3 citations · 6 across the 4 of their papers we have counts for
6 papers
SciMantify -- A Hybrid Approach for the Evolving Semantification of Scientific Knowledge
Lena John, Kheir Eddine Farfar, Sören Auer +1
Scientific publications, primarily digitized as PDFs, remain static and unstructured, limiting the accessibility and reusability of the contained knowledge. At best, scientific kno…
Rosetta Statements: Simplifying FAIR Knowledge Graph Construction with a User-Centered Approach
Lars Vogt, Kheir Eddine Farfar, Pallavi Karanth +4
Machines need data and metadata to be machine-actionable and FAIR (findable, accessible, interoperable, reusable) to manage increasing data volumes. Knowledge graphs and ontologies…
Rethinking the production and publication of machine-reusable expressions of research findings
Markus Stocker, Lauren Snyder, Matthew Anfuso +6
Literature is the primary expression of scientific knowledge and an important source of research data. However, scientific knowledge expressed in narrative text documents is not in…
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG
Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou +7
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focu…
The Digitalization of Bioassays in the Open Research Knowledge Graph
Jennifer D'Souza, Anita Monteverdi, Muhammad Haris +5
Background: Recent years are seeing a growing impetus in the semantification of scholarly knowledge at the fine-grained level of scientific entities in knowledge graphs. The Open R…
Federating Scholarly Infrastructures with GraphQL
Muhammad Haris, Kheir Eddine Farfar, Markus Stocker +1
A plethora of scholarly knowledge is being published on distributed scholarly infrastructures. Querying a single infrastructure is no longer sufficient for researchers to satisfy i…