Scientific Knowledge Graph for Cancer Research (SciLake Pilot)

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Authors: Pablo Accuosto, Miriam Baglioni, Serafeim Chatzopoulos, Nicolau Durán-Silva, George Gavriilidis, Daniel Hägerstrand, Konstantinos Kardamiliotis, Sotiris Kotitsas, Julián Moreno Schneider, Haris Papageorgiou, Dimitris Pappas, César A. Parra-Rojas
+7 more F. Psomopoulos, Leily Rabbani, Dimitris Roussis, Sokratis Sofianopoulos, Petros Stavropoulos, Vasileios Vasileiou, Thanasis Vergoulis
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Abstract

Authors are listed in alphabetical order. This dataset contains the Scientific Knowledge Graph of the Cancer research pilot, one of the domain pilots of the SciLake project. The graph is constructed based on the OpenAIRE SKG-IF representation, providing core entity nodes for Agents, Data sources, Grants, Products, Manifestations, Topics, and Venues. Fields of Science (FoS) and Sustainable Development Goals (SDGs), represented as Topic entities, as well as Research Artifacts and Citances, are computed by SciNoBo and provided under a CC‑BY‑NC license. Technology entities and their links to research products are provided by OPIX. Domain-specific entities, including drugs, genes, proteins, tissues, diseases, functional regions, and cellular components, are integrated from the Clinical Knowledge Graph (CKG) (users must comply with the licenses of the original sources in CKG), while cancer-specific gene-to-gene relationships are sourced from the Blood Cancer Multi-Omics (BCMO) database (LGPL license). The complete graph construction pipeline is described in detail in Section 4.5.1 of the SciLake Deliverable 3.2.

Fields of Study & Subjects

Biomedical Text Mining and Ontologies Semantic Web and Ontologies Bioinformatics and Genomic Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026
Language
EN
Document type
Dataset