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20202026
most citedKnowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

9 citations · 34 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.AI2026

LLM-Assisted Ontology Engineering and Construction of a French Legal Knowledge Graph

G{é}nesis Montenegro, Mokhtar Boumedyen Billami, Catherine Faron +2

Maintenance regulations are complex legal texts that are difficult to exploit when addressing a specific case and challenging to integrate into operational systems. This paper pres…

cs.AI2026

Which Are the Low-Resource Languages of the Semantic Web?

Ndeye-Emilie Mbengue, Pierre Monnin, Miguel Couceiro +1

Emerging digital technologies are exacerbating the existing divide in Open Access Data (OAD) between high-and low-resource languages, excluding many communities from the global dig…

cs.AI2024

KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning

Pierre Monnin, Cherif-Hassan Nousradine, Lucas Jarnac +2

Knowledge graphs (KGs) have become ubiquitous publicly available knowledge sources, and are nowadays covering an ever increasing array of domains. However, not all knowledge repres…

cs.AI2023★ 3 cited

Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs

Nicolas Hubert, Pierre Monnin, Heiko Paulheim

Knowledge graphs (KGs) comprise entities interconnected by relations of different semantic meanings. KGs are being used in a wide range of applications. However, they inherently su…

cs.AI2023★ 9 cited

Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

Jiaoyan Chen, Hang Dong, Janna Hastings +6

The term life sciences refers to the disciplines that study living organisms and life processes, and include chemistry, biology, medicine, and a range of other related disciplines.…

cs.AI2023★ 1 cited

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Nicolas Hubert, Pierre Monnin, Mathieu d'Aquin +2

Knowledge graphs (KGs) have emerged as a prominent data representation and management paradigm. Being usually underpinned by a schema (e.g., an ontology), KGs capture not only fact…

cs.AI2023★ 6 cited

Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning

Lucas Jarnac, Miguel Couceiro, Pierre Monnin

Knowledge Graph Construction (KGC) can be seen as an iterative process starting from a high quality nucleus that is refined by knowledge extraction approaches in a virtuous loop. S…

cs.AI2023★ 2 cited

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE

Nicolas Hubert, Heiko Paulheim, Pierre Monnin +2

Knowledge graph embedding models (KGEMs) have gained considerable traction in recent years. These models learn a vector representation of knowledge graph entities and relations, a.…

cs.AI2020★ 4 cited

Knowledge-Based Matching of -ary Tuples

Pierre Monnin, Miguel Couceiro, Amedeo Napoli +1

An increasing number of data and knowledge sources are accessible by human and software agents in the expanding Semantic Web. Sources may differ in granularity or completeness, and…