4 citations · 13 across the 9 of their papers we have counts for
10 papers
NERdME: a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories
Genet Asefa Gesese, Zongxiong Chen, Shufan Jiang +4
Existing scholarly information extraction (SIE) datasets focus on scientific papers and overlook implementation-level details in code repositories. README files describe datasets,…
NFDI4DS Shared Tasks for Scholarly Document Processing
Raia Abu Ahmad, Rana Abdulla, Tilahun Abedissa Taffa +18
Shared tasks are powerful tools for advancing research through community-based standardised evaluation. As such, they play a key role in promoting findable, accessible, interoperab…
Research Knowledge Graphs in NFDI4DataScience: Key Activities, Achievements, and Future Directions
Kanishka Silva, Marcel R. Ackermann, Heike Fliegl +10
As research in Artificial Intelligence and Data Science continues to grow in volume and complexity, it becomes increasingly difficult to ensure transparency, reproducibility, and d…
Neurosymbolic Methods for Dynamic Knowledge Graphs
Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris
Knowledge graphs (KGs) have recently been used for many tools and applications, making them rich resources in structured format. However, in the real world, KGs grow due to the add…
NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen +2
The NFDI4DataScience (NFDI4DS) project aims to enhance the accessibility and interoperability of research data within Data Science (DS) and Artificial Intelligence (AI) by connecti…
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
Genet Asefa Gesese, Harald Sack, Mehwish Alam
Due to the open world assumption, Knowledge Graphs (KGs) are never complete. In order to address this issue, various Link Prediction (LP) methods are proposed so far. Some of these…
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals
Cristian Santini, Genet Asefa Gesese, Silvio Peroni +3
Scholarly data is growing continuously containing information about the articles from a plethora of venues including conferences, journals, etc. Many initiatives have been taken to…
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction
Genet Asefa Gesese, Mehwish Alam, Harald Sack
Most Knowledge Graphs (KGs) contain textual descriptions of entities in various natural languages. These descriptions of entities provide valuable information that may not be expli…
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
Genet Asefa Gesese, Russa Biswas, Mehwish Alam +1
Knowledge Graphs (KGs) are composed of structured information about a particular domain in the form of entities and relations. In addition to the structured information KGs help in…