María Del Carmen Legaz-García

Learn More
The generation of a semantic clinical infostructure requires linking ontologies, clinical models and terminologies [1]. Here we describe an approach that would permit data coming from different sources and represented in different standards to be queried in a homogeneous and integrated way. Our assumption is that data providers should be able to agree and(More)
INTRODUCTION The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies have frequently been used in semantic interoperability efforts. The objective of this paper is to propose a(More)
Biomedical research usually requires combining large volumes of data from multiple heterogeneous sources. Such heterogeneity makes difficult not only the generation of research-oriented dataset but also its exploitation. In recent years, the Open Data paradigm has proposed new ways for making data available in ways that sharing and integration are(More)
The amount of resources and data about orthology, together with the increasing interest in orthologs in biomedical research has triggered the need for the shareability of the content generated by the different tools and stored in the different databases. In recent years OrthoXML permitted to advance in the standardization of the content for exchange within(More)
The semantic interoperability of clinical information requires methods able to transform heterogeneous data sources from both technological and structural perspectives, into representations that facilitate the sharing of meaning. The SemanticHealthNet (SHN) project proposes using semantic content patterns for representing clinical information based on a(More)
An archetype is a formal model of a domain concept, expressed as a set of constraints based on a reference model and used in a particular domain. In clinical domains, an archetype is defined as a formal model of a clinical concept. Archetypes are considered by many researchers a fundamental tool for the achievement of semantic interoperability of electronic(More)
Traditionally, biological knowledge has been represented in an understandable way for humans, but not for machines. During the last years, the implementation and success of the Gene Ontology has influenced the development of several biological ontologies, which make it possible for machines to understand and process biological knowledge. One of such(More)
  • 1