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Conceptual Modeling for Advanced Application Domains - ER 2004 Workshops CoMoGIS, CoMWIM, ECDM, CoMoA, DGOV, and eCOMO,... Conceptual Modeling for Advanced Application Domains - ER 2004 Workshops CoMoGIS, CoMWIM, ECDM, CoMoA, DGOV, and eCOMO, Shanghai, China, November 8-12, 2004. Proceedings (Paperback, 2004 ed.)
Shan Wang, Katsumi Tanaka, Shuigeng Zhou, Tok Wang Ling, Jihong Guan, …
R2,967 Discovery Miles 29 670 Ships in 18 - 22 working days

We would like to welcome you to the proceedings of the workshops held in conjunction with the 23rd International Conference on Conceptual Modeling (ER 2004). The objective of the workshops associated with ER 2004 was to give p- ticipants the opportunity to present and discuss emerging hot topics related to conceptual modeling, thereby adding new perspectives to conceptual mod- ing. To meet the objective, we selected six workshops with topics on conceptual modelingforWebinformationintegration, digitalgovernment, GIS, changem- agement, e-business, and agent technology. Some of these workshopswere brand new while others had been held in conjunction with ER conferences as many as ?ve times. They are: 1. 1stInternationalWorkshoponConceptualModel-DirectedWebInformation Integration and Mining (CoMWIM 2004) 2. 1st International Workshop on Digital Government: Systems and Techno- gies (DGOV 2004) 3. 1st International Workshop on Conceptual Modeling for GIS (CoMoGIS 2004) 4. 3rd International Workshop on Evolution and Change in Data Management (ECDM 2004) 5. 1st International Workshop on Conceptual Modelling for Agents (CoMoA 2004) 6. 5th International Workshop on Conceptual Modeling Approaches for E-Business (The Model-Driven Design Value Proposition) (eCOMO 2004) These six workshops received 38, 16, 58, 21, 17, and 13 papers, respectively. Following the philosophy of the ER workshops, the selection of contributions was very carefully carried out in order to keep the excellent standard; 13, 6, 16, 8, 7, and 6 papers were accepted by the six workshops, respectively, with acceptance rates 34%, 37%, 27%, 38%, 41%, and 46%, respective

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