Abstract
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 in an enormous amount of life science data available in repositories devoted to biomedical literature. These repositories lack the ability to attain an effective and accurate search. Using semantic technologies as the key for interoperation enables searching and processing of biomedical literature in a more efficient way. However, emerging semantic applications take for granted specific knowledge that biomedical researchers may not have. This paper presents design principles for easy-to-use biomedical semantic applications by means of ontology-based annotations and faceted search. The proposed approach is backed with a usable prototype that shows the breakthroughs of adding these principles to a biomedical digital library where identifying and searching information are critical aspects for non-semantic Web experts.
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Notes
For this version, the content is not a full paper, but an abstract. BioSem may include more DC elements and terms, but these are enough for the purpose of the example.
BioSem is located at http://mendelson.gast.it.uc3m.es:3000/biosem. It is necessary to register at http://mendelson.gast.it.uc3m.es:3000/accounts/signup
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Fuentes-Lorenzo, D., Morato, J. & Gómez, J.M. Knowledge management in biomedical libraries: A semantic web approach. Inf Syst Front 11, 471–480 (2009). https://doi.org/10.1007/s10796-009-9159-y
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DOI: https://doi.org/10.1007/s10796-009-9159-y