lod kos marcia zeng - ligatus · kos vocabs published as lod. 6/9/19 3 marcia zeng -linked...

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6/9/19 1 LOD KOS Marcia Zeng Linked Conservation Data (LCD) Terminology Workshop Stanford University, June 6-7, 2019 LOD = Linked Open Data KOS=Knowledge Organization Structures/Systems outline uA. KOS vocabs published as LOD 1. Trend: publishing KOS as LOD 2. A closer look in a LOD thesaurus uB. Usages of LOD KOS 1. For LOD Dataset Producers 2. For Website Developers 3. For Vocabulary Producers 4. For [end user] Researchers machine- readable Web - browsable machine- processable 2 LOD KOS Website Developers Thesaurus editor Conservator Conservation scientist Dataset Producer Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

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Page 1: LOD KOS Marcia Zeng - Ligatus · KOS vocabs published as LOD. 6/9/19 3 Marcia Zeng -Linked Conservation Data, Stanford University, June 6 -7, 2019 5 In the BARTOCregistry (The Basel

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LOD KOS Marcia Zeng Linked Conservation Data (LCD) Terminology Workshop

Stanford University, June 6-7, 2019

LOD = Linked Open Data KOS=Knowledge Organization Structures/Systems

outline

uA. KOS vocabs published as LOD

1. Trend: publishing KOS as LOD

2. A closer look in a LOD thesaurus

uB. Usages of LOD KOS

1. For LOD Dataset Producers

2. For Website Developers

3. For Vocabulary Producers

4. For [end user] Researchers

machine-readable

Web-browsable

machine-processable

2

LOD KOS

Website Developers

Thesauruseditor

Conservator

Conservation scientist

Dataset Producer

Marcia Zeng - Linked Conservation Data,

Stanford University, June 6-7, 2019

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http://nkos.slis.kent.edu/KOS_taxonomy.htm

A quick review

A-1. Trend: publishing KOS as LOD

Semantic Web standards

Ø SKOS

Ø OWL

Ø RDFS

Ø SPARQL

Ø RDF

LOD KOS

Ø Many KOS schemes have been turned into

Ø OWL ontologies, or

Ø SKOS-ified datasets;

Ø Such datasets are usually available

Ø as data dumps, or

Ø through SPARQL endpoints.

enables

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 4

uA. KOS vocabs published as LOD

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Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 5

In the BARTOC registry

(The Basel Register of Thesauri, Ontologies & Classifications )

KOS registered: -(2016-05): 1,836

-(2017-08): 2,753

v RDF: 297

-(2019-05-14): 2,983v RDF: 437v SKOS: 431

In the Datahub registry

(for LOD datasets,

not limited to KOS)

LOD KOS registered -(2019-06-01): 1133 found, with tags of:

• “thesaurus” (80)

• “classification” (478)

• “taxonomy” (37)

• “ontology “(531)

• “terminology” (39)

• “glossary” (13)

• “"name authority”(92)

(Note: some are tagged with multiple categories. Some have multiple editions.)

https://old.datahub.io/datasetAccessed 2019-06-01

http://bartoc.org/Accessed 2019-05-14

Standardized domain KOS

o AGROVOC

o Art and Architecture Thesaurus (AAT)

o ICONCLASS - Multilingual Thematic Classification

o English Heritage Monument Types Thesaurus & a series of thesauri for cultural heritage

o Medical Subject Headings (MeSH)

o Gene Ontology

o STW Thesaurus for Economics

o & dozens for biomedicine

Language- and culture-specific KOS

§ Traditional Korean Medicine Ontology

§ Art and Architecture Thesaurus-Taiwan

§ National Diet Library of Japan (NDL) Authorities

§ & more

General-purpose KOS

• Library of Congress Subject Headings (LCSH)

• EuroVoc

• Faceted Application of Subject Terminology (FAST)

• Universal Decimal Classification (UDC) Summary

• Library of Congress Classification;

• National Diet Library of Japan subject headings

Name-authority types of KOS

q Getty Thesaurus of Geographic Names (TGN)

q Union List of Artist Names (ULAN)

q FAO geopolitical ontology

q VIAF (Virtual International Authority File)

q & several national library’s name authorities

LOD KOS in the Datahub -Examples

Available in various formats

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 6

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Data of a LOD KOS are expressed as RDF triples and may be encoded using any concrete RDF syntax.

