• We have developed the OQuaRE framework for the evaluation of ontology quality. OQuaRE is an adaptation of the ISO 25000 SQUARE software quality standard. We have successfully applied to the evaluation of biomedical ontologies and to evaluate the ontologies produced by ontology construction guidelines. OQuaRE partnered the effort that won the First IAOA Prize for the Best Hackathon-Clinic Project@ Ontology Summit 2013:"Evaluation of OOPS!, OQuaRE and OntoQA for FIBO Ontologies".
• The limited amount of logical axioms in ontologies limits their use by machines. We are developing a method for the (semi)automatic axiomatic enrichment of biomedical ontologies. Some of our results are available at the OntoEnrich website.

Our work is mainly devoted to the use of ontologies to manage clinical archetypes and electronic healthcare records. We are currently working with both ISO 13606 and OpenEHR standards. To date, we have produced: a set of EHR-related OWL ontologies and a system to transform ADL archetypes into OWL ones and to transform archetypes and data extracts between such standards.

I am currently serving as external expert in the FP7 Semantic HealthNet

We are developing methodologies and frameworks for quality evaluation and enhancement of bio-ontologies, and tools for the semantic integration of biological information and knowledge. We have recently developed OGO and its Linked Open Data version OGOLOD, which provides the semantic integration of biomedical resources about orthology and genetic diseases. Our work “Enriching the Gene Ontology via the Dissection of Labels using the Ontology Preprocessor Language” (J.T. Fernandez-Breis, L. Iannone, I. Palmisano, A. Rector, R. Stevens) was awarded as **Best Research Paper** at EKAW 2010.

We are addressing different issues related to Semantic Web-based student assessment. On the one hand, the OeLE project attempts to evaluate automatically open questions written in natural language and using Semantic Web technologies to rank individuals in groups work and promoting self-assessment and autonomous learning. In this area, we are currently able to generate useful semantic feedback for both students and teachers and to design personalized courses based on the skills and knowledge of the person. On the other hand, the Semantic Educative Curriculum project attempts to facilitate the management of the educative curriculum by using Semantic Web technologies and accomplishing standard quality criteria.