Pesquisa de Doutorado da Veronica

Referências extraídas do artigo sobre controvérsias na WD indicado pelo professor Altigran na defesa de proposta D. Artz and Y. Gil. A survey of trust in computer science and the semantic web. Journal ofWeb Semantics, 5(2), 2010. Abstract Trust is an integral component in many kinds of human interaction, allowing people to act under uncertainty and with the risk of negative consequences. For example, exchanging money for a service, giving access to your property, and choosing between conflicting sources of information all may utilize some form of trust. In computer science, trust is a widely used term whose definition differs among researchers and application areas. Trust is an essential component of the vision for the Semantic Web, where both new problems and new applications of trust are being studied. This paper gives an overview of existing trust research in computer science and the Semantic Web  [Confiar a ponto de agir, mesmo assumindo riscos] 1. Introduction Trust is a centr...

PREMISSAS (1) Pergunta potencialmente incompleta (OK) a) Qual capital Brasil?  graph query (?v1, capital de, Brasil) ... incompleta em relação ao contexto temporal e proveniência   b) Qual capital Brasil HOJE?  graph query id1 (?v1, capital de, Brasil), (id1, período, HOJE) ... completa em relação ao contexto temporal e incompleta em relação a proveniência   c) Qual capital Brasil HOJE de acordo com a Lei Federal?  graph query id1 (?v1, capital de, Brasil), (id1, período, HOJE), (id1, fonte, ?v2), (?v2, tipo, Lei Federal) ... completa em relação ao contexto temporal e a proveniência Abordagem:   Interagir em caso de pergunta incompleta? NÃO. O usuário pode ter assumido um contexto implícito e saberia completar caso questionado mas talvez nem o usuário saiba completar o contexto da pergunta (caso da Betina). Responder sem Interagir ( One-Shot/Stateless ), completar o Contexto que foi mapeado e fornecer uma ÚNICA resposta composta por todas as Alegações Co...

Trechos do texto da minha defesa de proposta In the Big Data era, the Veracity aspect explores data's consistency, accuracy, quality, and trustworthiness. Users must decide what is relevant or not, what is reliable, and which source of information they trust to consider the information accurate and helpful in carrying out the task he has in mind. [Professor Hermann comenta sobre modelos de reputação existentes]  But what do we mean by context? For this research, we adopted the general context definition from [Hogan et al., 2021]: “ By context, we herein refer to the scope of truth, and thus talk about the context in which some data are held to be true ”. [Professor Hermann indica uma referência sobre Truth da SEP ] Glanzberg, Michael, "Truth", The Stanford Encyclopedia of Philosophy (Summer 2021 Edition), Edward N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/sum2021/entries/truth/>.  Information can be recorded through claims that represent what can b...