This book provides a series of studies concerning unique medieval texts that can be defined as 'books of knowledge', such as medieval chronicles, bestiaries, or catechetic handbooks. Thus far, scholarship of intellectual history has focused on concepts of knowledge to describe a specific community, or to delimit intellectuals in society. However, the specific textual tool for the transmission of knowledge has been missing. Besides oral tradition, books and other written texts were the only sources of knowledge, and they were thus invaluable in efforts to receive or transfer knowledge. That is one reason why texts that proclaim to introduce a specific field of expertise or promise to present a summary of wisdom were so popular. These texts discussed cosmology, theology, philosophy, the natural sciences, history, and other fields. They often did so in an accessible way to maintain the potential to also attract a non-specialised public. The basic form was usually a narrative, chronologically or thematically structured, and clearly ordered to appeal to readers. Books of this kind could be disseminated in dozens or even hundreds of copies, and were often available (by translation or adaptation) in various languages, including the vernacular. In exploring these widely-disseminated and highly popular texts that offered a precise segment of knowledge that could be accessed by readers outside the intellectual and social elite, this volume intends to introduce books of knowledge as a new category within the study of medieval literacy.

This book introduces the concept of a hypothetical type of knowledge construction -- referred to as structural knowledge -- that goes beyond traditional forms of information recall to provide the bases for knowledge application. Assuming that the validity of the concept is accepted, the volume functions as a handbook for supporting the assessment and use of structural knowledge in learning and instructional settings. It's descriptions are direct and short, and its structure is consistent. Almost all of the chapters describe a technique for representing and assessing structural knowledge acquisition, conveying knowledge structures through direct instruction, or providing learners with strategies that they may use to acquire structural knowledge. These chapters include the following sections in the same sequence: * description of the technique and its theoretical or conceptual rationale * examples and applications * procedures for development and use * effectiveness -- learner interactions and differences, and advantages and disadvantages * references to the literature. The chapters are structured to facilitate access to information as well as to illuminate comparisons and contrasts among the techniques.

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Singing Times Tables Book 1 uses raps, rhymes, actions, and activities to transform learning the times tables by rote. For times tables with a special x factor, these contemporary, cool songs are the place for kids to start.

This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.

"Lift the flaps to find tips, tricks and practice questions to help you learn all the times tables up to 12x12. You can discover why the tables are so helpful, use the number machine to answer any tables question, and test your knowledge with the times tables challenge"--Page [4] of cover.