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Schema evolution

In computer science, schema evolution refers to the problem of evolving a database schema to adapt it to a change in the modeled reality. The problem… Expand
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Papers overview

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Highly Cited
2012
Highly Cited
2012
Supporting database schema evolution represents a long-standing challenge of practical and theoretical importance for modern… Expand
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Highly Cited
2009
Highly Cited
2009
In this paper, we introduce a family of expressive extensions of Datalog, called Datalog+/-, as a new paradigm for query… Expand
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Highly Cited
2008
Highly Cited
2008
Evolving the database that is at the core of an Information System represents a difficult maintenance problem that has only been… Expand
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Highly Cited
2008
Highly Cited
2008
Supporting graceful schema evolution represents an unsolved problem for traditional information systems that is further… Expand
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Highly Cited
2004
Highly Cited
2004
This essay explores a number of paradoxes embedded in new—commonly called postheroic—models of leadership. It argues that… Expand
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Highly Cited
2004
Highly Cited
2004
Current workflow management systems still lack support for dynamic and automatic workflow adaptations. However, this… Expand
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Highly Cited
2004
Highly Cited
2004
A schema mapping is a specification that describes how data structured under one schema (the source schema) is to be transformed… Expand
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Highly Cited
2003
Highly Cited
2003
As ontology development becomes a more ubiquitous and collaborative process, ontology versioning and evolution becomes an… Expand
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Highly Cited
2000
Highly Cited
2000
Adaptability has become one of the major research topics in the area of workflow management. Today’s workflow management systems… Expand
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Highly Cited
1998
Highly Cited
1998
Multidimensional data modeling plays a key role in the design of a data warehouse. We argue that the Entity Relationship Model is… Expand
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