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Linked Data Competency Index:
Mapping the field for teachers and learners
Thomas Baker
Dublin Core Metadata Initiative
AIM...
The Linked Data Competency Index provides:
•a concise and readable map of concepts and skills
•related to practices and te...
“Competency Index”
A thematic set of competencies organized by
•Topic
– Competency: a tweet-length phrase about knowledge ...
• Topic: Querying RDF Data
– Competency: Understands that a SPARQL query matches an RDF graph
against a pattern of triples...
• Topic: Querying RDF Data
– Competency: Understands that a SPARQL query matches an RDF graph
against a pattern of triples...
LD4PE Competency Index
Overview of topics
• Fundamentals of Resource Description
Framework
• Identity in RDF
• RDF data mo...
• Topic: Querying RDF Data
– Competency: Understands that a SPARQL query matches an RDF graph
against a pattern of triples...
Competencies
•Understands
•Knows
•Recognizes
•Differentiates ...
understanding (learning)
Benchmarks
•Uses
•Expresses
•Dem...
• Competency: Knows Web Ontology Language, or OWL (2004), an RDF
vocabulary of properties and classes that extend support ...
• Enough topics to convey a map of the domain
• Enough detail on domain competency
Other competency indexes make other des...
• NOT: Levels of difficulty
– “Basic” for a library scientist may be “difficult” for a
computer scientist (and vice versa)...
• Describe what a learner can learn.
• Describe skills that demonstrate understanding (e.g.,
homework, quizzes, exams...)....
620 resources described
http://explore.dublincore.net/explore-learning-resources-by-competency/
2017-10-11 AIMS Webinar 14
Example: YouTube video tagged using LDCI
Example: YouTube video tagged using LDCI
2017-10-11 AIMS Webinar 15
https://dcmi.github.io/ldci/D2695955/
2017-10-11 AIMS Webinar 16
2017-10-11 AIMS Webinar 17
Linked Data Competency Index in Chinese
https://dcmi.github.io/ldci-zh/D2695955-zh/
Crowdsourcing LDCI maintenance
2017-10-11 AIMS Webinar 18
Users can propose new competencies
2017-10-11 AIMS Webinar 19
• Students: help choose courses that cover what you want to
learn.
• Instructors: design a course, syllabus, homework, qui...
• Since 1800s: “industrial” classroom:
– instructors lecture (“sage on the stage”)
– students listen and take notes
– achi...
LDCI is work in progress!
Follow us on Github!
2017-10-11 AIMS Webinar 22
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Linked Data Competency Index : Mapping the field for teachers and learners

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The IMLS-funded project Linked Data for Professional Education (LD4PE) has created a "Competency Index for Linked Data".

The Index provides a concise and readable map of concepts and skills related to the practices and technologies of Linked Data for the benefit of interested learners and their teachers.

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Linked Data Competency Index : Mapping the field for teachers and learners

