Transactions on Graph Data and Knowledge (TGDK) is an Open Access journal that publishes original research articles and survey articles on graph-based abstractions for data and knowledge, and the techniques that such abstractions enable with respect to integration, querying, reasoning and learning. The scope of the journal thus intersects with areas such as Graph Algorithms, Graph Databases, Graph Representation Learning, Knowledge Graphs, Knowledge Representation, Linked Data and the Semantic Web. Also in-scope for the journal is research investigating graph-based abstractions of data and knowledge in the context of Data Integration, Data Science, Information Extraction, Information Retrieval, Machine Learning, Natural Language Processing, and the Web.
The journal is Open Access without fees for readers or for authors (also known as Diamond Open Access).
Company Details
- Employees
- 2
- Founded
- -
- Industry
- Technology, Information And Media
- NAICS
-
Information
- Website
- https://www.dagstuhl.de/tgdk
- Keywords
- knowledge graphs, graph databases, semantic web, machine learning, knowledge representation, logic, artificial intelligence, data science, big data, open data, web data, graph algorithms, database theory, graph theory, natural language processing, computer science, research, journal, diamond oa.
Transactions On Graph Data And Knowledge Questions
Transactions On Graph Data And Knowledge's website is https://www.dagstuhl.de/tgdk
Transactions On Graph Data And Knowledge's LinkedIn profile is https://www.linkedin.com/company/tgdkjournal
Transactions On Graph Data And Knowledge has
2 employees.
View email and phone details for 2
employees at Transactions On Graph Data And Knowledge.
Transactions On Graph Data And Knowledge's industry is
Technology, Information and Media
Transactions On Graph Data And Knowledge's top competitors are
Toyota Material Handling Uk,
The Nobel Prize,
Vaco Binary Semantics Llp,
Semantic Lab At Pratt.
Transactions On Graph Data And Knowledge's categories are Technology, Information and Media
Transactions On Graph Data And Knowledge's founding year is 2023
