Abstract. Bio2RDF is an open-source project that offers a large and connected knowledge graph of Life Science Linked Data. Each dataset is expressed using its own vocabulary, thereby hindering integration, search, query, and browse data across similar or identical types of data. With growth and content changes in source data, a manual approach to maintain mappings has proven untenable. The aim of this work is to develop a (semi)automated procedure to generate high quality mappings between Bio2RDF and SIO using BioPortal ontologies. Our preliminary results demonstrate that our approach is promising in that it can find new mappings using a transitive closure between ontology mappings. Further development of the methodology coupled with improvements in the ontology will offer a better-integrated view of the Life Science Linked Data. Keywords: biomedical data, life science, ontology, integration, semantic web, linked data, RDF, Bio2RDF, SIO Life Science Data Integration The life sciences have a long history of producing open data. Unfortunately, these data are represented using a wide variety of incompatible formats (e.g. CSV, XML, custom flat files etc.). Linked Data (LD) offers a new paradigm of using community standards to represent and provide a data in a uniform and semantic manne
