Emanuel Santos

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AgreementMaker is one of the leading ontology matching systems, thanks to its combination of a flexible and extensible framework with a comprehensive user interface. In many domains, such as the biomedical, ontologies are becoming increasingly large thus presenting new challenges. We have developed a new core framework, AgreementMakerLight, focused on(More)
Good business processes need to be up-to-date and automated to represent the organizational environment. To obtain models that reflect the changes it is necessary continuous checking between model and reality. Thus, business process model need to be modifiable and transformable in software. In order satisfy these needs we propose to apply variability(More)
Requirements engineering and architectural design are key activities for successful development of software systems. Both activities are strongly intertwined and interrelated, but many steps toward generating architecture models from requirements models are driven by intuition and architectural knowledge. Thus, systematic approaches that integrate(More)
The existence of variations in the organizational environment makes the configuration of business process models a complex activity, even for experienced business analysts. The increasing adoption of business processes models by software engineers as a input for requirements analysis strengthens the importance of adressing this issue. The challenge is to(More)
Ontology Matching aims at identifying a set of semantic correspondences, called an alignment, between related ontologies. In recent years, there has been a growing interest in efficient and effective matching methods for large ontologies. However, alignments produced for large ontologies are often logically incoherent. It was only recently that the use of(More)
To successfully integrate biomedical data it is crucial to establish meaningful relationships between the ontologies used to annotate this data. Recent developments in ontology alignment techniques, including our AgreementMakerLight system, have been successful in matching very large biomedical ontologies. However the visualization of these alignments is(More)
AgreementMakerLight (AML) is an automated ontology matching framework based on element-level matching and the use of external resources as background knowledge. This paper describes the configuration of AML for the OAEI 2014 competition and discusses its results. Our goal this year was broadening the scope of AML by delving into aspects such as translation(More)