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Knowledge Graphs Course
Knowledge Graphs Course
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Description

The course provides an introduction to the topic of knowledge graphs. The basics of graph theory and the semantic web are covered. Knowledge representation through ontologies with OWL (Web Ontology Language) and queries with SPARQL are discussed. As the course follows a modular structure, it can be started according to the individual level of knowledge and can also be cancelled at certain points according to individual learning goals.
Details

URL: https://open.hpi.de/courses/knowledgegraphs2020Communities:Disciplines:Proficiency Levels:
  • Competent
  • Proficient
  • Expert

Graphentechnologien in den digitalen Geisteswissenschaften
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Graphentechnologien in den digitalen GeisteswissenschaftenThis book, which is being developed as an open book project on GitHub Pages, provides an introduction to graph technologies for researchers in the humanities. As it provides step-by-step instructions on data import, modelling and analysis of humanities research data in graphs with Neo4j, therefore it has been included as teaching material in the Educational Resource Finder.
File Format
Unknown
Languages
German
Publication Date
2017-09-15
License
CCBYSA
Authors
Keywords
#data modeling#modeling#network analysis
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Open Biological and Biomedical Ontologies (OBO) Organized Knowledge (OBOOK)
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Open Biological and Biomedical Ontologies (OBO) Organized Knowledge (OBOOK)OBO Organized Knowledge: Training materials for becoming an OBO engineer
Learning Resource Type
Web page
File Format
HTML
Languages
English
Media Type
Text
License
CC0
Authors
Keywords
#ontology engineering
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RDMLA – Research Data Management Librarian Academy
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RDMLA – Research Data Management Librarian AcademyThe Research Data Management Librarian Academy (RDMLA) is a free online training program for librarians, information professionals and other professionals working in a data-intensive environment worldwide. Within this framework, a wide range of different topics and content is offered, consisting of eight asynchronous self-paced learning units: introduction to RDM, research data lifecycle and “research culture and ecosystem”, stakeholders, project management, data visualization tools such as R and Tableau, introduction to data analysis, programming skills in Python and Jupyter Notebook, copyright, licensing and privacy issues, and curation and archiving of data. Each unit includes several components of the following three features: On an informational level, learning objectives are taught and provided in the form of video lectures, presentation slides and reading material. Case studies and interactive formats can be used to supplement the content. And after each learning unit, discussion questions and quizzes on the concept can be used as assessment methods.
File Format
Unknown
Languages
English
Publication Date
2019-10-01
License
CCBYNCSA
Authors
No Authors
Keywords
#research data management#analyzing#archiving#copyright#data curation#data life cycle#data management plan#data visualization#license#organizing#programming#project management#python#r#repository#visualization
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Knowledge Graphs Course
0
0
0
Knowledge Graphs CourseThe course provides an introduction to the topic of knowledge graphs. The basics of graph theory and the semantic web are covered. Knowledge representation through ontologies with OWL (Web Ontology Language) and queries with SPARQL are discussed. As the course follows a modular structure, it can be started according to the individual level of knowledge and can also be cancelled at certain points according to individual learning goals.
File Format
Unknown
Languages
German
Publication Date
2020-12-15
License
CCBYNCSA
Authors
Keywords
#data modeling#modeling#artificial intelligence#conceptualizing#data ingestion#dataquality#integrating#knowledge extraction#natural language processing#relational analysis#semantification
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