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Difference between revisions of "Entity"

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* Although not strictly required, almost all [[Entity | Entities]] have a single [[NodeId]] [[Attribute]] in addition to whatever other kinds of [[Attribute]]s they may have. This [[NodeId]] [[Attribute]] has a value of type [[NodeId Data Range]] and uniquely identifies the [[Entity]] within its containing [[Context]].
 
* Although not strictly required, almost all [[Entity | Entities]] have a single [[NodeId]] [[Attribute]] in addition to whatever other kinds of [[Attribute]]s they may have. This [[NodeId]] [[Attribute]] has a value of type [[NodeId Data Range]] and uniquely identifies the [[Entity]] within its containing [[Context]].
 
* Some of the [[Attribute]]s of an [[Entity]] may be references to other [[Entity | Entities]] in the same or different [[Context]]s. These are called [[Node Relation]]s. For example, an [[Entity]] representing Bob may have a "knows" [[Node Relation]] [[Attribute]] pointing to an [[Entity]] representing Bob's friend Alice.
 
* Some of the [[Attribute]]s of an [[Entity]] may be references to other [[Entity | Entities]] in the same or different [[Context]]s. These are called [[Node Relation]]s. For example, an [[Entity]] representing Bob may have a "knows" [[Node Relation]] [[Attribute]] pointing to an [[Entity]] representing Bob's friend Alice.
* A single person (thing or concept) may be represented as one (or more) [[Entity | Entities]] in one [[Context]] and (an)other [[Entity | Entities]] in other [[Context]]s. By linking or "federating" these disparate [[Entity | Entities]] one can gain a more unified view of a given person. [[Context]]s representing different systems, organizations and entire enterprises with widely varying storage and trust models are handled using this [[Entity]] linking approach. For example the person "Bob Smith" could be represented as two [[Entity | Entities]]; the first having "bsmith" as an [[NodeId]] and the second having "Bob" as a [[NodeId]]. These two [[Node]]s may be in the same or in different [[Context]]s. To express that the "bsmith" is the same person as "bob" an [[Node Correlation]] [[Attribute]] would be added to "bsmith" whose value points to "Bob".
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* A single person (thing or concept) may be represented as one (or more) [[Entity | Entities]] in one [[Context]] and (an)other [[Entity | Entities]] in other [[Context]]s. By linking or "federating" these disparate [[Entity | Entities]] one can gain a more unified view of a given person. [[Context]]s representing different systems, organizations and entire enterprises with widely varying storage and trust models are handled using this [[Entity]] linking approach. For example the person "Bob Smith" could be represented as two [[Entity | Entities]]; the first having "bsmith" as an [[NodeId]] and the second having "Bob" as a [[NodeId]]. These two [[Entity | Entities]] may be in the same or in different [[Context]]s. To express that the "bsmith" is the same person as "bob" an [[Node Correlation]] [[Attribute]] would be added to "bsmith" whose value points to "Bob".
 
* [[Context]]s can be nested (e.g. enterprises have sub-organizations, and there are systems within an enterprise/org, etc.) or related through other means (employment/HR system vs. customer system where same person is a customer and an employee). Thus linking the [[Entity | Entities]] relevant to those contexts provides an a broader view of a [[Entity]].
 
* [[Context]]s can be nested (e.g. enterprises have sub-organizations, and there are systems within an enterprise/org, etc.) or related through other means (employment/HR system vs. customer system where same person is a customer and an employee). Thus linking the [[Entity | Entities]] relevant to those contexts provides an a broader view of a [[Entity]].
 
* The information contained in one [[Entity]] is not necessarily a pure subset of the union of all of the information contained in all of the linked [[Entity | Entities]] representing a person taken together. There is no consistency constraint imposed between the [[Entity | Entities]] of an person. For example, a person could be represented such that their name was Joe in one [[Entity]] in one [[Context]] and JoAnn in another [[Entity]] in another [[Context]].
 
* The information contained in one [[Entity]] is not necessarily a pure subset of the union of all of the information contained in all of the linked [[Entity | Entities]] representing a person taken together. There is no consistency constraint imposed between the [[Entity | Entities]] of an person. For example, a person could be represented such that their name was Joe in one [[Entity]] in one [[Context]] and JoAnn in another [[Entity]] in another [[Context]].

Revision as of 13:38, 22 April 2008

{{#eclipseproject:technology.higgins}}

Higgins logo 76Wx100H.jpg

Version

This page describes the Higgins concept of Entity used in the Higgins Global Graph 1.1.

Introduction

It is similar to the Identity Gang Lexicon's definition of Digital Subject.

An Entity is a representation of an person, group, thing or concept within a given context. In Higgins the same person, group, etc. is often represented by multiple Entities in different Contexts.

Definition

  • A digital representation of a person, group, thing or concept within a given context
  • A Entity has zero or more Attributes

Details

  • Although not strictly required, almost all Entities have a single NodeId Attribute in addition to whatever other kinds of Attributes they may have. This NodeId Attribute has a value of type NodeId Data Range and uniquely identifies the Entity within its containing Context.
  • Some of the Attributes of an Entity may be references to other Entities in the same or different Contexts. These are called Node Relations. For example, an Entity representing Bob may have a "knows" Node Relation Attribute pointing to an Entity representing Bob's friend Alice.
  • A single person (thing or concept) may be represented as one (or more) Entities in one Context and (an)other Entities in other Contexts. By linking or "federating" these disparate Entities one can gain a more unified view of a given person. Contexts representing different systems, organizations and entire enterprises with widely varying storage and trust models are handled using this Entity linking approach. For example the person "Bob Smith" could be represented as two Entities; the first having "bsmith" as an NodeId and the second having "Bob" as a NodeId. These two Entities may be in the same or in different Contexts. To express that the "bsmith" is the same person as "bob" an Node Correlation Attribute would be added to "bsmith" whose value points to "Bob".
  • Contexts can be nested (e.g. enterprises have sub-organizations, and there are systems within an enterprise/org, etc.) or related through other means (employment/HR system vs. customer system where same person is a customer and an employee). Thus linking the Entities relevant to those contexts provides an a broader view of a Entity.
  • The information contained in one Entity is not necessarily a pure subset of the union of all of the information contained in all of the linked Entities representing a person taken together. There is no consistency constraint imposed between the Entities of an person. For example, a person could be represented such that their name was Joe in one Entity in one Context and JoAnn in another Entity in another Context.

Node Subclasses

Each Context has an associated ontology/schema. This schema must import and build on the terms in HOWL. Within this ontology the Context can define its own Entity subclasses and Attribute types. When defining a Entity subclass, the class definition can place restrictions on the cardinality of Attribute types also defined in the ontology. A given Entity subclass:

  • MAY define the minimum cardinality of an Attribute, that is, the minimum number of values allowed (e.g. >=3 values)
    • MAY define the maximum cardinality of an Attribute, that is, the minimum number of values allowed (e.g. <=100 values)

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