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Huge efforts are currently underway to address the organization of biological knowledge through linked open databases. These databases can be automatically queried to reconstruct regulatory and signaling networks. However, assembling networks implies manual operations due to source-specific identification of biological entities and relationships, multiple life-science databases with redundant information and the difficulty of recovering logical flows in biological pathways. We propose adoi:10.1093/database/baaa113 pmid:33459761 pmcid:PMC7812716 fatcat:qtxpgtgljvb4hdmck6i3w4yzwy