechanisms, as compared to conventional document-management systems. At a rst stage, however, such an approach does not come out too good with regard to the performance of certain other basic operations. Thus, our database-application framewor...

Groupware applications used in distributed office environments are characterized by several users accessing and manipulating a shared document pool in a collaborative context. Supporting such application with relational database persistence and object technology requires two main features: (1) a sound and generic mapping from the object-oriented application schema to the relational data model, ...

Groupware applications used in distributed office environments are characterized by several users accessing and manipulating a shared document pool in a collaborative context. Supporting such application with relational database persistence and object technology requires two main features: (1) a sound and generic mapping from the object-oriented application schema to the relational data model, ...

Analyzing textual data is a very challenging task because of the huge volume of data generated daily. Fundamental issues in text analysis include the lack of structure in document datasets, the need for various preprocessing steps and performance and scaling issues. Existing text analysis architectures partly solve these issues, providing restrictive data schemas, addressing only one aspect of ...