SEMEDICO is a semantic search engine designed to support literature search in the life
sciences by integrating the semantics of the domain at all stages of the search process …

Biological and medical researchers explore the mechanisms of living organisms and tend to
gain a better understanding of underlying fundamental biological processes of life. To tackle …

While literature portals in the biomedical domain already enhance their search applications
with ontological concepts, data portals offering biological primary data still use a classical …

Up until now, crucial life science information resources, whether bibliographic or factual
databases, are isolated from each other. Moreover, semantic metadata intended to structure …

Searching relevant information on the web is a main occupation of researchers nowadays.
Classical keyword-based search engines have limits. Inconsistent vocabulary used by …

In recent years, technological advances in high-throughput techniques and efficient data
gathering methods, coupled with a world-wide effort in computational biology, have resulted …

The most common Internet search engines often fail to provide the most appropriate results
according to users' quests and needs. Research in the field aims towards alternative ways to …

The large-scale biomedical semantic indexing and question-answering challenge (BioASQ)
aims at the continuous advancement of methods and tools to meet the need of biomedical …

Many valuable resources developed by world-wide research institutions and consortia
describe genomic datasets that are both open and available for secondary research, but …

Life science is a knowledge-based discipline and success in the life sciences is based on
access to knowledge. Scientists typically need to integrate a spectrum of information to …