7

Images captured 2019-05-14

Available in various formats

http://id.loc.gov/authorities/subjects/sh2007006251

Ø Many KOS schemes have been turned intoØ OWL ontologies or Ø SKOS-ified datasets;

Ø Such datasets are usually available Ø as data dumps or Ø through SPARQL endpoints.

http://vocabularies.unesco.org/browser/en/aboutImage captured 2019-05-14

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 8

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http://vocabularies.unesco.org/sparql-form/Image captured 2019-05-14

Ø Many KOS schemes have been turned intoØ OWL ontologies or

Ø SKOS-ified datasets;

Ø Such datasets are usually available Ø as data dumps or

Ø through SPARQL endpoints.

9

A-2. a closer look in a LOD thesaurus…

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Broader

/Narrower

Labels in

different

languages

URI

LOD format

Normal view on the web

Image captured 2019-05-14

http://agrovoc.uniroma2.it/agrovoc/agrovoc/en/page/c_6599 11

SKOS-ifiedskos:broader

skos:broader

skos:broader

skos:broader

skos:related

c_6211products @en

c_8171plant products @en

c_1474cereals @en

c_6599rice @en

c_7552sweet corn @en

c_14385soft corn @en

c_15500corn starch@en

Relationships expressed in SKOS

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RDF triples- view in html table

http://aims.fao.org/aos/agrovoc/c_6599.html

Image captured 2019-05-14Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 13

RDF triples-View as RDF/XML

http://agrovoc.uniroma2.it/agrovoc/agrovoc/en/page/c_6599

Image captured 2019-05-14Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 14

Normal view on the web

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RDF triples -View As RDF/XML

Image captured 2019-05-1415

outline

uA. KOS vocabs published as LOD1. Trend: publishing KOS as LOD

2. A closer look in a LOD thesaurus

uB. Usages of LOD KOS1. For LOD Dataset Producers

2. For Website Developers

3. For Vocabulary Producers

4. For [end user] Researchers

16

LOD KOS

Website Developers

Thesauruseditor

Conservator

Conservation scientist

Dataset Producer

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

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17Tim Berners-Lee https://www.w3.org/DesignIssues/LinkedData.html

B-1. For LOD Dataset Producers LOD KOS vocabularies enable their data to become 4-star and 5-star Linked Open Data

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

18Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

The options and actions related with KOS in the LOD dataset production

no controlled values

ècontrolled

• Need to populate controlled vocabs in a dataset

controlled, but local è use standard or

popular KOS

• Need to map to standard vocabs

controlled, standard vocab, but not on LOD è use LOD KOS

• Need to use LOD vocabs(with URIs)

LOD Dataset Producers

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Milestones:1. Identify the entities.2. Put the entities into structured data.3. Clean up the newly structured data,

with local control.

• Situation: Dealing with semi-structured and unstructured data that have no controlled values for the named entities and topics.

• Task: create LOD datasets from scratch.

These situations can be found everywhere, in data about

o places, o persons, o institutions, o events, o objects, concepts,o … …

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 19

Examples:• Digitized materials,

textual or non-textual, in silos • Archival finding aids• Oral history

transcripts• Merged local files

search & browse

My dataMetadata

Repository

records

RDF graphs

LOD

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

20Image source: Zeng, 2012

Milestones:1. Identify the entities.2. Put the entities into structured data.3. Clean up the newly structured data, with

local control.4. Encode the entities with standardized

KOS vocabularies (as strings).

5. Obtain URIs for names of entities provided by the LOD KOS datasets.

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The 5-star datasets in the LOD Cloud indicated the essential role of LOD KOS Vocabularies

Source: Annotated by the author on the LOD CLOUD 2014-08-30 image Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 21

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B-1 Summary For LOD Dataset Producers

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

LOD KOS vocabularies ⁃ are the source of http URIs/IRIs for named entities and concepts used in data-

transformation;⁃ empower the owners of data to

⁃ convert and publish their data under the LOD principles, with high quality and trustworthy linkages in RDF triples;

⁃ transform anyone’s database into LOD Datasets, reaching 4- and 5- stars; ⁃ create machine-understandable and machine-processable data for any users, machine or

human.

The openly available, well-established, and constantly-maintained vocabulariesare invaluable engines for the LOD datasets.

