Conceptual Modeling – ER 2010: 29th International Conference by Sergey Smirnov, Remco Dijkman, Jan Mendling, Mathias Weske

By Sergey Smirnov, Remco Dijkman, Jan Mendling, Mathias Weske (auth.), Jeffrey Parsons, Motoshi Saeki, Peretz Shoval, Carson Woo, Yair Wand (eds.)

th This booklet includes the court cases of the 29 overseas convention on Conceptual Modeling (ER 2010), which was once held this 12 months in Vancouver, British Columbia, Canada. Conceptual modeling could be regarded as mendacity on the confluence of the 3 major features of data expertise purposes –– the area of the stakeholders and clients, the area of the builders, and the applied sciences on hand to them. C- ceptual versions supply abstractions of varied facets relating to the improvement of structures, akin to the applying area, consumer wishes, database layout, and software program necessities. those types are used to research and outline person wishes and approach requisites, to help communications among stakeholders and builders, to supply the root for structures layout, and to rfile the necessities for and the layout intent of constructed platforms. as a result of their function on the junction of utilization, improvement, and expertise, c- ceptual versions could be vitally important to the winning improvement and deployment of IT purposes. for this reason, the examine and improvement of equipment, suggestions, instruments and languages that may be utilized in the method of making, holding, and utilizing conceptual types is of significant useful and theoretical significance. Such paintings is c- ducted in academia, examine associations, and undefined. Conceptual modeling is now utilized in nearly all components of IT purposes, and spans assorted domain names similar to organizational details platforms, structures that come with really good info for spatial, temporal, and multimedia purposes, and biomedical applications.

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The extract process accumulates the business events and periodically (as per the freshness requirement), releases a batch data object to the fact flow. In our model, data objects are modeled as hypercubes. This is a familiar paradigm for business users. In addition, operations over hypercubes are readily translated to relational algebra operators [1] so this facilitates translating the conceptual model to the logical model. The fact flow performs the bulk of the work. It uses the raw business event data collected by the extract process and transforms it to the warehouse view.

2 exploits the supports relation in the notion of variant. A variant is essentially a collection of goals, commitments, and capabilities that are necessary to support the agent’s target goals (Definition 4 formalizes this notion). Adaptation in Open Systems: Giving Interaction Its Rightful Place 35 Table 1. Taxonomy of adaptation trigger types Type Description Capability threat Commitment threat Capability opportunity Social opportunity Commitment violation Capability failure Quality violation The capability (plan) for an active goal is undermined The fulfillment of a commitment from another agent is at risk An alternative capability has become more useful to exploit A new agent is discovered with whom it is better to interact A commitment from another agent is broken (timeout or cancellation) A capability was executed but failed An internal quality threshold is not met by the agent 3 Motivating Examples We discuss examples of agent adaptation in a firefighting scenario.

This pattern reflects the extraction of data from a data source to staging tables where the slice divides the source data into two domains. , for high freshness. See [6] for other examples. The language technique is declarative and it exploits annotation information from the conceptual design. It can be used for example in cases like: the sales tax table lookup task in dailyRevFact could be implemented in one of several ways depending on the size of the lookup table, the resources available or the performance requirements.

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