National Recovery Dialogue - preferred-system-for-managing-diverse-types-and-sources-of-data

Roy Roebuck (United States of America)
Roy Roebuck idea at http://www.thenationaldialogue.org/ideas/preferred-system-for-managing-diverse-types-and-sources-of-data.
159 words 2 learners

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Full list of words from this list:

words only definitions & notes
  1. access
    the right to enter
    M1 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  2. across
    to the opposite side
    You also built your integrating models at this level, e.g., a model for integrating M1 layer database designs across various M1 application designs and process models.
  3. adaptive
    having a capacity for change
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  4. also
    in addition
    M2 contains the basic set of things, also called classes or types, that are named, related, and described in the domain being modeled.
  5. application
    the action of putting something into operation
    Why: With a metadata repository - the model is the application.
  6. apply
    employ for a particular purpose
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  7. approach
    move towards
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  8. architecture
    the discipline dealing with the design of fine buildings
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  9. attribute
    a quality belonging to or characteristic of an entity
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  10. automated
    operated with minimal human intervention
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  11. available
    obtainable or accessible and ready for use or service
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  12. axiology
    the study of values and value judgments
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiolo
  13. base
    lowest support of a structure
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  14. basic
    reduced to the simplest and most significant form possible
    M2 contains the basic set of things, also called classes or types, that are named, related, and described in the domain being modeled.
  15. basis
    the fundamental assumptions from which something is begun
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  16. being
    the state or fact of existing
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  17. beyond
    farther along in space or time or degree
    With an open (i.e., non-proprietary) MDA Four Layer metamodeling approach, you can model anything and everything in the universe and beyond - any system not just software.
  18. build
    make by combining materials and parts
    You can build a metadata repository on top of an XML, RDF, or SQL DBMS, and other technologies as well.
  19. build in
    make something an integral part of something else
    In a metadata repository, these things are all typically built in or fully interoperable.
  20. building
    the act of constructing something
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  21. built
    having a substance added to increase effectiveness
    In a metadata repository, these things are all typically built in or fully interoperable.
  22. business
    the principal activity in one's life to earn money
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  23. chain
    a series of (usually metal) rings or links fitted into one another to make a flexible ligament
    â€Â¢M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  24. changing
    marked by continuous modification or effective action
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  25. class
    a collection of things sharing a common attribute
    M2 contains the basic set of things, also called classes or types, that are named, related, and described in the domain being modeled.
  26. closed
    not open
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  27. code
    a set of rules or principles or laws
    With a SQL DBMS, database, and application, the conceputal model, logical model, physical schema, database, and application code are separate from each other and much harder to change when needed.
  28. collect
    gather
    The model is immediately usable as an application to collect, present, or process data.
  29. community
    a group of people living in a particular local area
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  30. concept
    an abstract or general idea inferred from specific instances
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  31. consistent
    the same throughout in structure or composition
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  32. contain
    hold or have within
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  33. continuously
    at every point
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  34. control
    power to direct or determine
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  35. core
    the center of an object
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  36. cycle
    a periodically repeated sequence of events
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  37. data
    a collection of facts from which conclusions may be drawn
    Preferred system for managing diverse types and sources of data.
  38. database
    an organized body of related information
    With a SQL DBMS, database, and application, the conceputal model, logical model, physical schema, database, and application code are separate from each other and much harder to change when needed.
  39. datum
    an item of factual information from measurement or research
    Preferred system for managing diverse types and sources of data.
  40. DBMS
    a software system that facilitates the creation and maintenance and use of an electronic database
    You can build a metadata repository on top of an XML, RDF, or SQL DBMS, and other technologies as well.
  41. described
    represented in words especially with sharpness and detail
    M2 contains the basic set of things, also called classes or types, that are named, related, and described in the domain being modeled.
  42. design
    the act of working out the form of something
    You also built your integrating models at this level, e.g., a model for integrating M1 layer database designs across various M1 application designs and process models.
  43. dictionary
    a reference book containing an alphabetical list of words
    Dictionaries, Taxonomies such as the OMB Reference Models, Thesaurus, Lookup Tables, Master Data, Master Metadata) by all other models and instances.
