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Contents contributed and discussions participated by kuni katsuya

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kuni katsuya

Git - Book - 0 views

git-scm.com/book

git book

shared by kuni katsuya on 02 Jul 12 - No Cached
  • Pro Git
  • Download this book in PDF, mobi, or ePub form for free.
kuni katsuya

Entity-attribute-value model - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Entity-attribute-value_model

eav sparse open schema

shared by kuni katsuya on 01 Jul 12 - Cached
  • Entity–attribute–value model
  • Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest
  • also known as object–attribute–value model, vertical database model and open schema
  • ...21 more annotations...
  • In an EAV data model, each attribute-value pair is a fact describing an entity, and a row in an EAV table stores a single fact
  • EAV tables are often described as "long and skinny": "long" refers to the number of rows, "skinny" to the few columns
  • Data is recorded as three columns: The entity: the item being described. The attribute or parameter: a foreign key into a table of attribute definitions. At the very least, the attribute definitions table would contain the following columns: an attribute ID, attribute name, description, data type, and columns assisting input validation
  • The value of the attribute
  • Row modeling, where facts about something (in this case, a sales transaction) are recorded as multiple rows rather than multiple columns
  • differences between row modeling and EAV (which may be considered a generalization of row-modeling) are:
  • A row-modeled table is homogeneous in the facts that it describes
  • The data type of the value column/s in a row-modeled table is pre-determined by the nature of the facts it records. By contrast, in an EAV table, the conceptual data type of a value in a particular row depend on the attribute in that row
  • In the EAV table itself, this is just an attribute ID, a foreign key into an Attribute Definitions table
  • The Attribute
  • The Value
  • Coercing all values into strings
  • larger systems use separate EAV tables for each data type (including binary large objects, "BLOBS"), with the metadata for a given attribute identifying the EAV table in which its data will be stored
  • Where an EAV system is implemented through RDF, the RDF Schema language may conveniently be used to express such metadata
  • access to metadata must be restricted, and an audit trail of accesses and changes put into place to deal with situations where multiple individuals have metadata access
  • quality of the annotation and documentation within the metadata (i.e., the narrative/explanatory text in the descriptive columns of the metadata sub-schema) must be much higher, in order to facilitate understanding by various members of the development team.
  • Attribute metadata
  • Validation metadata include data type, range of permissible values or membership in a set of values, regular expression match, default value, and whether the value is permitted to be null
    • kuni katsuya
      kuni katsuya on 01 Jul 12
       
      jsr-299 bean validation anyone?  :)
  • Presentation metadata: how the attribute is to be displayed to the user
  • Grouping metadata: Attributes are typically presented as part of a higher-order group, e.g., a specialty-specific form. Grouping metadata includes information such as the order in which attributes are presented
  • Advanced validation metadata Dependency metadata:
kuni katsuya

Ontology (information science) - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Ontology_(computer_science)

ontology wikipedia

shared by kuni katsuya on 01 Jul 12 - Cached
  • an ontology formally represents knowledge as a set of concepts within a domain, and the relationships between those concepts. It can be used to reason about the entities within that domain and may be used to describe the domain
  • n ontology renders shared vocabulary and taxonomy which models a domain with the definition of objects and/or concepts and their properties and relations
  • Common components of ontologies include:
  • ...8 more annotations...
  • Individuals: instances or objects
  • Attributes: aspects, properties, features, characteristics, or parameters
  • Relations: ways in which classes and individuals can be related to one another
  • Function terms:
  • Restrictions: formally stated descriptions of what must be true in order for some assertion to be accepted as input
  • Rules: statements in the form of an if-then (antecedent-consequent) sentence that describe the logical inferences that can be drawn from an assertion in a particular form
  • Axioms: assertions (including rules) in a logical form
  • Events: the changing of attributes or relations
kuni katsuya

CASE Tools - Computer-Aided Software Engineering Tools Community : Uml - 0 views

case-tools.org/uml.html

uml tools

shared by kuni katsuya on 01 Jul 12 - No Cached
  • Visual Paradigm for UML
  • Rational Rose Modeler
  • Enterprise Architect
kuni katsuya

XML Schema Editor in NetBeans IDE 7.0.1 (Geertjan's Blog) - 0 views

blogs.oracle.com/...xml_schema_editor_in_netbeans

xml schema editor netbeans netbeans7

shared by kuni katsuya on 29 Jun 12 - No Cached
  • http://deadlock.netbeans.org/hudson/job/xml/lastSuccessfulBuild/artifact/build/updates/updates.xml
  • XML Schema Editor in NetBeans IDE 7.0.1
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