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www.isocat.org
CLARA 2010 Summer School 1
ISOcatAn ISO 12620:2009 Data Category Registry
Marc Kemps-Snijdersa, Menzo Windhouwera, Sue Ellen Wrightb
aMax Planck Institute for Psycholinguistics, bKent State [email protected] , [email protected], [email protected]
13/7/2010
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CLARA 2010 Summer School 2
Outline
• ISO 12620:2009– What are Data Categories?– How can you use Data Categories?– What is a Data Category Registry?– How can you use a Data Category Registry?
• ISOcat– Demonstration/Tutorial
• Future work• Handson session13/7/2010
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CLARA 2010 Summer School 3
ISO 12620:2009
• Terminology and other content and language resources — Specification of data categories and management of a Data Category Registry for language resources– An ISO TC 37/SC 3 standard (see [1])– Successor to ISO 12620:1999 which contained a
hardcoded list of Data Categories
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CLARA 2010 Summer School 4
What is a Data Category?
• The result of the specification of a given data field– A data category is an elementary descriptor in a linguistic
structure or an annotation scheme.
• Specification consists of 3 main parts:– Administrative part
• Administration and identification
– Descriptive part• Documentation in various working languages
– Linguistic part• Conceptual domain(s for various object languages)
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CLARA 2010 Summer School 5
Data category example
• Data category: /Grammatical gender/– Administrative part:
• Identifier: grammaticalGender• PID: http://www.isocat.org/datcat/DC-1297
– Descriptive part:• English definition: Category based on (depending on languages)
the natural distinction between sex and formal criteria.• French definition: Catégorie fondée (selon la langue) sur la
distinction naturelle entre les sexes ou d'autres critères formels.
– Linguistic part:• Morposyntax conceptual domain: /male/, /feminine/, /neuter/• French conceptual domain: /male/, /feminine/
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Data Category specification – Administrative part
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DCR
Data CategoryGlobal Information
Administration Information Section
Administration Record
Registration Group
Submission Group
Stewardship Group
Decision Group
Change
0..1
1
0..1
1
0..1
1
0..1
1
1..*
1
0..1
1
1..*
1
1
1
1
1
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CLARA 2010 Summer School 7
Data Category specification – Descriptive part
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Data Category
Description Section
Language Section
Name Section
Definition Example
Explanation
Data Element Name
0..*
1
1
1
0..*
1
0..*
1
1..*
1
0..*
1
0..*
1
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CLARA 2010 Summer School 8
Data Category specification – Linguistic part
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Data Category
Complex Data Category
Simple Data Category
Closed Data Category
Open Data Category
Constrained Data Category
Linguistic Section
Closed Linguistic Section
Constrained Linguistic Section
Conceptual Domain
Value Domain
Open Conceptual Domain
Schema Specific Domain
Profile Value Domain
Example Explanation
0..*
1
0..*1
1..*1
0..*
1
1..*
1 0..*
1
0..10..*
11
0..* 1
1..*
1
1..* 1
0..1 1
0..*
1
0..*
1
1..*1
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CLARA 2010 Summer School 9
Mandatory parts of the specification
• For each data category:– a mnemonic identifier– an English definition– an English name
• For complex data categories:– a conceptual domain
• For standardization candidates:– a profile– a justification
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CLARA 2010 Summer School 10
Guidelines for the specification
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• Identifier:– camel case and XML-valid element name (without a
namespace)• partOfSpeech• my:POS, 123POS
• Data Element Name:– language independent name for the data category used in
a specific application domain (specified in the source)• PoS in TBX• NN in myTagset or N in yourTagset (if widely used)
(see [2])
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CLARA 2010 Summer School 11
More guidelines
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• Name Section in a Language Section– legible name
• ‘part of speech’ in the English language section• ‘partie du discours’ in the French language section
• Definition:– intentional definitions (ISO 704)– should consist of a single sentence fragment
• Source:– add a source for any quoted material
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More guidelines
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• Justification:– a simple statement justifying the relevance of the
data category to the field of language resources– especially needed for standardization
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CLARA 2010 Summer School 13
Data Category types
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writtenForm
string
open
grammaticalGender
string
neuter
masculine
feminine
closed
simple:
string
constrained
Constraint: .+@.+
complex:
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CLARA 2010 Summer School 14
Data Category relationships
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• Value domain membership
• Subsumption relationships between simple data categories
• Relationships between complex data categories are not stored in the DCR
partOfSpeech
string
pronoun
personalpronoun
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CLARA 2010 Summer School 15
How can you use Data Categories?