  44. diverse
    distinctly dissimilar or unlike
    Preferred system for managing diverse types and sources of data.
  45. domain
    a particular environment or walk of life
    M2 contains the basic set of things, also called classes or types, that are named, related, and described in the domain being modeled.
  46. driven
    compelled forcibly by an outside agency
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  47. e.g.
    as an example
    You also built your integrating models at this level, e.g., a model for integrating M1 layer database designs across various M1 application designs and process models.
  48. economic
    of or relating to production and management of wealth
    â€Â¢M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  49. equipment
    an instrumentality needed for an undertaking
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  50. example
    an item of information that is typical of a class or group
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  51. flexible
    able to bend easily
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  52. for example
    as an example
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  53. form
    a perceptual structure
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  54. forward
    at or to or toward the front
    An open metadata repository is a quantum leap forward in world modeling and data management over SQL.
  55. foundation
    the basis on which something is grounded
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  56. four
    the cardinal number that is the sum of three and one
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  57. fully
    to the greatest degree or extent; completely or entirely;
    In a metadata repository, these things are all typically built in or fully interoperable.
  58. geographic
    of or relating to the science of geography
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  59. group
    any number of entities (members) considered as a unit
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  60. hardware
    tools or implements made of metal
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  61. immediately
    without delay or hesitation; with no time intervening
    The model is immediately usable as an application to collect, present, or process data.
  62. in general
    without distinction of one from others
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  63. inherit
    receive from a predecessor
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  64. inherited
    occurring among members of a family usually by heredity
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  65. input
    signal going into an electronic system
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  66. instance
    an item of information that is typical of a class or group
    This is where you build all models (using the M3 object and relation types) and instances that are used as references (e.g,
  67. integrating
    the action of incorporating a racial or religious group into a community
    You also built your integrating models at this level, e.g., a model for integrating M1 layer database designs across various M1 application designs and process models.
  68. interoperable
    able to exchange and use information
    In a metadata repository, these things are all typically built in or fully interoperable.
  69. knowledge
    the result of perception, learning, and reasoning
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  70. knowledge base
    the content of a particular field of knowledge
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  71. layer
    a single thickness of some substance or material
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  72. leap
    move forward by bounds
    An open metadata repository is a quantum leap forward in world modeling and data management over SQL.
  73. level
    a relative position or degree of value in a graded group
    You also built your integrating models at this level, e.g., a model for integrating M1 layer database designs across various M1 application designs and process models.
  74. life
    the organic phenomenon that distinguishes living organisms
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  75. life cycle
    a series of stages through which an organism passes
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  76. limit
    as far as something can go
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  77. limited
    subject to restrictions or constraints
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  78. logical
    based on known statements or events or conditions
    With a SQL DBMS, database, and application, the conceputal model, logical model, physical schema, database, and application code are separate from each other and much harder to change when needed.
  79. lookup
    an operation that determines whether one or more of a set of items has a specified property
    Dictionaries, Taxonomies such as the OMB Reference Models, Thesaurus, Lookup Tables, Master Data, Master Metadata) by all other models and instances.
  80. management
    the act of controlling something
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  81. management control
    an internal control performed by one or more managers
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  82. map
    a diagrammatic representation of the earth's surface
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  83. master
    a person who has authority over others
    Dictionaries, Taxonomies such as the OMB Reference Models, Thesaurus, Lookup Tables, Master Data, Master Metadata) by all other models and instances.
  84. metadata
    data about data
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  85. metric
    based on a decimal unit of measurement
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  86. metrics
    the study of poetic meter and the art of versification
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  87. model
    a representation of something, often on a smaller scale
    Why: With a metadata repository - the model is the application.
  88. modeled
    resembling sculpture
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  89. modeling
    the act of representing something
    An open metadata repository is a quantum leap forward in world modeling and data management over SQL.
  90. national
    of or relating to or belonging to a country
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  91. needed
    necessary for relief or supply
    With a SQL DBMS, database, and application, the conceputal model, logical model, physical schema, database, and application code are separate from each other and much harder to change when needed.
