Project Aim

Many crucial biomedical information resources, whether bibliographic or factual databases, are isolated from each other. Moreover, semantic meta data intended to structure their contents is supplied in a manual form only. In the StemNet project we aim at developing a framework for semantic interoperability and access to these resources. This will facilitate the extraction of relevant information from textual sources and the generation of semantic metadata in a fully automatic manner. In this way, (from a computational perspective) unstructured biomedical documents are linked to structured biological fact databases, in particular to the identifiers of genes, proteins, etc. Thus, biomedical researchers will be able to seamlessly access information from a homogeneous platform.

The biomedical focus of the StemNet project is on Hematopoietic Stem Cell Transplantation (HSCT) and Immunology. Both lie at the center of the fast-growing and crucial interface between genomic/proteomic research, on the one hand, and medical/clinical application, on the other hand. HSCT is used for a variety of malignant and nonmalignant disorders to replace a defective host marrow or immune system with a normal donor marrow and immune system.

The overall goal of the StemNet project is thus to increase the clinical success rate for HSCT by taking advantage of the comprehensive, but dispersed and heterogeneous data available in textual and database repositories.

The StemNet project is managed by the Jena University Language and Information Engineering (JULIE) Lab at Friedrich-Schiller-Universität Jena (Germany). The project is funded by the German Federal Ministry of Education and Research (BMBF) under supervision of the project management agency DLR.

Project Partners

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MHH Hannover Medical School

MHH Clarity AG

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