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Schema design

The different dialects of XML (XHTML, KML) are constrained by XML schemas (W3C, 2004). These schemas are critical to the success of XML. They are used to ensure that an XML file adheres to a well-defined structure. Schemas are themselves XML files, which must conform to the XSD specification. Schema designers are free to develop constraints to varying degrees. Forcing an XML file to be compatible with a tightly-constrained schema frees developers from having to write their own data validation procedures. This leads to a great simplification of data manipulation software. [Pg.391]

Figure 9.16. Star schema design of a chemical data warehouse. The central source table allows access to the Extemal-IDof every molecule, arranged by source database. These External-ID values can be used to build multidimensional views of the data. For example, to see all the reactions with products that can be found in source database ACD, one would combine data from the source dictionary table (Source ID for database ACD), the reactions table (StructJD, and Role), and moltable (Struct ID) table, using identifiers (Extemal-ID)from the central source table. Figure 9.16. Star schema design of a chemical data warehouse. The central source table allows access to the Extemal-IDof every molecule, arranged by source database. These External-ID values can be used to build multidimensional views of the data. For example, to see all the reactions with products that can be found in source database ACD, one would combine data from the source dictionary table (Source ID for database ACD), the reactions table (StructJD, and Role), and moltable (Struct ID) table, using identifiers (Extemal-ID)from the central source table.
Thti main body of this nioLiorvary, conprisinu tho alphabetical ontsios, is designed to compress a large amount of useful information into a small sp oe, and towards this end each entry follows a schema designed to classify and explain the individual sigils. [Pg.15]

The data relationships provide the structure for the schema design and we look at this in detail. As a general rule data relationship can be one to one, one to many, or many to many [1]. The complexity increases as we move away from one to one to many to many, and the latter is often the case in manufaeturing as illustrated by the hierarchy of information shown in Figure 3.2. [Pg.32]

Starting at the top, the assembly data object has one-to-many type of relationship with the part data object, whilst part object has one-to-one type of relationship with the assembly object. This determines the schema for the assembly objeet and bill of materials (BOM) is an example of it. The part object has one-to-one type of relationship with the task sequence object and it is the same viee versa. In practical terms this means that there is always a unique sequenee of tasks to manufacture the part dictated by the material and volume involved. The task sequence object has one-to-many type of relationship with the task object and the task object has a one-to-one type of relationship with the task sequence. This means that a task sequence often contains many different types of tasks. Finally, the task object has one-to-many type of relationship with the material object and equipment object, whilst the material and the equipment objects have a one-to-one type of relationship with the task object In practical terms this means that a task often utihses many different types of materials and equipment to make the parts. The determination of these relationships together with the object attributes lead us to the schema design that can hold all the information required for the manufacturing process design. The data relationships model of Fig. 3.2 integrates the key variables involved and their interactions... [Pg.32]

Fig. 9.3 The conceptual schema of micro-macro thinking for the task designing gluten-free com bread, with the explicit use of structure-property relations... Fig. 9.3 The conceptual schema of micro-macro thinking for the task designing gluten-free com bread, with the explicit use of structure-property relations...
Fig. 9.4 Conceptual schema of the design of a bullet-proof jacket derived from the experts consultation. An example of a structure-property relation is marked as a line... Fig. 9.4 Conceptual schema of the design of a bullet-proof jacket derived from the experts consultation. An example of a structure-property relation is marked as a line...
The new conceptual schemas derived in the first part of this chapter could thus be used to design context-based units by a design research approach (Van den Akker,... [Pg.206]

Fig. 1.26. Instrument DSC 2920 with DTA-measuring cell. This installation is not designed for low temperatures, but can be modified for this purpose. (Commercial standard installations for low temperatures have not been found by the author.) (Schema and photograph TA Instruments, Inc. New Castle DE 19720, USA.)... Fig. 1.26. Instrument DSC 2920 with DTA-measuring cell. This installation is not designed for low temperatures, but can be modified for this purpose. (Commercial standard installations for low temperatures have not been found by the author.) (Schema and photograph TA Instruments, Inc. New Castle DE 19720, USA.)...
Fig. 2.28. Schema of a vacuum pump set, designed for a production freeze drying plant. Fig. 2.28. Schema of a vacuum pump set, designed for a production freeze drying plant.
Halpin, T. 1995. Conceptual Schema and Relational Database Design. 2nd edition. Prentice Hall, 547p. [Pg.392]

Compared to the continuous annular chromatography systems sold by Isopro International and used throughout the ORNL studies, the P-CAC units developed by Prior Separation Technology feature several design modifications which will be presented hereafter. As can be seen from Fig. 3, the P-CAC system consist of three major parts the P-CAC head, the annular column, and the drive including the control panel. Figure 3 represents a schema of the laboratory sized P-CAC used as a Research and Development tool. [Pg.237]

Capsaicinoids are synthesized by the condensation of vanillylamine with a short chain branched fatty acyl CoA. A schematic of this pathway is presented in Fig. 8.4. Evidence to support this pathway includes radiotracer studies, determination of enzyme activities, and the abundance of intermediates as a function of fruit development [51, 52, 57-63], Differential expression approaches have been used to isolate cDNA forms of biosynthetic genes [64-66], As this approach worked to corroborate several steps on the pathway, Mazourek et al. [67] used Arabidopsis sequences to design primers to clone the missing steps from a cDNA library. They have expanded the schema to include the biosynthesis of the key precursors phenylalanine and leucine, valine and isoleucine. Prior to this study it was not clear how the vanillin was produced, and thus the identification of candidate transcripts on the lignin pathway for the conversion of coumarate to feruloyl-CoA and the subsequent conversion to vanillin provide key tools to further test this proposed pathway. [Pg.118]

There are a few design options for the Data Persistence Layer. Here we use the Data Mapper Pattern (Fowler, 2003b). The reason is that we want to separate the domain layer and the database schema and allow them to evolve independently. [Pg.186]

Frankie K. Wood-Black, Phillips Petroleum Among the schemas that you all notice is that the lapel microphones are designed for men in business suits with pockets. Women s attire is not necessarily conducive to business suits and pockets. We ve been seeing different solutions to this during the conference. [Pg.55]

VAX LIMS DMDB. The key to good database design is the definition of records and the set relationships between them. The VAX DMDB schema (Bachman diagram) is shown in Figure 4. The diagram shows the major records (boxes) in the database and the relationship (arrows) between the records (sets). The records and their fields are determined by the nature of the data encountered in an analytical laboratory... [Pg.34]


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General Schema Design Decisions

Schema

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