Zobrazeno 1 - 10
of 15
pro vyhledávání: '"José Antonio Miñarro-Giménez"'
Autor:
Daniel Karlsson, Stefan Schulz, José Antonio Miñarro-Giménez, Kirstine Rosenbeck Gøeg, Catalina Martínez-Costa
Publikováno v:
Miñarro-Giménez, J A, Martínez-Costa, C, Karlsson, D, Schulz, S & Gøeg, K R 2018, ' Qualitative analysis of manual annotations of clinical text with SNOMED CT ', PLOS ONE, vol. 13, no. 12, e0209547 . https://doi.org/10.1371/journal.pone.0209547
PLoS ONE, Vol 13, Iss 12, p e0209547 (2018)
PLoS ONE
PLoS ONE, Vol 13, Iss 12, p e0209547 (2018)
PLoS ONE
SNOMED CT provides about 300,000 codes with fine-grained concept definitions to support interoperability of health data. Coding clinical texts with medical terminologies it is not a trivial task and is prone to disagreements between coders. We conduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f9dae46aec5cc7400fb9269e31a2989
https://vbn.aau.dk/da/publications/ede5a306-2f7e-4367-8aeb-3a12962e81bc
https://vbn.aau.dk/da/publications/ede5a306-2f7e-4367-8aeb-3a12962e81bc
Autor:
Mikel Egana-Aranguren, Jesualdo Tomás Fernández-Breis, Boris Villazón-Terrazas, José Antonio Miñarro-Giménez
Publikováno v:
Current Bioinformatics, ISSN 1574-8936, 2012, Vol. 7, No. 3
Archivo Digital UPM
instname
Archivo Digital UPM
instname
The Linked Data initiative offers a straight method to publish structured data in the World Wide Web and link it to other data, resulting in a world wide network of semantically codified data known as the Linked Open Data cloud. The size of the Linke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83f5bae06e582a332834ec36090877ce
https://doi.org/10.2174/157489312802460811
https://doi.org/10.2174/157489312802460811
Autor:
José Antonio Miñarro-Giménez, Mikel Egaña Aranguren, Marisa Madrid, Jesualdo Tomás Fernández-Breis, Rodrigo Martínez Béjar
Publikováno v:
Journal of Biomedical Informatics. 44:1020-1031
Semantic Web technologies like RDF and OWL are currently applied in life sciences to improve knowledge management by integrating disparate information. Many of the systems that perform such task, however, only offer a SPARQL query interface, which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3609e1eaec4ff6c55ee3407bda042dba
https://doi.org/10.1016/j.jbi.2011.08.002
https://doi.org/10.1016/j.jbi.2011.08.002
Autor:
Philip van Damme, Jesualdo Tomás Fernández-Breis, Nirupama Benis, Jose Antonio Miñarro-Gimenez, Nicolette F. de Keizer, Ronald Cornet
Publikováno v:
Journal of Biomedical Semantics, Vol 13, Iss 1, Pp 1-17 (2022)
Abstract Background Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable). Multiple data sources can use different ontologies for annotating their data and, thus, creating
Externí odkaz:
https://doaj.org/article/e61f525554ee464388673c537a841e5d
Autor:
María del Carmen Legaz-García, Marcos Menárguez-Tortosa, José Antonio Miñarro-Giménez, Jesualdo Tomás Fernández-Breis
Publikováno v:
Journal of Biomedical Semantics
Background Biomedical research usually requires combining large volumes of data from multiple heterogeneous sources, which makes difficult the integrated exploitation of such data. The Semantic Web paradigm offers a natural technological space for da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91d7e426dfcfa8b7ced38adbe1506820
https://pubmed.ncbi.nlm.nih.gov/27255189
https://pubmed.ncbi.nlm.nih.gov/27255189
Autor:
María del Carmen, Legaz-García, José Antonio, Miñarro-Giménez, Marcos, Menárguez-Tortosa, Jesualdo Tomás, Fernández-Breis
Publikováno v:
Studies in health technology and informatics. 210
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 Dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3127e97f47abbd10a2771b93dc1e4f4a
https://pubmed.ncbi.nlm.nih.gov/25991123
https://pubmed.ncbi.nlm.nih.gov/25991123
Autor:
María del Carmen, Legaz-García, Catalina, Martínez-Costa, José Antonio, Miñarro-Giménez, Jesualdo Tomás, Fernández-Breis, Stefan, Schulz, Marcos, Menárguez-Tortosa
Publikováno v:
Studies in health technology and informatics. 205
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 SemanticHealthNe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::04a00c94dff64bd2a94b63ec290eb1bd
https://pubmed.ncbi.nlm.nih.gov/25160342
https://pubmed.ncbi.nlm.nih.gov/25160342
Autor:
José Antonio Miñarro-Giménez, Santiago Torres Martínez, Marisa Madrid, María del Carmen Legaz-García, Jesualdo Tomás Fernández-Breis
Publikováno v:
BCB
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 ontolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::136bede09d5e438ad5e401c1788eb085
https://doi.org/10.1145/2147805.2147912
https://doi.org/10.1145/2147805.2147912
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642252730
CAEPIA
CAEPIA
Handling the increasing number of biological repositories and the growing amount of information they contain is a significant challenge for researchers. Thus, Semantic Web Technologies are the basis of the new approaches that are dealing with such ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a5615f4c9b01f9b209359b6478ea8d3
https://doi.org/10.1007/978-3-642-25274-7_48
https://doi.org/10.1007/978-3-642-25274-7_48
Autor:
Catalina Martínez-Costa, Jesualdo Tomás Fernández-Breis, Marcos Menárguez-Tortosa, José Antonio Miñarro-Giménez, Rafael Valencia-García
Publikováno v:
Knowledge-Based and Intelligent Information and Engineering Systems ISBN: 9783642153860
KES (1)
KES (1)
In the last years, a number of semantic biomedical systems have been developed. However, their query interfaces are not easy to use for biomedical researchers since they require expertise in semantic languages. Consequently, its practical usage is li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3046746cb4523c8e28e06d8b2133a05a
https://doi.org/10.1007/978-3-642-15387-7_63
https://doi.org/10.1007/978-3-642-15387-7_63