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With Bib2Doi, Dagstuhl Publishing provides a new web tool that allows authors to enrich their bib-files by quickly adding DOIs, URLs, or missing metadata.
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 first 20 papers accepted this year for publication by the Leibniz Transactions on Embedded Systems (LITES) will have the usual article processing charge (APC) fully waived, i.e., authors will not be charged any publication fees thanks to sponsorship by EMSIG. Furthermore the new editorial board has taken up its work in late 2023 and is actively soliciting new submissions.
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.