A Bootstrapping approach for Entity Linking from Biomedical Literature

Entity Linking (EL) is a task of aligning literal of a named-entity from an unstructured document to appropriate entities in a knowledge base. The main objective of EL in biomedical domain stems on construction of efficient computational models. This paper proposes a bootstrap approach based on uniformity perception and similarity computation to link entities from unstructured biomedical texts to ontologies. A rich semantic information and structures in ontologies are influenced by the proposed approach for similarity computation and entity ranking. The proposed approach address the Entity Linking in biomedical domain. The experiments show that our approach outperforms the existing state-of-the-art algorithms in terms of linkage accuracy.