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Teaching Tags > Tag based links for Schema

The following links have been tagged schema by users just like you, because these resources are off-site we cannot guarantee the accuracy or quality of any third-party information.

  1. Why is the Star Schema a Good Data Warehouse Design?: Database design for data warehouses is based on the notion of the snowflake schema and its important special case, the star schema. The snowflake schema represents a dimensional model which is composed of a central fact table and a set of constituent dimension tables which can be further broken up into subdimension tables. We formalise the concept of a snowflake schema in terms of an acyclic database schema whose join tree satisfies certain structural properties. We then define a normal form...Mark Levene, George Loizou

  2. Why is the snowflake schema a good data warehouse design: Database design for data warehouses is based on the notion of the snowflake schema and its important special case, the star schema. The snowflake schema represents a dimensional model which is composed of a central fact table and a set of constituent dimension tables which can be further broken up into subdimension tables. We formalise the concept of a snowflake schema in terms of an acyclic database schema whose join tree satisfies certain structural properties. We then define a normal form...M Levene, G Loizou

  3. The Relation between Ontologies and Schema-languag es: Translating OIL-specificat ions in XML-Schema: (2000)Currentl y computers are changing from single isolated devices to entry points in a world wide network of information exchange and business transactions called the World Wide Web (WWW). Therefore support in data, information, and knowledge exchange becomes the key issue in current computer technology. Ontologies provide a shared and common understanding of a domain that can be communicated between people and application systems. Therefore, they may play a major role in supporting...M Klein, D Fensel, Fv van Harmelen, I Horrocks

    Source: (2000)

  4. The management of changing types in an object-oriente d database: (1986), pp. 483-495.Andrea Skarra, Stanley Zdonik

    Source: (1986), pp. 483-495.

  5. Design and implementation of a generalized laboratory data model: BMC Bioinformatics , Vol. 8, No. 1. (2007)BACKGROU ND:Investigato rs in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. In many environments, the methods themselves also evolve in a rapid and fluid manner. These observations point to the importance of robust information management systems in the modern laboratory. Designing and implementing such systems is non-trivial and it appears that in many cases a database project ultimately proves unserviceable. RESULTS:We describe a general modeling framework for laboratory data and its implementation as an information management system. The model utilizes several abstraction techniques, focusing especially on the concepts of inheritance and meta-data. Traditional approaches co-mingle event-oriented data with regular entity data in ad hoc ways. Instead, we define distinct regular entity and event schemas, but fully integrate these via a standardized interface. The design allows straightforwar d definition of a "processing pipeline" as a sequence of events, obviating the need for separate workflow management systems. A layer above the event-oriented schema integrates events into a workflow by defining "processing directives", which act as automated project managers of items in the system. Directives can be added or modified in an almost trivial fashion, i.e., without the need for schema modification or re-certificati on of applications. Association between regular entities and events is managed via simple "many-to-many" relationships. We describe the programming interface, as well as techniques for handling input/output, process control, and state transitions.CO NCLUSIONS:The implementation described here has served as the Washington University Genome Sequencing Center's primary information system for several years. It handles all transactions underlying a throughput rate of about 9 million sequencing reactions of various kinds per month and has handily weathered a number of major pipeline reconfiguratio ns. The basic data model can be readily adapted to other high-volume processing environments.M ichael Wendl, Scott Smith, Craig Pohl, David Dooling, Asif Chinwalla, Kevin Crouse, Todd Hepler, Shin Leong, Lynn Carmichael, Mike Nhan, Benjamin Oberkfell, Elaine Mardis, Ladeana Hillier, Richard Wilson

    Source: BMC Bioinformatics, Vol. 8, No. 1. (2007)

  6. Rondo: a programming platform for generic model management: (2003), pp. 193-204.Sergey Melnik, Erhard Rahm, Philip Bernstein

    Source: (2003), pp. 193-204.

  7. Automatic Web Information Extraction in the ROADRUNNER System: (2002), pp. 264-277.Valter Crescenzi, Giansalvatore Mecca, Paolo Merialdo

    Source: (2002), pp. 264-277.

  8. A survey of approaches to automatic schema matching: VLDB Journal: Very Large Data Bases, Vol. 10, No. 4. (???? 2001), pp. 334-350.Schema matching is a basic problem in many database application domains, such as data integration, E-business, data warehousing, and semantic query processing. In current implementation s, schema matching is typically performed manually, which has significant limitations. On the other hand, previous research papers have proposed many techniques to achieve a partial automation of the match operation for specific application domains. We present a taxonomy that covers many of these existing...Erh ard Rahm, Philip Bernstein

    Source: VLDB Journal: Very Large Data Bases, Vol. 10, No. 4. (???? 2001), pp. 334-350.

  9. Automatic extraction of informative blocks from webpages: (2005), pp. 1722-1726.Sand ip Debnath, Prasenjit Mitra, Lee Giles

    Source: (2005), pp. 1722-1726.

  10. ViPER: augmenting automatic information extraction with visual perceptions: (2005), pp. 381-388.Kai Simon, Georg Lausen

    Source: (2005), pp. 381-388.

If you would like to find additional social bookmark based links on the topic of schema we recommend the Open Tag Directory > Schema. If you would like to find related tags we recommend Tag Patterns > Schema.


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