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Lexicon
Lexical Entry
Form Sense
0..*
0..*1..*
1..*
partOfSpeech
writtenForm
writtenForm
grammaticalGender
lexicalType
Word Form
Lemma
Language BWO genders
grammaticalGenderwordOrder
A LMF (ISO 24613:2008) complaint(schema for a) lexicon
A (schema for a) typological database
Shar
ed se
man
tics!
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CLARA 2010 Summer School 16
How?
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<lmf:lexicon xml:lang=“jp” alphabet=“ipa”><lmf:entry><lmf:lemma><lmf:writtenForm>nihongo</…>…</…>…</…>…
</…>
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CLARA 2010 Summer School 17
Referencing Data Categories
• Each Data Category should be uniquely identifiable– Ambiguity: different domains use the same term but mean
different ‘things’– Semantic rot: even in the same domain the meaning of a
term changes over time– Persistence: for archived resources Data Category references
should still be resolvable and point to the specification as it was at/close to time of creation
• ISO/DIS 24619 Language resource management -- Persistent identification and access in language technology applications
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Data Categories Persistent IDentifiers
• persistent identifier (PID)– “unique Uniform Resource Identifier (URI) that
ensures permanent access for a digital object by providing access to it independently of its physical location or current ownership” (see [1])
• For Data Categories this digital object is a specific version of a Data Category specification, i.e., each version of a Data Category has its own PID
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Where do you put these references?
• Preferably in a schema:
<rng:attribute name=“alphabet” dcr:datcat=“http://www.isocat.org/datcat/…”><rng:value dcr:datcat=“http://www.isocat.org/datcat/…”>
ipa</…>…
</…>
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CLARA 2010 Summer School 20
ISO TC 37 standards using Data Categories
• Terminological Markup Framework (TMF; ISO 16642)• Lexical Markup Framework (LMF; ISO 24613)• TermBase eXchange (TBX; ISO 30042)• Morpho-syntactic Annotation Framework (MAF; ISO 24611)• Linguistic Annotation Framework (LAF; ISO 24612)
• Meta models which can be instantiated into a specific model with data categories
• However, some still refer to ISO 12620:1999 Data Categories and some don’t support all types (see [3])
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CLARA 2010 Summer School 21
Other uses of Data Categories
• CLARIN Component Metadata Infrastructure (CMDI)• ISO 12620:2009 provides a small XML vocabulary, DC
Reference (see [4]), which provides elements and attributes to embed Data Category references in arbitrary XML documents– Including: XML Schema, Relax NG, TEI/ISO feature
structures, …• The references can be used in URI based ‘mappings’:
– Including: ODD, RDF-based vocabularies (OWL, SKOS), …
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What is a Data Category Registry?
• A (coherent) set of Data Categories, in our case for linguistic resources
• A system to manage this set:– Create and edit Data Categories– Share Data Categories, e.g., resolve PID references– Standardize Data Categories
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Standardize Data Categories
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Submissiongroup
Data Category RegistryBoard
Validation
Thematic DomainGroup
Evaluation
Stewardshipgroup
Decision Group
rejected rejected
Publication
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CLARA 2010 Summer School 24
Thematic Domain Groups
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TDG 1: MetadataTDG 2: MorphosyntaxTDG 3: Semantic Content Representation TDG 4: Syntax TDG 5: Machine Readable DictionaryTDG 6: Language Resource OntologyTDG 7: LexicographyTDG 8: Language CodesTDG 9: TerminologyTDG 11: Multilingual Information ManagementTDG 12: Lexical ResourcesTDG 13: Lexical SemanticsTDG 14: Source Identification
• TDGs are the owner and guardians of a coherent subset of the DCR
• TDGs own one or more profiles
• Each TDG has a chair• A number of judges (assigned by
SC P members)• A number of expert members (up
to 50%)
• TDGs are constituted at the TC37/SC plenary
• New TDGs need to be proposed by a SC
1. Translation2. Sign language3. Audio
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CLARA 2010 Summer School 25
How can you use a Data Category Registry?
