Books by "Claudia d’Amato"
2 books found
Today Mexico is viewed as a success story in the management of economic adjustment and structural reform. Inflation is under control, capital and foreign investment are returning, and out growth has increased. Mexico's recovery, however, has been neither smooth nor rapid. In mid-1982, Mexico was in deep economic crisis compounded by an unfavorable international environment. Mexico was saddled with a large foreign debt, world interest rates were high, commercial banks had stopped lending, and the price for oil was dropping. Conditions at home were no better with rampant inflation, increasing capital flight, and chaos in financial and foreign exchange markets. To confront internal imbalances and accommodate adverse external conditions, Mexico adjusted its consumption and output, then sought new ways to foster growth. The crisis and adjustment imposed great hardship and demanded enormous discipline on the part of the government. This was accomplished without serious political or social disruption. In this book, Nora Lustig analyzes Mexico's economic evolution from the outset of the debt crisis in 1982 until the sweeping reforms began to bear fruit in the early 1990s. She explains the causes of the 1982 economic crisis and why it took Mexico ""so long"" to restore stability and growth. She also explores the question of the social costs of economic crisis and adjustment, and why the process may have been easier for Mexico than other debt-ridden countries. A discussion of the emerging role of the state in Mexico and the country's new outward-oriented development strategy is followed by an analysis of its search for greater economic integration with the United States and Canada. Selected by Choice as an Outstanding Book of 1992
Knowledge Graphs
by Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d’Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel Polleres, Sabbir Rashid, Anisa Rula, Antoine Zimmermann, Lukas Schmelzeisen, Axel-Cyrille Ngonga Ngomo, Juan Sequeda, Steffen Staab
2022 · Springer Nature
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.