  92. non
    negation of a word or group of words
    With an open (i.e., non-proprietary) MDA Four Layer metamodeling approach, you can model anything and everything in the universe and beyond - any system not just software.
  93. number
    a concept of quantity involving zero and units
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  94. numbers
    an illegal daily lottery
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  95. object
    a tangible and visible entity
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  96. OMB
    the executive agency that advises the President on the federal budget
    Dictionaries, Taxonomies such as the OMB Reference Models, Thesaurus, Lookup Tables, Master Data, Master Metadata) by all other models and instances.
  97. ontology
    the metaphysical study of the nature of being and existence
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  98. open
    affording free passage or access
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  99. other
    not the same one or ones already mentioned or implied
    You can build a metadata repository on top of an XML, RDF, or SQL DBMS, and other technologies as well.
  100. output
    production of a certain amount
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  101. performance
    the act of doing something successfully
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  102. physical
    involving the body as distinguished from the mind or spirit
    With a SQL DBMS, database, and application, the conceputal model, logical model, physical schema, database, and application code are separate from each other and much harder to change when needed.
  103. populated
    furnished with inhabitants
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  104. prefer
    like better; value more highly
    Preferred system for managing diverse types and sources of data.
  105. preferred
    more desirable than another
    Preferred system for managing diverse types and sources of data.
  106. process
    a particular course of action intended to achieve a result
    The model is immediately usable as an application to collect, present, or process data.
  107. proprietary
    protected by trademark or patent or copyright
    With an open (i.e., non-proprietary) MDA Four Layer metamodeling approach, you can model anything and everything in the universe and beyond - any system not just software.
  108. quantum
    the smallest discrete quantity of some physical property
    An open metadata repository is a quantum leap forward in world modeling and data management over SQL.
  109. quantum leap
    a sudden large increase or advance
    An open metadata repository is a quantum leap forward in world modeling and data management over SQL.
  110. refer
    make a remark that calls attention to
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  111. reference
    the act of consulting
    This is where you build all models (using the M3 object and relation types) and instances that are used as references (e.g,
  112. related
    connected logically or causally or by shared characteristics
    M2 contains the basic set of things, also called classes or types, that are named, related, and described in the domain being modeled.
  113. relation
    the state or quality of having something in common
    This is where you build all models (using the M3 object and relation types) and instances that are used as references (e.g,
  114. relationship
    a mutual connection between people
    â€Â¢M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  115. repository
    a facility where things can be deposited for safekeeping
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  116. reusable
    capable of being used again
    M3 contains the object model (made available by the physical model/metadata repository software and hardware), where all modeled "things" are given their core inherited attributes and their core reusable "types" of relationships.
  117. rule
    prescribed guide for conduct or action
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  118. scalable
    capable of being climbed
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  119. schema
    a simplified or preliminary plan
    With a SQL DBMS, database, and application, the conceputal model, logical model, physical schema, database, and application code are separate from each other and much harder to change when needed.
  120. select
    pick out or choose from a number of alternatives
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  121. selected
    chosen in preference to another
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  122. separate
    standing apart; not attached to or supported by anything
    With a SQL DBMS, database, and application, the conceputal model, logical model, physical schema, database, and application code are separate from each other and much harder to change when needed.
  123. set
    put into a certain place or abstract location
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  124. software
    written programs operating on a computer system
    With an open (i.e., non-proprietary) MDA Four Layer metamodeling approach, you can model anything and everything in the universe and beyond - any system not just software.
  125. source
    the place where something begins
    Preferred system for managing diverse types and sources of data.
  126. structure
    a complex entity made of many parts
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  127. such
    of so extreme a degree or extent
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  128. system
    a group of independent elements comprising a unified whole
    Preferred system for managing diverse types and sources of data.
  129. table
    furniture having a smooth flat top supported by legs
    Dictionaries, Taxonomies such as the OMB Reference Models, Thesaurus, Lookup Tables, Master Data, Master Metadata) by all other models and instances.
