Reusing the NCBO BioPortal technology for agronomy to build AgroPortal

Many vocabularies and ontologies are produced to represent and annotate agronomic data. By reusing the NCBO BioPortal technology, we have already designed and implemented an advanced prototype ontology repository for the agronomy domain. We plan to turn that prototype into a real service to the community. The AgroPortal project aims at reusing the scientific outcomes and experience of the biomedical domain in the context of plant, agronomic, food, environment (perhaps animal) sciences. We offer an ontology portal which features ontology hosting, search, versioning, visualization, comment, recommendation, enables semantic annotation, as well as storing and exploiting ontology alignments. All of these within a fully semantic web compliant infrastructure. The AgroPortal specifically pays attention to respect the requirements of the agronomic community in terms of ontology formats (e.g., SKOS, trait dictionaries) or supported features. In this paper, we present our prototype as well as preliminary outputs of four driving agronomic use cases. With the experience acquired in the biomedical domain and building atop of an already existing technology, we think that AgroPortal offers a robust and stable reference repository that will become highly valuable for the agronomic domain

AgroPortal: a vocabulary and ontology repository for agronomy

Many vocabularies and ontologies are produced to represent and annotate agronomic data. However, those ontologies are spread out, in different formats, of different size, with different structures and from overlapping domains. Therefore, there is need for a common platform to receive and host them, align them, and enabling their use in agro-informatics applications. By reusing the National Center for Biomedical Ontologies (NCBO) BioPortal technology, we have designed AgroPortal, an ontology repository for the agronomy domain. The AgroPortal project re-uses the biomedical domain’s semantic tools and insights to serve agronomy, but also food, plant, and biodiversity sciences. We offer a portal that features ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. The AgroPortal specifically satisfies requirements of the agronomy community in terms of ontology formats (e.g., SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities). In this paper, we present our platform’s content and features, including the additions to the original technology, as well as preliminary outputs of five driving agronomic use cases that participated in the design and orientation of the project to anchor it in the community. By building on the experience and existing technology acquired from the biomedical domain, we can present in AgroPortal a robust and feature-rich repository of great value for the agronomic domain. Keyword

Statistical evaluation of biochemical data by the method of discrimination analysis. Selection of the discriminant biochemical variables. Attempted biochemical discrimination of intrahepatic cholestasis, extrahepatic obstruction and liver cancer

An original method of statistical treatment of biological data is proposed. It permits satisfactory biochemical classification of 322 patients divided up into 3 groups : intrahepatic cholestasis (235 patients), extrahepatic obstruction (44 patients) and carcinoma of the liver (43 patients). On the basis of 32 tests, it was possible to define discriminating areas permitting satisfactory diagnosis in 95 per cent of published cases. The reduction in the number of tests necessary for diagnosis was considered. The selection technic used was original to the extent that it dose not require, like most methods used today, the determination of better individual discriminators, but the establishment of a better discriminating subunit, obtained from the initial subunit composed of a group of variables. From the 32 parameters contained in the standard liver function tests, a search for a better discriminating subunit consisting of the best four tests, permitted the authors to select a group of 10 tests : bilirubin, alkaline phosphatase, 5-nucleotidase, Thymolturbidity, Cetavlon test, serum albumin, total LDH, TGP (ALAT), OCT, GLDH, of which the discriminating value remains very satisfactory

Imputabilité en toxicologie postmortem : exemple d'un travail sur la pholcodine

Date du colloque&nbsp;: 10/2008</p

Imputabilité en toxicologie postmortem : exemple d'un travail sur la pholcodine

Date du colloque&nbsp;: 10/2008</p