As a LIPIcs/OASIcs author, you will be invited by e-mail to register at the Dagstuhl Submission Server. The server will guide you through the publication workflow. Preliminary information can be found here:
Resources play an essential role in various aspects of Computer Science research. In the context of Graph Data & Knowledge, such resources may include benchmarks, datasets, engines, frameworks, interfaces, knowledge graphs, languages, ontologies, pre-trained models, standards, tools, user logs, web applications and services, etc. Unfortunately, despite the advances that such resources enable, the work invested into creating and maintaining them is often undervalued in a research setting.
In this Call for Resource Papers, we solicit submission of journal articles that describe in detail a resource relevant to research on Graph Data & Knowledge per the topics described in TGDK’s Call for Papers.
The special issue "Autonomous Systems and Knowledge Graphs" seeks novel work that tackles theoretical and engineering challenges related to human and machine autonomy benefiting from KGs.