Titlebook: Conceptual Modeling; 31st International C Paolo Atzeni,David Cheung,Sudha Ram Conference proceedings 2012 Springer-Verlag Berlin Heidelberg

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书目名称Conceptual Modeling影响因子(影响力)




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书目名称Conceptual Modeling网络公开度




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书目名称Conceptual Modeling被引频次




书目名称Conceptual Modeling被引频次学科排名




书目名称Conceptual Modeling年度引用




书目名称Conceptual Modeling年度引用学科排名




书目名称Conceptual Modeling读者反馈




书目名称Conceptual Modeling读者反馈学科排名

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Understanding Understandability of Conceptual Models – What Are We Actually Talking about?s regarded one of the most important model quality goals and criteria. A considerable amount of empirical studies, especially experiments, have been conducted in order to investigate factors influencing the understandability of conceptual models. However, a thorough review and reconstruction of 42 e

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Rules from Cognition for Conceptual Modelling Conceptual Modelling. Several authors have developed hypotheses to give modellers a hint how to improve their models. Although much effort has been made, researchers and practitioners cannot easily apply or broaden these hypotheses. Yet, they are forced to spend a lot of review work, as a comprehen

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Using Domain Ontologies as Semantic Dimensions in Data Warehouseses how such semantic attributes together with their referenced domain ontology can be best exploited for data analysis in data warehouses. This gives rise to two challenges: first, exploit the rich knowledge represented in domain ontologies for targeted analysis and, second, aggregate data along the

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Sliced Column-Store (SCS): Ontological Foundations and Practical Implicationse of column-store approaches as a solution for such databases has become quite popular. The main idea behind the column-store approach is reducing I/O requirements through vertical partitioning of data in which only those attributes that are required to answer a query are read. This paper offers two

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Schema Decryption for Large Extract-Transform-Load Systemsworkflows populate those systems with data from various data sources by specifying and executing a DAG of transformations. Over time, hundreds of individual workflows evolve as new sources and new requirements are integrated into the system. The maintenance and evolution of large-scale . systems req

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