By Matthias Brantner (auth.), Janis Grundspenkis, Tadeusz Morzy, Gottfried Vossen (eds.)
This booklet constitutes the refereed lawsuits of the thirteenth East eu convention on Advances in Databases and data platforms, ADBIS 2009, held in Riga, Latvia, on September 7-10, 2009.
The 25 revised papers have been rigorously reviewed and chosen from ninety three submissions. Topically, the papers span a large spectrum of the database and data method. themes are starting from question processing and optimization through question languages, layout equipment, facts integration, indexing and caching to enterprise strategies, information mining, and alertness orientated subject matters like XML and knowledge at the Web.
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Additional resources for Advances in Databases and Information Systems: 13th East European Conference, ADBIS 2009, Riga, Latvia, September 7-10, 2009. Proceedings
24 M. Boukhebouze et al. In following we detail how the exceptions handling can manage live-lock exception. Indeed, as we saw previously, due to lack of data state in the modeling phase, this exceptions recognition cannot determine the finite nature of a circuit of a cause/effect sub-graph. To this end, all the rules of each circuit will be marked by adding check-points to its codes in order to enable the monitoring of this circuit in the execution phase. However, to optimize the addition of these markers, two checkpoints are added by circuit: the first is added to the action of the starting rule circuit.
Fig. 6. Rule models and languages at different levels of abstraction  26 M. Boukhebouze et al. Finally, the execution rule models is proposed in order to formalize the execution of the rules set as ILOG JRules. However, these execution rule models do not allow having an explicit execution scenario. As a result a more powerful paradigm is deemed appropriate in order to translate, in an easy way, a business process into a formal model and ensure the process verification allowing to building an execution scenario in an automatic way.
Team consists of employees from different departments which execute different tasks. Thus the team task execution reduces the time of coordination and control between different departments. The team members receive knowledge and activities and send data about the fulfillment of activities. Functional specialists are replaced with process executers during changes in the human resources. As a result, new users of IS require the data. Data quality improves and new data and knowledge are created to support changes in BP activities.