• You can:– Find Data Categories relevant for your resources and embed
references to them so the semantics of (parts of) your resources are made explicit
• This can be supported by tools you use, e.g., ELAN, LEXUS and the CMDI Component Editor directly interact with ISOcat
– Interact with Data Category owners to improve (the coverage of) their Data Categories
– Create (together with others) new Data Categories needed for your resources and share those
– Submit (your) Data Categories for standardization
– Free of charge
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CLARA 2010 Summer School 26
ISOcat
• Reference implementation of ISO 12620:2009• The TC 37 Data Category Registry
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Data Category Interchange Format (DCIF)
• Simplified XML serialization of the data model (see [4])
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Data Category Selection
[1]
Global Information[0..1]
Data Category[1..*]
Administration Information Section
[1]
Description Section[1]
Administration Record
[1]
Language Section[1..*]
Name Section [0..*]
Data Element NameSection
[0..*]
Conceptual Domain [0..*]
Linguistic Section [0..*]
Conceptual Domain [0..*]
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CLARA 2010 Summer School 29
RESTful Web Services
• read-only programming interface to the DCR (see [5])• allows tools to interact with ISOcat to help an user to
embed PIDs in their resources• mainly based on DCIF• uses authentication to access private/shared Data
Categories• currently used by:
– LEXUS: populate an LMF model– ELAN: create controlled vocabularies– CMDI Component Editor: create concept links for component
elements
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CLARA 2010 Summer School 30
Persistent IDentifiers
• ISOcat uses ‘cool URIs’ as PIDs (see [6])– these URIs will never change, but resolve to the
current location in the current implementation, e.g., in ISOcat they resolve to a RESTful Web Service call
– the isocat.org domain is bound to ISO 12620:2009 and the Registration Authority, currently the MPI, is obliged to keep the PIDs associated with this domain resolvable
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Future work
• Finish first complete version of ISOcat:– Standardization process
• Cleanup of the current set of Data Categories– TDGs cleanup their profiles– Standardize first sets of Data Categories
• Interaction with other TC 37 standards:– Migration from ISO 12620:1999– Full support for all types of Data Categories
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More future work
• Additional Data Categories types– Container Data Categories
• Complex and Simple only cover ‘leafs’ and their values
– Data Category Concepts• Basic building blocks for knowledge bases
• Relation Registries– Stores (your) (semantic) relationships between
Data Categories
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CLARA 2010 Summer School 33
Registry network
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Linguistic resources
Data category registries
Relation registries
MPIDCR
ISODCR
Typological Database SystemRRMPI RR
MPIarchive
TDSdatabaseresource
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CLARA 2010 Summer School 34
Handson session• Register with ISOcat
– http://www.isocat.org/• Can you find Data Categories relevant to your type of resources?
– Use the search (options), the explorer, …– Create and save a Data Category Selection
• Do you miss Data Categories?– Create a new Data Category
• Do you want to share Data Categories/selections?– Create together with some students a group– Share your selection with this group
• Do you miss functionality?– Let us know
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CLARA 2010 Summer School 3513/7/2010
Thank you for your attention!
Visitwww.isocat.org
Questions?www.isocat.org/forum/
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References[1] ISO 12620, Terminology and other language and content resources --
Specification of data categories and management of a Data Category Registry for language resources.
[2] http://www.isocat.org/manual/DCRGuidelines.pdf[3] M.A. Windhouwer, S.E. Wright, M. Kemps-Snijders. Referencing ISOcat
data categories. In proceedings of the LREC 2010 LRT standards workshop. Malta, May 18, 2010.
[4] http://www.isocat.org/12620/[5] http://www.isocat.org/rest/help.html[6] Tim Berners-Lee, Cool URIs don't change, 1998.
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