“…CS-KG can support several intelligent services that require a high quality representation of research concepts and currently rely on alternative knowledge bases which cover a smaller number of publications (e.g., AI-KG, ORKG, Nanopublications) or offer a less granular conceptualization of the domain (Seman-ticScholar, OpenAlex, AIDA). These include systems for supporting machinereadable surveys [46,30], tools for generating research hypothesis [20] and detecting contradictory research claims [3], ontology-driven topic models (e.g., CoCoNoW [5]), recommender systems for articles (e.g., SBR [41]) and video lessons [7], visualisation frameworks (e.g., ScholarLensViz [26], ConceptScope [47]), scholarly knowledge graph embeddings (e.g., Trans4E [29]), tools for identifying domain experts (e.g., VeTo [42]), and systems for predicting research impact (e.g., ArtSim [13]).…”