Júlio Cesar dos Reis

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The continuous evolution of life science ontologies requires the adaptation of their associated mappings. We propose two approaches for tackling this problem in a largely automatic way: (1) a composition-based adaptation relying on the principle of mapping composition and (2) a diff-based adaptation algorithm individually handling change operations to(More)
The contents of this report are the sole responsibility of the authors. O conteúdo do presente relatório é de única responsabilidade dos autores. Abstract Social Network Services are a reality nowadays. These systems represent a propitious virtual environment for user interaction and communication, and an opportunity for people to share information and(More)
The widespread adoption and dissemination of online news through social media systems have been revolutionizing many segments of our society and ultimately our daily lives. In these systems, users can play a central role as they share content to their friends. Despite that, little is known about news spreaders in social media. In this paper, we provide the(More)
Nowadays, Web systems generate an enormous amount of data that need to be organized, managed and retrieved in a more efficient and accurate way. Literature has brought these concerns, trying to develop techniques to allow the use of content by machines through Semantic Web technologies, such as Web ontologies. However these are still insufficient to(More)
Sentiment analysis has become a key tool for several social media applications, including analysis of user's opinions about products and services, support to politics during campaigns and even for market trending. There are multiple existing sentiment analysis methods that explore different techniques, usually relying on lexical resources or learning(More)
Mappings established between Knowledge Organization Systems (KOS) increase semantic interoperability between biomedical information systems. However, biomedical knowledge is highly dynamic and changes affecting KOS entities can potentially invalidate part or the totality of existing mappings. Understanding how mappings evolve and what the impacts of KOS(More)
The highly dynamic nature of domain ontologies has a direct impact on semantic mappings established between concepts from different ontologies. Mappings must therefore be maintained according to ongoing ontology changes. Since many software applications exploit mappings for managing information and knowledge, it is important to define appropriate adaptation(More)
BACKGROUND Mappings established between life science ontologies require significant efforts to maintain them up to date due to the size and frequent evolution of these ontologies. In consequence, automatic methods for applying modifications on mappings are highly demanded. The accuracy of such methods relies on the available description about the evolution(More)
The ever-increasing quantity of data produced in biomedical applications requires the development of intelligent tools implementing Knowledge Organization Systems (KOS) like ontologies, thesauri, or classification schemes for a better integration and exploitation of this data. However, due to the size of this application field, elements overlapping can(More)
Knowledge Organization Systems (KOSs) are extensively used in the biomedical domain to support information sharing between software applications. KOSs are proposed covering different, but overlapping subjects, and mappings indicate the semantic relation between concepts from two KOSs. Over time, KOSs change as do the mappings between them. This can result(More)