  1. 1. Linked Data Competency Index: Mapping the field for teachers and learners Thomas Baker Dublin Core Metadata Initiative AIMS Webinar 11 October 2017
  2. 2. The Linked Data Competency Index provides: •a concise and readable map of concepts and skills •related to practices and technologies of Linked Data •for benefit of interested learners (and teachers). Created by LD4PE Project, http://explore.dublincore.net, with generous funding from the Institute of Museum and Library Services (IMLS). 2017-10-11 AIMS Webinar 2
  3. 3. “Competency Index” A thematic set of competencies organized by •Topic – Competency: a tweet-length phrase about knowledge or skills that can be learned • Benchmark: an action that demonstrates accomplishment in a given competency 2017-10-11 AIMS Webinar 3
  4. 4. • Topic: Querying RDF Data – Competency: Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values – Competency: Understands the basic syntax of a SPARQL query • Benchmark: Uses angle brackets for delimiting URIs. • Benchmark: Uses question marks for indicating variables. • Benchmark: Uses PREFIX for base URIs. 2017-10-11 AIMS Webinar 4 Linked Data Competency Index Example
  5. 5. • Topic: Querying RDF Data – Competency: Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values – Competency: Understands the basic syntax of a SPARQL query • Benchmark:Uses angle brackets for delimiting URIs. • Benchmark: Uses question marks for indicating variables. • Benchmark: Uses PREFIX for base URIs. 2017-10-11 AIMS Webinar 5 LD4PE Competency Index Example topic
  6. 6. LD4PE Competency Index Overview of topics • Fundamentals of Resource Description Framework • Identity in RDF • RDF data model • Related data models • RDF serialization • Fundamentals of Linked Data • Web technology • Linked data principles • Linked Data policies and best practices • Non-RDF Linked Data • RDF vocabularies and application profiles • Finding RDF-based vocabularies • Designing RDF-based vocabularies • Maintaining RDF vocabularies • Versioning RDF vocabularies • Publishing RDF vocabularies • Mapping RDF vocabularies • RDF application profiles • Creating and transforming RDF Data • Managing identifiers (URIs) • Creating RDF data • Versioning RDF data • RDF data provenance • Cleaning and reconciling RDF data • Mapping and enriching RDF data • Interacting with RDF Data • Finding RDF Data • Processing RDF data using programming languages • Querying RDF Data • Visualizing RDF Data • Reasoning over RDF data • Assessing RDF data quality • RDF Data analytics • Manipulating RDF Data • Creating Linked Data applications • Storing RDF data 2017-10-11 AIMS Webinar 6 6 topic clusters 30 topics 95 competencies
  7. 7. • Topic: Querying RDF Data – Competency: Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values – Competency: Knows the basic syntax of a SPARQL query • Benchmark: Uses angle brackets for delimiting URIs. • Benchmark: Uses question marks for indicating variables. • Benchmark: Uses PREFIX for base URIs. 2017-10-11 AIMS Webinar 7 Linked Data Competency Index Competencies and benchmarks
  8. 8. Competencies •Understands •Knows •Recognizes •Differentiates ... understanding (learning) Benchmarks •Uses •Expresses •Demonstrates •Distills •Converts ... doing (exam questions, homework assignments) 2017-10-11 AIMS Webinar 8 Linked Data Competency Index Understanding / Doing
  9. 9. • Competency: Knows Web Ontology Language, or OWL (2004), an RDF vocabulary of properties and classes that extend support for expressive data modeling and automated inferencing (reasoning). • Competency: Knows that the word “ontology” is ambiguous, referring to any RDF vocabulary, but more typically a set of OWL classes and properties designed to support inferencing in a specific domain. Ideally, spells out acronyms and provides context to give non-expert readers a rough idea what they mean. 2017-10-11 AIMS Webinar 9 LD4PE Competency Index Provide context
  10. 10. • Enough topics to convey a map of the domain • Enough detail on domain competency Other competency indexes make other design choices, e.g., to support exams or ceritifcation. 2017-10-11 AIMS Webinar 10 LD4PE Competency Index What LDCI tries to cover
  11. 11. • NOT: Levels of difficulty – “Basic” for a library scientist may be “difficult” for a computer scientist (and vice versa) • NOT: Ranking or ordering topics – for the same reasons Competencies are building blocks that can be assembled into different courses or curricula. 2017-10-11 AIMS Webinar 11 LD4PE Competency Index What it does not cover
  12. 12. • Describe what a learner can learn. • Describe skills that demonstrate understanding (e.g., homework, quizzes, exams...). • Basis for: – job descriptions – course syllabi – university degrees – micro-credentials – digital badges • Tag descriptions of learning resources... 2017-10-11 AIMS Webinar 12 LD4PE Competency Index What is a competency index used for?
  13. 13. 620 resources described http://explore.dublincore.net/explore-learning-resources-by-competency/
  14. 14. 2017-10-11 AIMS Webinar 14 Example: YouTube video tagged using LDCI
  15. 15. Example: YouTube video tagged using LDCI 2017-10-11 AIMS Webinar 15
  16. 16. https://dcmi.github.io/ldci/D2695955/ 2017-10-11 AIMS Webinar 16
  17. 17. 2017-10-11 AIMS Webinar 17 Linked Data Competency Index in Chinese https://dcmi.github.io/ldci-zh/D2695955-zh/
  18. 18. Crowdsourcing LDCI maintenance 2017-10-11 AIMS Webinar 18
  19. 19. Users can propose new competencies 2017-10-11 AIMS Webinar 19
  20. 20. • Students: help choose courses that cover what you want to learn. • Instructors: design a course, syllabus, homework, quizzes, exams. • Employers: write a job description. • Self-learners: explore technologies and methods related to Linked Data. 2017-10-11 AIMS Webinar 20 LD4PE Competency Index Who can use it?
  21. 21. • Since 1800s: “industrial” classroom: – instructors lecture (“sage on the stage”) – students listen and take notes – achievement measured by a grade on the exam • Trend: learning tailored to the individual: – students watch the lectures online before class – students pursue customized learning objectives – instructors give individualized help (“guide at the side”) – learners learn at own pace – life-long learning – achievement measured in competencies acquired 2017-10-11 AIMS Webinar 21 LD4PE Competency Index Learning tailored to the individual
  22. 22. LDCI is work in progress! Follow us on Github! 2017-10-11 AIMS Webinar 22

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