  130. taxonomy
    a classification of organisms based on similarities
    Dictionaries, Taxonomies such as the OMB Reference Models, Thesaurus, Lookup Tables, Master Data, Master Metadata) by all other models and instances.
  131. technology
    the practical application of science to commerce or industry
    You can build a metadata repository on top of an XML, RDF, or SQL DBMS, and other technologies as well.
  132. terminology
    a system of words used to name things in a discipline
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  133. thesaurus
    a book containing a classified list of synonyms
    Dictionaries, Taxonomies such as the OMB Reference Models, Thesaurus, Lookup Tables, Master Data, Master Metadata) by all other models and instances.
  134. thing
    a separate and self-contained entity
    In a metadata repository, these things are all typically built in or fully interoperable.
  135. things
    any movable possession (especially articles of clothing)
    In a metadata repository, these things are all typically built in or fully interoperable.
  136. throughout
    from first to last
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  137. tool
    an implement used to perform a task or job
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  138. top
    the upper part of anything
    You can build a metadata repository on top of an XML, RDF, or SQL DBMS, and other technologies as well.
  139. transformation
    the act of changing in form or shape or appearance
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  140. type
    a subdivision of a particular kind of thing
    Preferred system for managing diverse types and sources of data.
  141. typically
    in a manner conforming to a type
    In a metadata repository, these things are all typically built in or fully interoperable.
  142. unchanging
    showing little if any change
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  143. unifying
    tending to become one
    For example, using such an open metadata repository, we could build a National Terminology for ARRA, having a unifying Management Life Cycle process to which other processes and life cycles are mapped, with consistent sets of management controls throughout the unifying life cycle, to which other processes' and applications' management controls, such as performance metrics, are mapped.
  144. universe
    everything that exists anywhere
    With an open (i.e., non-proprietary) MDA Four Layer metamodeling approach, you can model anything and everything in the universe and beyond - any system not just software.
  145. unlimited
    having no limits in range or scope
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  146. usable
    capable of being put to use
    The model is immediately usable as an application to collect, present, or process data.
  147. useful
    having a helpful function
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  148. user
    someone who employs or takes advantage of something
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  149. using
    an act that exploits or victimizes someone
    Using the Object Management Group's (OMG) Model-driven architecture (MDA) approach for building and managing architectures (i.e., ontologies, viewpoints, knowledge-bases) of any type, you apply a four-layer metamodeling structure, with M3 being the foundation and M0 being the top.
  150. value
    the quality that renders something desirable
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  151. values
    beliefs of a group in which they have emotional investment
    M0 contains the diverse data of the community of users, accessed for input, transformation, or output, through the viewpoint designs modeled at the M1 level, and populated where possible with M2 lookup values, e.g., the equipment data-values (selected from an M2 lookup) in the equipment form (M1).
  152. various
    having great diversity or variety
    You also built your integrating models at this level, e.g., a model for integrating M1 layer database designs across various M1 application designs and process models.
  153. view
    the visual percept of a region
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  154. viewpoint
    a mental position from which things are considered
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  155. visualization
    a mental image that is similar to optical perception
    M1 contains the diverse models of viewpoints in the community of users (i.e., concept maps, data models, process models, business rules, forms, reports, business and geographic visualizations, ontologies as knowledge models and architectures, axiologies as value-chain models as in value-added economic models, database structures, software applications, etc.), built by referring (e.g., via automated lookup) to the M2 references.
  156. why
    the cause or intention underlying an action or situation, especially in the phrase `the whys and wherefores'
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  157. working
    a mine or quarry that is being or has been worked
    Why?

    What: A metadata repository is the most flexible, scalable, and useful tool I've found for working with diverse types and sources of data.
  158. world
    the 3rd planet from the sun; the planet we live on
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
  159. world view
    a comprehensive view of the world and human life
    In general, SQL is good for closed-world views of unchanging things for limited numbers of viewpoints, while metadata repositories are good for open-world views of evolving, adaptive, continuously changing things for unlimited numbers of customized user viewpoints.
Created on Sun Jul 05 22:02:05 EDT 2009 (updated Sun Jul 05 22:08:13 EDT 2009)

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