the dcmi abstract model and dc kernel

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4 O c t o b e r 2 0 0 6 Pete Johnston, Eduserv Foundation [email protected] www.eduserv.org.uk/foundation The DCMI Abstract Model and DC Kernel DCMI Kernel Working Group DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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An examination of the relationship between the DCMI Abstract Model and the DC Kernel. Presentation given to meeting of the DCMI Kernel Working Group held at DC-2006, Manzanillo, Colima, Mexico on 4 October 2006

TRANSCRIPT

Page 1: The DCMI Abstract Model and DC Kernel

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Pete Johnston, Eduserv [email protected]

www.eduserv.org.uk/foundation

The DCMI Abstract Model and DC Kernel

DCMI Kernel Working Group DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

Page 2: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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The DCMI Abstract Model and DC Kernel

• Quick overview of DCMI Abstract Model (DCAM)

• Comparison of DCAM features and Kernel features

– Very much an initial survey

– Not the final word!!

Page 3: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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DCMI Abstract Model: Overview

• DCMI Abstract Model– DCMI Recommendation March 2005

• Formalises and refines “DCMI Grammatical Principles”

• DCAM describes– Components and constructs that make up an

information structure (“DC description set”)

– How that information structure is to be interpreted

• Similar to RDF model

• DCAM does not describe how to represent DC description set in concrete form

Page 4: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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DCAM Resource Model

• Each resource has zero or more property/value pairs • Each property/value pair is made up of one property

and one value • Each value is a resource (the physical or conceptual

entity that is associated with a property when it is used to describe a resource)

• Each resource is an instance of one or more classes.

• Essentially, binary relationships between resources– Resource -- Property - Value– -- Property - Value– -- Property - Value

• Compatible with Kernel attribute/value model

Page 5: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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DCAM Vocabulary Model

• Describes the types of terms that are referenced in DC metadata description sets

– Properties (elements)– Classes– Vocabulary Encoding Schemes (Enumerated Set of Resources)– Syntax Encoding Schemes (Datatype)

• Describes the types of relationships that exist between terms

– essentially, RDF Schema concepts– subpropertyOf– subclassOf– (future) range– (future) domain

• DCAM does not specify set of terms to be used • All terms are identified by & referenced using URIs

Page 6: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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DCAM Description Model

• a description set is made up of one or more descriptions • a description is made up of

– zero or one resource URI and – one or more statements

• a statement is made up of – exactly one property URI and – zero or one reference to a value in the form of a value URI – zero or more representations of a value, each in the form of a value

representation – zero or one vocabulary encoding scheme URI

• a value representation is either – a value string or – a rich representation

• a value string may have an associated value string language • a value string may have an associated syntax encoding scheme URI • a value may be the subject of a related description

Page 7: The DCMI Abstract Model and DC Kernel

Resource URI

Property URI Rich representation

Property URI Value URI Vocab Enc Scheme URI

Property URIValue string Syntax Enc Scheme URI

Value string Syntax Enc Scheme URI

Resource URI

Property URI Rich representation

Property URI Value URI Vocab Enc Scheme URI

Property URI Value string Syntax Enc Scheme URI

Statement

Description

Description Set

Page 8: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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DCAM Vocabulary Model & Kernel

• Kernel elements function as properties

• But Kernel elements not identified by URIs– Need label – URI mapping

– (More later)

• No relations between Kernel elements?– No subproperty etc inferencing

Page 9: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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DCAM Description Model & Kernel

DCAM Kernel

Description Set Instance?

Description Story see issues

Resource URI

Statement Element in Story

Property URI Element labelsee issues

Value String Valuemultiple value strings supported

Value String Language

Page 10: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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DCAM Description Model & Kernel

DCAM Kernel

Rich Representation

Value URI

Vocabulary Encoding Scheme URI

Syntax Encoding Scheme URI

Related Description (Implicit in relations between contexts)

Page 11: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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Issues (1)

• Descriptions and Kernel Stories• A Description is a set of statements “about” a

single described resource

• Describes set of relationships between resource A and one or more other resources

• Resource A• Is-related-in-way-P-to Value W

• Is-related-in-way-Q-to Value X

• Is this true for Kernel Stories?• e.g. Kernel note element describes Story not

Expression, Content etc

Page 12: The DCMI Abstract Model and DC Kernel

4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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Issues (2)

• Properties and Kernel Elements• A Property is a type of relationship between two

resources

• Property URI always denotes same relationship type

• However, Kernel element label denotes different relationship type depending on Story Context• erc where = has-identifier

• erc-about where = has-spatial-coverage

• So should map to different Property URIs depending on context?

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4 October 2006DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico

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Issues (3)

• Contexts make Stories into Descriptions of Related Resources• Contexts may imply additional statements

representing relationships between described resources?

• Resource described by erc context story

• is-expression-Of

• Resource described by erc-about context story

Page 14: The DCMI Abstract Model and DC Kernel

erc: who: Lederberg, Joshua what: Studies of Human Families for Genetic Linkage when: 1974 where: http://profiles.nlm.nih.gov/BB/AA/TT/tt.pdf note: This is an example of a record for an expression.

erc-about: who: Smith, John what: Genetics when: 1965-1972 where: California, USA note: This is an example of a record for the content.

Page 15: The DCMI Abstract Model and DC Kernel

@prefix erc <http://kernel.example.org/elements/erc/> .@prefix erc-about <http://kernel.example.org/elements/erc-about/> .DescriptionSet ( Description ( Statement ( PropertyURI ( erc:who ) ValueString ( “Lederberg, Joshua” ) ) Statement ( PropertyURI ( erc:what ) ValueString ( “Studies of Human Families for Genetic Linkage” ) ) Statement ( PropertyURI ( erc:when ) ValueString ( “1974” ) ) Statement ( PropertyURI ( erc:where ) ValueString ( “http://profiles.nlm.nih.gov/BB/AA/TT/tt.pdf” ) ) Statement ( PropertyURI ( erc:isExpressionOf ) DescriptionRef ( content1 ) ) )

Page 16: The DCMI Abstract Model and DC Kernel

Description ( DescriptionId ( content1 ) Statement ( PropertyURI ( erc-about:who ) ValueString ( “Smith, John” ) ) Statement ( PropertyURI ( erc-about:what ) ValueString ( “Genetics” ) ) Statement ( PropertyURI ( erc-about:when ) ValueString ( “1965-1972” ) ) Statement ( PropertyURI ( erc-about:where ) ValueString ( “California, USA” ) ) ))

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Summary

• Kernel resource model is compatible with DCAM resource model (I think!)

• Kernel vocabulary model is small subset of DCAM vocabulary model• Need mapping of element labels to URIs• Different properties for different contexts

• Kernel description model is not (I think!) strictly a subset of DCAM description model• Kernel instances may be mapped to DCAM

description sets but may require additional term-specific knowledge (e.g. note element)

Page 18: The DCMI Abstract Model and DC Kernel

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Pete Johnston, Eduserv [email protected]

www.eduserv.org.uk/foundation

The DCMI Abstract Model and DC Kernel

DCMI Kernel Working Group DC-2006: Metadata for Knowledge & Learning, Manzanillo, Mexico