RSS
热门关键字:  数据挖掘  人工智能  数据仓库  搜索引擎  数据挖掘导论

Dublin Core Ontology

来源: 作者:unkonwn 时间:2004-12-04 点击:

Dublin Core Ontology

Id: dublin-core-ontology
Version: 1.0
Description: A translation of the Dublin Core element set into SHOE. The Dublin Core element set defines a set of metadata elements for cataloging library items and other electronic resources. This ontology is only an example. It is not even remotely intended for real use, and the ontology itself may change without warning. The specifics of the Dublin Core Element Set are in flux, and even as we speak, this ontology is out of date.
Contact: Sean Luke (seanl@cs.umd.edu)
Revision Date: 25 Feb 2000

Organization of this Document

This ontology is declared in this document both in human-readable form (what you see in front of you now) and machine-readable SHOE form (which you can see from viewing the html source of this document). The rest of this document is divided into the following sections:

  • Discussion
  • Extended Ontologies
  • Renames
  • Categories
  • Relationships
  • Inferences
  • Declarators Constants and Predefined Relations
  • Definitions
  • Notes
  • Change History

Discussion

The Dublin Core element set defines a set of metadata elements for cataloging library items and other electronic resources. Such items are known as "resources", and there exist certain relationships (Dublin Core calls these relationships "elements") between resources and other resources or data. The Dublin Core elements are: TITLE, CREATOR, SUBJECT, DESCRIPTION, PUBLISHER, CONTRIBUTOR, DATE, TYPE, FORMAT, IDENTIFIER, SOURCE, LANGUAGE, RELATION, COVERAGE, and RIGHTS. 数据挖掘研究院

These elements have currently been implemented in SHOE as binary relations between a Resource and a .STRING, with the following caveats and exceptions: 数据挖掘研究院

TITLE
...is synonymous with base.name
DESCRIPTION
...is synonymous with base.description
DATE
...is a binary relationship between a Resource and a .DATE
TYPE
...is a binary relationship between a Resource and a Type. Following
FORMAT
...is a binary relationship between a Resource and a Format. Dublin has not formally defined (or even suggested) a collection of Formats, so we don′t define any in this ontology, though you are welcome to define some yourself.
RELATION
...is a 3-ary relationship between a Relation, and two Resources. Dublin has not formally defined (or even suggested) a collection of Relations, so we don′t define any in this ontology, though you are welcome to define some yourself.

Extended Ontologies

The following ontologies are extended by the current ontology: 数据挖掘研究院

  •  

Renames

This ontology has renamed the following objects from other ontologies: 数据挖掘研究院


Object Renamed From ================================================================ title base.name description base.description

Categories

The following taxonomy is the collection of categories declared in this ontology. The hierarchical form is intended to show the ISA chain. Categories in [Brackets] are not defined here but are defined in an ontology extended by this one. Elements in {Braces} are additional supercategories of the category immediately before them (signifying multiple inheritance).

数据挖掘研究院


[base.Entity] [base.SHOEEntity] DublinCoreEntity Resource Type Format Relation


数据挖掘研究院

Relationships

Relationships are declared between one or more arguments. Relationship arguments are either types or are categories. If the argument is a category, any subcategory of that category is valid as well. 数据挖掘实验室


Relation Argument 1 Argument 2 Argument 3 ================================================================================== DUBLIN CORE RELATIONS: creator Resource .STRING subject Resource .STRING publisher Resource .STRING contributor Resource .STRING date Resource .DATE type Resource Type format Resource Format identifier Resource .STRING source Resource .STRING language Resource .STRING relation Relation Resource Resource coverage Resource .STRING rights Resource .STRING OTHER RELATIONS: typeParent Type (the child) Type (the parent) inferredType Resource Type 数据挖掘研究院

Inferences

This ontology defines some inferences which may be useful to agents:

Types are Inferred Types
If type(x,y) then inferredType(x,y)
InferredType is transitive along type parents
If inferredType(x,y) and typeParent(y,z), then inferredType(x,z)

Declarators Constants and Predefined Relations

This ontology has defined the following constants. The hierarchy implied in the constant definitions below indicates that the relational claim typeParent(child,parent) has been made between the constant and its parent constant in the hierarchy. This claim was made by the instance http://www.cs.umd.edu/projects/plus/SHOE/onts/dublin.html, which is a declarator for the ontology.

数据挖掘研究院


Constant Category ================================ Text Type Abstract Type Advertisement Type Article Type Correspondence Type Discussion Type Email Type Letter Type Postcard Type Dictionary Type Form Type Homepage Type Organizational Type Personal Type Index Type Manual Type Manuscript Type Minutes Type Monograph Type Pamphlet Type Poem Type Preprint Type Proceedings Type Promotion Type Serial Type Journal Type Magazine Type Newsletter Type Newspaper Type TechReport Type Thesis Type Doctoral Type Masters Type Image Type Moving Type Animation Type Film Type Photograph Type Graphic Type Sound Type Ambient Type Effect Type Music Type Narration Type Speech Type Software Type Executable Type Source Type Data Type Numeric Type Spatial Type Spectral Type Statistical Type Structured-Text Type Interactive Type Chat Type Games Type Multimedia Type VR Type 数据挖掘研究院
数据挖掘研究院

Definitions

Not available

数据挖掘研究院


Notes:

  • none

Change History:

  • 2/25/2000 - Corrected the ontology to be properly compliant 1.0 SHOE. Reformatted the page.
SHOE Base Ontology (base: base-ontology, v. 1.0 ) one popular type collection, this ontology has defined a collection of Types that you may use in this relationship. These are automatically arranged in a hierarchy through the relation typeParent. Further, if you define that there exists a type relationship between some Resource and some Type, then it is automatically inferred that the relationship inferredType exists between that Resource and that Type, and also between that Resource and any ancestor type of Type in the hierarchy.
最新评论共有 0 位网友发表了评论
发表评论
评论内容:不能超过250字,需审核,请自觉遵守互联网相关政策法规。
匿名?