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B-2. For Website Developers

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 23

https://www.moma.org/artists/1364Images captured 2018-06-18

Example:• (my) ID àtoà (their) URI(s)

Front-end

(my) ID

“sameAs”(their) URIs

back-end

Case: MoMA

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Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 25

Results: Found websites for this ‘thing’ on the web.[ ulan: 500009365 ]

Images captured 2019-06-01

Instructions of consolidation using tools such as OpenRefine: https://www.getty.edu/research/tools/vocabularies/garcia_open_refine.pdf

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 27

CASE: A checklist of Museums and Collections with Maya Inscriptions

Made by Interdisciplinary Dictionary of Classic Mayan (Textdatenbank und Wörterbuch des Klassischen Maya) research center at the University of Bonn.

One of the corpus databases has been constructed for objects that are now housed in museums and collections.

http://mayawoerterbuch.de/museumscollections/

The website provides a resource listing all museums and collections with Mayan inscriptions worldwide.

A webpage about a museumincluding the identifiers of Getty TGN, ILAN, and GeoNames.

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Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 28

Case: Europeana

Semantic enrichment

original

Enriched by linking to other

LOD KOS

http://florentinedrawings.itatti.harvard.edu/catalog/0

001157-Berenson

“The amount of energy put into translating (from

Italian to English) and standardizing the metadata for

each record in this resource cannot be overlooked, as

Getty’s Art & Architecture Thesaurus, GeoNames and

Virtual International Authority File (VIAF) terms will

help streamline the research process.”

-- https://arlisna.org/publications/multimedia-technology-

reviews/1229-the-drawings-of-the-florentine-painters

Case: Florentine Drawings

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B-3. For Vocabulary Producers

who are involved in the development and enrichment of KOS

- LOD approaches lead to unconventional processes and results.

[We will see more tomorrow morning. Here are just two examples.]

Ø Mapping with a source vocabulary

Ø Enrich contents (concepts, labels, relationships) Ø Leafnotes, microthesaurus, shared bridges, etc.

Ø Obtain URIs from a source vocabulary Ø Consolidation using tools such as OpenRefine

Marcia Zeng - Linked Conservation Data, Stanford, June 6-7, 201931

Additional references,

bookmarks, and demos are

available on a website.

• Notes and bookmarks are available at: http://metadataetc.org/LOD/interoperability.html

Enriching the KOS-at-hand

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With the correct coding of propertiesa FAST’s controlled term • is related to a real-world entity • allows humans to gather more information about the

entity that is being described

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Case: FAST

33Marcia Zeng - Linked Conservation Data, Stanford, June 6-7, 2019

Ø Creating new value vocabularies for a particular project’s products by

extracting the components from a comprehensive KOS vocabulary

Ø a widely used approaches today as LOD gains momentum

(Instructions for AAT-based microthesaurus available at: http://metadataetc.org/LOD/6hands-on-Microthesauri-from-AAT.pdf )

ØGenerating a microthesaurus-- a designated subset of a thesaurus that is capable of functioning as a complete thesaurus

-- ISO25964-2:2013

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https://www.canada.ca/en/heritage-information-network/services/collections-documentation-standards/chin-guide-museum-standards/vocabulary-data-value.html

The units (facets, hierarchies) were recommended to

be used

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microthesauri

Image captured 2019-04-16

Microthesaurus

Marcia Zeng - Linked Conservation Data, Stanford, June 6-7, 2019

http://vocabularies.unesco.org/sparql-form/Image captured 2019-05-14 35

Case: UNESCO

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300212133(<costume by function>)

300212133 <costume by function>

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http://vocab.getty.edu/sparql

How can I get the dataset? How long will it take?

Case: AAT

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 37

Steps:Go to Getty Vocab LOD SPARQL Endpoint: http://vocab.getty.edu/sparql1. Choose ‘Queries’. 2. Choose "Descendants of a Given Parent" from the template, click. à Now, the template's text will show on the right.3. Click ‘SPARQL” to get the query text up.4. Submit

http://vocab.getty.edu/sparql1

2

3

4

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AAT descendants of 300194567 "drinking vessels".

Got the dataset in 2 seconds!

Download in a format you like.

The query can also

include scope

note, etc.

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B-4. For Researcher end-usersLOD KOS products can become knowledge bases and provide semantic-rich discoveries

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 40

Extend the functionality of the KOS beyond being the “value vocabularies”

41Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

Using well-developed KOS products, high quality and relevant knowledge bases are now available for researchers to use easily.

