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

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

th This e-book contains the complaints of the 29 foreign convention on Conceptual Modeling (ER 2010), which was once held this 12 months in Vancouver, British Columbia, Canada. Conceptual modeling should be regarded as mendacity on the confluence of the 3 major features of knowledge expertise functions –– the realm of the stakeholders and clients, the realm of the builders, and the applied sciences to be had to them. C- ceptual versions supply abstractions of varied facets on the topic of the improvement of platforms, reminiscent of the appliance area, person wishes, database layout, and software program requisites. those versions are used to investigate and outline consumer wishes and procedure specifications, to aid communications among stakeholders and builders, to supply the foundation for platforms layout, and to record the necessities for and the layout motive of built platforms. due to their function on the junction of utilization, improvement, and expertise, c- ceptual types should be vitally important to the profitable improvement and deployment of IT purposes. accordingly, the study and improvement of tools, suggestions, instruments and languages that may be utilized in the method of constructing, conserving, and utilizing conceptual types is of significant sensible and theoretical significance. Such paintings is c- ducted in academia, study associations, and undefined. Conceptual modeling is now utilized in nearly all parts of IT functions, and spans assorted domain names corresponding to organizational info platforms, platforms that come with really good facts for spatial, temporal, and multimedia purposes, and biomedical applications.

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Extra info for Conceptual Modeling – ER 2010: 29th International Conference on Conceptual Modeling, Vancouver, BC, Canada, November 1-4, 2010. Proceedings

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Let P be a set of commitments. Commitments can be compared via a strength relation [6]. If an agent commits for something, it will also commit for something less. Also, it will commit if he gets more than expected in return. Such an intuition is captured via the transitive closure of P. Definition 1. Given a set of commitments P, P ∗ is its transitive closure with respect to the commitments strength relation [6]. Let P = {C(fireman, brigade, team assigned ∨ ambulance sent, fire fought ∧ casualties rescued)}.

Tactic 7 (Commitment chaining). (Example 7) Agent x’s commitment C(x, y, g0 , g1 ) is supported if he can get C(z, x, g2 , g1 ) from some z and if x supports g2 . Example 7. Jim wants to achieve goal tanker truck used. It makes C2 to Brigade 1 so that tanker service paid is achieved. In such a way, it can get C3 from Tanker 1. 4 Formalization We now formalize the notion of a variant. This formalization is not specific to any individual agent—it forms the common semantic substrate upon which we later build a comprehensive adaptation framework.

Example Kettle k::transformation artifacts that describe dataflow are converted to schemata for nodes. QoX in the XPDL become properties either at the flow level or the node level. However, the translation from XPDL to xLM is not mechanical. As we discussed, patterns in the XPDL are converted to specific operators. QoX objectives may affect the choice of operator or flow sequence. , those with alternative implementations) must be selected, etc. 2 Logical to Physical Models Once we have modeled ETL at the logical level, we have both: (a) an ETL graph comprising activities and data stores as vertices and provider relationships as edges, and (b) a representation of the design in XML form.

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