ECDM

ECDM (Evolution and Change in Data Management) Track

Change is a fundamental but sometimes neglected aspect of information and database systems. The management of evolution and change and the ability for database, information and knowledge-based systems to deal with change is an essential component in developing and maintaining truly useful systems that minimize service disruption and down time and maximize availability of data and applications. Many approaches to handling evolution and change have been proposed in various areas of data management and this forum seeks to bring together researchers and practitioners from both more established areas and those from emerging areas to look at this issue. This year ECDM is jointly held with NoCoDA 2012 (the first five ECDM workshops were held with ER’99 in Paris, France, with ER’02 in Tampere, Finland, with ER’04 in Shanghai, China, with ER’06 in Tucson, Arizona and with ER’08 in Barcelona, Spain) and will deal with the manner in which change can be handled, and the semantics of evolving data, metadata and their structure in computer based systems.

An explicit aim of ECDM is to bring together scientists and practitioners interested in evolution and change aspects in different research fields and, thus, often belonging to completely separate communities. Such an interaction could be tighter and cross-fertilization more useful in the context of a collaborative workshop than in the context of the ER main conference or of conferences with a narrower scope (e.g. dealing with temporal databases or with XML versioning or with ontology evolution)

Topics of interest

Addressing the above challenges requires understanding the conceptual and formal aspects of managing the evolution of data as well as the practical aspects of its application in real-world scenarios. Relevant topics of the proposed workshop include, but are not limited to, the following:

  • Semantics of Change in Time and Space
  • Modelling and Management of Time-Varying Data, Temporal and Spatio-temporal Databases
  • Handling Changes and Versioning of Semi-structured Data, Temporal XML
  • Managing Information System Upgrades and Schema Changes
  • Handling Changes of Metadata, Schema Evolution and Versioning
  • Change Detection, Monitoring and Mining
  • Mining Evolving, Temporal and Spatio-temporal Data
  • Evolution and Change in Web Information Systems
  • Evolution and Change in e-World Systems (e-Commerce, e-Government, e-Science, e-Health…)
  • Induction of Cause and Effect, Logics for Evolution
  • Maintenance of Views, Summaries, Dictionaries and Warehouses
  • Managing Evolution of Sources in Information Integration
  • Evolution and Versioning of Ontologies
  • Time and Change in Semantic Web

Program Committee