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 compositionbased adaptation relying on the principle of mapping composition and (2) a diff-based adaptation algorithm individually handling change operations to update(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)
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)
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)
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)
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)
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)
Social Network Services (SNS) represent an opportunity to access information and knowledge through the Web. These systems allow individuals to constitute communities of common interests with wide cultural diversity, sharing information and vocabularies. Search engines in SNS should take info account the meanings created, shared and used by people through(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)
Inclusive Social Network Service (ISN) can be defined as a Social Network Service (SNS) with resources that promote access for all, including those in the margin of the digital culture. An ISN must include adequate means to recover information that make sense for all. A search mechanism capable of understanding the shared meanings used by the ISN users is(More)