Pesquisa de Doutorado da Veronica

Claudio Gutierrez and Juan F. Sequeda. 2021. Knowledge graphs. Commun. ACM 64, 3 (March 2021), 96–104. https://doi.org/10.1145/3418294 ========================================================================= Data was traditionally considered a material object, tied to bits, with no semantics per se. Knowledge was traditionally conceived as the immaterial object, living only in people’s minds and language. The destinies of data and knowledge became bound together, becoming almost inseparable, by the emergence of digital computing in the mid-20th century. Knowledge Graphs can be considered the coming of age of the integration of knowledge and data at large scale with heterogeneous formats. [ KG como a junção de Dados/Bits e Conhecimento/Semântica ] ... Automation of reasoning, ... connection between theorem proving and deduction in databases by developing question answering systems. Researchers recognized the process of searching in large spaces represented a form of “intelligence” o

Chaudhri, V. K., C. Baru, N. Chittar, X. L. Dong, M. Genesereth, J. Hendler, A. Kalyanpur, D. Lenat, J. Sequeda, D. Vrandečić, and K.Wang 2022. “ Knowledge graphs: Introduction, history, and perspectives. ” AI Magazine 43: 17–29. https://doi.org/10.1002/aaai.12033 Knowledge graphs (KGs) have emerged as a compelling abstraction for organizing the world’s structured knowledge and for integrating information extracted from multiple data sources. KNOWLEDGE GRAPH DEFINITION A KG is a directed labeled graph in which domain-specific meanings are associated with nodes and edges. [ Definição focado no COMO representar, diferente dos KBs ] There are multiple approaches for associating meanings with the nodes and edges. At the simplest level, the meanings could be stated as documentation strings expressed in a human understandable language such as English. At a computational level, the meanings can be expressed in a formal specification language such as first-order logic. An active area of curren