gs1-128 excel Demands on the Database in Software

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Demands on the Database
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Query Formulation
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The query process, possibly aided by information from a schema, has to evaluate the probability of success in following a particular path The database may be constructed using rules, representing functions, or frames, representing entities, or a combination of both It may also be pro table to provide a weight or strength measure between the frames so that concepts of being a little bit happy, being very sick, etc, can be expressed There is typically a preprocessing pass where the symbolically speci ed relationships are converted into a bound structure with chains or links During execution the branches of the network can be rapidly traversed Many experimental systems have used relatively small databases For these support of virtual memory systems has been adequate E cient tracing of linkages is possible if su cient pages can be kept available so that the workspace can be maintained without heavy paging requirements It is not yet clear how database systems can support the requirements posed by deductive inference systems using more than several thousand tuples
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10-2-4 Summary The categories of database services available can now be evaluated relative to their e ectiveness in information retrieval When desirable features occur in di erent database approaches, combinations of database methods can be considered to yield a compromise solution The relational approach, by deferring binding to the time of query execution, is the most exible However, the amount of processing required may be excessive for on-line operation with large databases When statistical inference over many tuples is part of the query process, the retrieval costs may be high in any case For deductive inference semantic rules are required to reduce the number of relationships to be explored These rules are in e ect a form of early binding Without such rules an unbound database will be very costly to explore Hierarchical structures lend themselves to rapid fact nding For statistical processing data elements will be taken only from one level at a time, so that only structures with good access to siblings support this type of information retrieval well Since a hierarchy is well de ned and bound, deductive techniques are not required or supported by this approach Networks provide fact- nding capability using complex but bound structures Statistical processing will be limited to hierarchical single level data subsets Deductive goal seeking can be carried out by navigation in a network structure The navigator may be a combination of an intelligent program which interacts with a knowledgeable user
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10-3
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QUERY FORMULATION
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Query formulation is the process performed by the user in order to communicate through the information-retrieval system with the database The design of a queryformulation language will be a ected by these three components:
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530 The users needs and background The information-retrieval system
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Information Retrieval
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The database Users may range from casual users wishing to retrieve simple facts (weather predictions, automobile tra c, etc) to specialists who spend many hours with the system and understand its capabilities and contents For the former group convenience and clarity are important; for the latter group, e ciency and availability of tools to manipulate retrieved data are of consequence There may also be intermediaries between the end users and the system: assistants who formulate queries to obtain data for decision makers, programmers who write programs to carry out more complex analyses of database contents than have been provided within the information retrieval system, people who collect data and maintain the database contents, and, nally, a database administrator, the only one who can make the trees on which the data are placed In order to support this variety of users, a variety of approaches to query formulation can be considered The availability of a schema is an important aid in the process of query formulation, as sketched in Fig 10-4 The de nition of the attributes, availability of indexes or search paths, and the partitioning e ectiveness of query arguments is best resolved before the database itself is accessed In a hierarchical structure, aggregate values in header records can also provide data to aid in the optimization of processing during query execution
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Sec 10-3
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