Changes between Version 9 and Version 10 of Archtectural Overview Design Principles

Timestamp:

Sep 6, 2007, 10:45:22 PM (17 years ago)

Author:

KOBAYASHI, Shinji

Comment:

--

Archtectural Overview Design Principles

@@ -12 +12 @@
 4.1 Ontological Separation
 
-どのモデル化する体系でももっとも基本的な種類の特徴はオントロジーによる（例えば，現実世界の抽象化レベルなど）ものである。すべてのモデルはある種の意味論的内容を持つが，その意味するところは同じカテゴリーであっても同じではない。例えば，SNOMED-CT[[FootNote(See http://www.snomed.org)]]用語体系は細菌感染の種類を体のどこの部位か，症候の種類はどうかで記述している。
+どのモデル化する体系でももっとも基本的な種類の特徴はオントロジーによる（例えば，現実世界の抽象化レベルなど）ものである。すべてのモデルはある種の意味論的内容を持つが，その意味するところは同じカテゴリーであっても同じではない。例えば，SNOMED-CT[[FootNote(See http://www.snomed.org)]]用語体系は細菌感染の種類を体のどこの部位か，症候の種類はどうかで記述している。情報モデルは論理型の「量」を指定する可能性がある。内容モデルは内科医による出生後の診察で得られた情報のモデルを定義することができるかもしれない。これらの「情報」の型は質的に異なり，すべての生態系モデルとは分離して開発し，維持される必要がある。図4はこれらの差異を図示し，どの部分がソフトウェアやデータベースとに直接構築されるかを示している。
 
-The most basic kind of distinction in any system of models is ontological, i.e. in the levels of abstraction of description of the real world. All models carry some kind of semantic content, but not all semantics are the same, or even of the same category. For example, some part of the SNOMED-CT1 terminology describes types of bacterial infection, sites in the body, and symptoms. An information model might specify a logical type Quantity. A content model might define the model of information collected in an ante-natal examination by a physician. These types of "information" are qualitatively different, and need to be developed and maintained separately within the overall model eco-system. FIGURE 4 illustrates these distinctions, and indicates what parts are built directly into software and databases.
+The most basic kind of distinction in any system of models is ontological, i.e. in the levels of abstraction of description of the real world. All models carry some kind of semantic content, but not all semantics are the same, or even of the same category. For example, some part of the SNOMED-CT[[FootNote(See http://www.snomed.org)]] terminology describes types of bacterial infection, sites in the body, and symptoms. An information model might specify a logical type Quantity. A content model might define the model of information collected in an ante-natal examination by a physician. These types of "information" are qualitatively different, and need to be developed and maintained separately within the overall model eco-system. FIGURE 4 illustrates these distinctions, and indicates what parts are built directly into software and databases.
 
 This figure shows a primary separation between "ontologies of information" i.e. models of information content, and "ontologies of reality" i.e. descriptions and classifications of real phenomena. These two categories have to be separated because the type of authors, the representation and the purposes are completely different. In health informatics, this separation already exists by and large, due to the development of terminologies and classifications.