Most information management scenarios today rarely have a situation in which all the data that needs to be man-aged can t nicely into a single management system, such as a relational database or a knowledge base. Instead, we need to manage a set of loosely connected data sources, and typically face the following recurring challenges: Users want be able to search the entire collection without having knowledge of individual sources. In some cases, they merely want to know where the information exists as a starting point to further exploration. An organization may want to enforce certain rules, in-tegrity constraints, or conventions (e.g., on naming enti-ties) across the entire collection, or track ow and lineage between systems. Furthermore...
Today, important information is scattered in so many places, formats, and media, that getting the ri...
Abstract: This paper introduces the concept and characters of dataspace, and presents a framework f...
In the last decade, social network analytics and related data analysis methodologies have helped big...
Due to the increasing importance of data for organizations, the idea of sharing data has become vita...
Taking a look at some huge or little associations or investments, overseeing the collection of infor...
The vision of dataspaces is to provide various of the benefits of classical data integration, but wi...
Nowadays there is rarely a scenario where all the data can be fit nicely into one relational databas...
The shift from the production society to the information society is commonly agreed. Today's challen...
Thesis Submitted in total fulfillment of the requirements for the degree of Doctor of Philosophy in...
A large amount of data is generated in today’s digitised world, but we cannot take full advantage of...
Published in International Journal of Computer and Information Technology.This paper presents a surv...
In this chapter we investigate the crucial problem that poses the bases to the concept of dataspaces...
Data spaces represent a paradigm shift: In the traditional understanding data sharing takes place be...
Loosely structured heterogeneous information spaces are typ-ically created by merging data from a va...
International audienceOrganizations look for information coming from many heterogeneous resources, w...
Today, important information is scattered in so many places, formats, and media, that getting the ri...
Abstract: This paper introduces the concept and characters of dataspace, and presents a framework f...
In the last decade, social network analytics and related data analysis methodologies have helped big...
Due to the increasing importance of data for organizations, the idea of sharing data has become vita...
Taking a look at some huge or little associations or investments, overseeing the collection of infor...
The vision of dataspaces is to provide various of the benefits of classical data integration, but wi...
Nowadays there is rarely a scenario where all the data can be fit nicely into one relational databas...
The shift from the production society to the information society is commonly agreed. Today's challen...
Thesis Submitted in total fulfillment of the requirements for the degree of Doctor of Philosophy in...
A large amount of data is generated in today’s digitised world, but we cannot take full advantage of...
Published in International Journal of Computer and Information Technology.This paper presents a surv...
In this chapter we investigate the crucial problem that poses the bases to the concept of dataspaces...
Data spaces represent a paradigm shift: In the traditional understanding data sharing takes place be...
Loosely structured heterogeneous information spaces are typ-ically created by merging data from a va...
International audienceOrganizations look for information coming from many heterogeneous resources, w...
Today, important information is scattered in so many places, formats, and media, that getting the ri...
Abstract: This paper introduces the concept and characters of dataspace, and presents a framework f...
In the last decade, social network analytics and related data analysis methodologies have helped big...