Conceptual data model

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  • Acquiring information systems specifications from natural language description is presented as a problem class that requires a different treatment of semantics when compared with other applied NL systems such as database and operating system interfaces. Within this problem class, the specific task of obtaining explicit conceptual data models from natural language text or dialogue is being investigated. The knowledge brought to bear on this task is classified into syntactic, semantic and systems analysis knowledge.

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  • In chapter 3, we follow the traditional approach of concentrating on the database structures and constraints during conceptual database design. The design of application programs is typically covered in software engineering courses. this chapter also present the modeling concepts of the Entity-Relationship (ER) model, which is a popular high-level conceptual data model.

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  • Power Designer là 1 công cụ thiết kế CSDL. Với Power Designer bạn có thể : Thiết kế Conceptual Data model (CDM) bằng sơ đồ thực thể kết hợp Phát sinh Physical Data Model (PDM) tương ứng trên một DBMS được chọn. Phát sinh kích bản tạo CSDL trên một DBMS đích. Phát sinh ràng buột toàn vẹn tham chiếu (referential integrity triggers) nếu chúng được hổ trợ bởi CSDL đích. Cho phép hiệu chỉnh và in các model.

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  • Contents at a Glance Introduction Part 1: Introduction to Analysis Services 1 Introduction to OLAP and Its Role in Business Intelligence 2 Multidimensional Space 3 Client/Server Architecture and Multidimensional Databases: An Overview Part 2: Creating Multidimensional Models 4 Conceptual Data Model 5 Dimensions in the Conceptual Model 6 Cubes and Multidimensional Analysis

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  • .Advance Praise for Pricing, Risk, and Performance Measurement in Practice “The book represents a fresh and innovative departure from ‘traditional’ approaches to modelling of securities data. Subsequently, it also presents much more flexible ways to analyze and process the data. Even if you are not involved with re-architecting an organization’s master data handling, there are numerous ideas, principles, and nuggets that make it a worthwhile read.” –Dr.

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  • CHAPTER 3 ■ THE ENTITY DATA MODEL INSIDE AND OUT The Designer is the tool that allows you to work with the EDM and provides the functionality developers need to create, modify, and update the EDM. The Designer consists of several components to assist you in designing and editing your conceptual model. Figure 3-2 shows the different components, including the following: • • • • Designer surface: A visual surface for creating and modifying the conceptual model. Mapping Details window: The location where mappings are created or modified. The window is discussed later in the chapter.

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  • Temporal Databases presents about What is temporal DB? Applications of temporal db; valid time temporal data model; time normalization; temporal query language; conceptual design and logical design and somethings else.

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  • In chapter 3, we follow the traditional approach of concentrating on the database structures and constraints during conceptual database design. The design of application programs is typically covered in software engineering courses. this chapter also present the modeling concepts of the Entity-Relationship (ER) model, which is a popular high-level conceptual data model.

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  • Chapter 13 - Database design for student loan limited. This chapter applies the specific development techniques of other chapters to a moderatesize case. By carefully following the case and its solution, you should reinforce your design skills, gain insights about the database development process, and obtain a model for database development of comparable cases.

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  • Mô hình ER được dùng để xây dựng mô hình dữ liệu ý niệm (Conceptual data modeling) nhằm biểu diễn cấu trúc và các ràng buộc của CSDL. Mô hình ER như một công cụ để trao đổi ý tưởng giữa nhà thiết kế và người dùng cuối trong giai đoạn phân tích. Nó độc lập với DBMS và quá trình thi công database.

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  • In July 2008 Microsoft released the first version of the ADO.NET Entity Framework as part of the Visual Studio 2008 Service Pack 1 as well as the .NET Framework 3.5 Service Pack 1. At the time, Microsoft LINQ (Language Integrated Query) and LINQ to SQL had been out for a while and were gaining a lot of attention.

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  • Microsoft’s ADO.NET Entity Framework, known widely as EF, introduced out-of-thebox Object Relational Mapping to .NET and Visual Studio. Central to Entity Framework was the Entity Data Model, a conceptual model of your application domain that maps back to the schema of your database. This conceptual model describes the core classes in your application. Entity Framework uses this conceptual model while querying from the database, creating objects from that data and then persisting changes back to the database....

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  • Mô hình quan hệ – thực thể ER (Entity Relationship Model – ER Model) được dùng để thiết kế CSDL ở mức khái niệm (Conceptual data modeling) Biểu diễn trừu tượng cấu trúc của CSDL Mô hình ER như 1 công cụ để trao đổi ý tưởng giữa nhà thiết kế và người dùng cuối trong giai đoạn phân tích. Nó độc lập với DBMS và quá trình hiện thực database. 4 .

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  • Power Designer là 1 công cụ thiết kế CSD. Với Power Designer bạn có thể: Thiết kế Conceptual Data model bằng so đồ thực thể kết hợp

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  • Modeling Hydrologic Change: Statistical Methods is about modeling systems where change has affected data that will be used to calibrate and test models of the systems and where models will be used to forecast system responses after change occurs. The focus is not on the hydrology. Instead, hydrology serves as the discipline from which the applications are drawn to illustrate the principles of modeling and the detection of change. All four elements of the modeling process are discussed: conceptualization, formulation, calibration, and verification.

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  • This module provides an in-depth discussion of logical data design. Students examine the relationship of logical data design to conceptual design. Logical entities, their attributes, and the relationships among them are extensively examined. Finally, students learn how to create a logical data model from entities, attributes, and relationships.

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  • Hiểu các khái niệm trong việc mô hình hóa dữ liệu ở mức quan niệm: mô hình quan niệm dữ liệu (conceptual data model), mô hình thực thể - mối kết hợp (entity-relationship diagram), loại thực thể (entity type),

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  • A framework for reference use in human communication is introduced in Section 1, in order to give a coherent and general view of the phenomenon. Consequences for a resolution mechanism are then examined: data structures, operations, selectional constraints and activation. This approach is then compared to others in Section 2. Section 3 describes briefly the implementation of the model, the texts and the scoring methods. Results are given in Section 4, to corroborate the previous assertions and justify the model. ...

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  • Media monitoring and response to erroneous statements: National statistical agencies may wish to establish a system to monitor the news media which serve them regularly. This is fundamental to measuring how extensively the media have covered the releases of new statistical information, and how accurately the information has been reported. In instances where journalists misinterpret or erroneously report the data, it can benefit the national statistical organization to request a correction in the media, either informally or formally.

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  • We investigate the problem of domain adaptation for parallel data in Statistical Machine Translation (SMT). While techniques for domain adaptation of monolingual data can be borrowed for parallel data, we explore conceptual differences between translation model and language model domain adaptation and their effect on performance, such as the fact that translation models typically consist of several features that have different characteristics and can be optimized separately.

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