Abstract
Biomedical researchers and healthcare professionals use ontologies to annotate data for facilitating data sharing and integration. And the wide availability of ontologies in the medical domain offers the possibility of supporting multiple knowledge based applications. In their daily activities researchers and clinical investigator may need manipulating many and hence heterogeneous ontologies. We have designed and implemented ServO (Ontology Server). ServO is a tool for a fast building of ontologies repository described in the RDF and OWL standards languages. It is available as Java API and is based on IR techniques. It supports indexing multiple heterogeneous ontologies and retrieving similar entities between them. A web client prototype is implemented to showcase some functionalities of the tool.
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