Ø LOD KOS can be used for Ø obtaining special graphs or datasets

for very complicated questions, andØ revealing unknown relationships.

Could a LOD KOS dataset be considered

• as a knowledge base?• as the foundation of a

network analysis? • as the building blocks of a

framework for for research in humanities and science?

Beyond being a ‘vocabulary’

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http://sparql.uniprot.org/

Example: Universal Protein Resource (UniProt)

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019 42

http://vocab.getty.edu/queries#Top-level_Subjects

One can obtaining special RDF graphs or datasets for very complicated questions, andrevealing unknown relationships

43

Example:Getty Vocabularies: LOD

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44

1

2

3

Steps: http://vocab.getty.edu/ => Queries(1) go to 4.18, (2) click on that SPARQL sign for 4.18, (3) submit.

Demo: Look for castles around The Netherlands (within the boundary of 50.787185 3.389722 53.542265 7.169019)

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

Demo: Look for castles around The Netherlands

4

(4) Download the datasets in a selected format.

Netherlands

North Holla

nd

Europe

6

5

Additional:(5) Click on any castle’s ID, (6) open the single data record for this concept. Download the dataset as you wish.

(7) You may click on the Website to see its normal html view.

7

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• Got a dataset of over 200 caves spread in various countries, all done within a few minutes.

• Each URI also brings the full data for each cave and other related information.

• The dataset is available for downloading with various formats.

“caves” within bounding box (24.75083 28.95778 43.80722 108.92861)Demo: Look for caves on or around the ancient Silk Road

47

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

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At the same query templates page

Find the section for ULAN. Ø There are many

interesting query examples.

48

http://vocab.getty.edu/queries

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

Name authorities offer foundational structured data for network analyses.

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Example:Online Coins of the Roman Empire (OCRE),http://numismatics.org/ocre/

All coin types from Augustus to Zeno (representing five centuries of Roman imperial numismatics) have been published.

OCRE incorporated 107,000+ physical coins related to these coin types from 21 different datasets.

These datasets originate from large collections as well as smaller civic or university museums, archaeological databases, and the Domuztepe excavations published through OpenContext which publishes research data on the web (Gruber 2017).[Figure 22a and 22b]https://opencontext.org/

Liberate users from unfamiliar query languages

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50

• Browse by ontological classes

• Modeling in an ontology (formed in classes, properties, relationships)

• Following Linked Data principles• Using RDF triples for entities • Querying in SPARQL language http://numismatics.org/ocre/

Liberate users from unfamiliar query languages

51http://numismatics.org/ocre/id/ric.6.lon.66

• Auto-generated data related to an object, map, and quantitative analysis.

http://numismatics.org/ocre/Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

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Visualize your queries on-the-fly

How? http://wiki.numismatics.org/numishare:visualize

• Modeling in an ontology (formed in classes, properties, relationships)

• Following Linked Data principles

• Using RDF triples for entities

• Querying in SPARQL language

Marcia Zeng - Linked Conservation Data, Stanford University, June 6-7, 2019

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• There are great and endless potential of LOD KOS.

• The semantic rich structure and high quality controlled vocabulary now can be used in an integrated manner and innovatively, beyond simply existing as controlled vocabularies or standardized name authorities.

• LOD KOS datasets should be considered as:• knowledge bases, • the foundation of network analyses, • the building blocks of a framework for research in

humanities and science.

B-4 Summary --

For Researcher end-users, LOD KOS products can become knowledge bases and provide semantic-rich discoveries.

Conclusions

Ø Although it is possible to use each available component of KOS independently, the real power lies in the skillful coordination of all. Ø The Semantic Web standards such as SKOS, OWL, RDFS, and SPARQL have paved the way

for conventional KOS to become LOD datasets. Ø There have been tremendous and continuous needs for KOS of all kinds, across domains,

and worldwide. Ø In the 21st century, the opportunities for using the semantic-rich LOD KOS are much

greater than ever before due to the fact that:Ø LOD KOS data are machine-understandable, -processable, and –actionable (instead of just

being machine-readable); Ø the Semantic Web connects things instead of strings.

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“The whole is greater than the sum of its parts”

- Aristotle*

*https://www.goodreads.com/author/quotes/2192.Aristotle

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LOD KOS Marcia Zeng Linked Conservation Data, Terminology Workshop

Stanford University, June 6-7, 2019

LOD = Linked Open Data KOS=Knowledge Organization Structures/Systems

THANK YOU!