Efecto de la dl-metionina y la hidroxi-análoga de la dl-metionina sobre la productividad en pollos de engorde

La metionina (Met) es el aminoácido (AA) más limitante en dietas comerciales para avicultura. Durante los últimos 25 años, la DL-Met y la forma líquida del hidroxi análogo de la DL-Metionina ácido libre (MHA-FA) han sido las fuentes propuestas como suplementación en condiciones comerciales. Niveles excesivos de proteína bruta aumentan el coste y pueden perjudicar el desarrollo de las aves (Binder y Lemme, 2007). El objetivo de este ensayo fue evaluar los efectos de niveles crecientes de dos fuentes de Metionina sintética en pollos de engorde de 1 a 34 días de edad.

A Keyword-driven approach for generating OWL DL conformance test data

The conformance of semantic technologies has to be systematically evaluated to measure and verify the real adherence of these technologies to the Semantic Web standards. Currente valuations of semantic technology conformance are not exhaustive enough and do not directly cover user requirements and use scenarios, which raises the need for a simple, extensible and parameterizable method to generate test data for such evaluations. To address this need, this paper presents a keyword-driven approach for generating ontology language conformance test data that can be used to evaluate semantic technologies, details the definition of a test suite for evaluating OWL DL conformance using this approach,and describes the use and extension of this test suite during the evaluation of some tools.

SPARQL-DL queries for antipattern detection

Ontology antipatterns are structures that reflect ontology modelling problems, they lead to inconsistencies, bad reasoning performance or bad formalisation of domain knowledge. Antipatterns normally appear in ontologies developed by those who are not experts in ontology engineering. Based on our experience in ontology design, we have created a catalogue of such antipatterns in the past, and in this paper we describe how we can use SPARQL-DL to detect them. We conduct some experiments to detect them in a large OWL ontology corpus obtained from the Watson ontology search portal. Our results show that each antipattern needs a specialised detection method.