LISTENING TO MUSIC is designed to help develop and refine the listening skills of your students and inspire a lifelong appreciation of music. Author and award-winning scholar-teacher Craig Wright, who has taught Music Appreciation courses for more than 35 years, is consistently praised by reviewers and other professors for his unparalleled accuracy and his clear, direct, conversational style. Throughout the book, Wright connects with today's students by incorporating comparisons between pop and classical music and by using examples from popular artists to illustrate core concepts. This chronological text succinctly covers traditional Western music from medieval to modern, discussing examples from each historical period within their social contexts and the construction of each piece. Later chapters cover popular music, its impact on musical globalization, and comparisons between Western and non-Western music. LISTENING TO MUSIC is the only text that provides Craig Wright's own Listening Exercises, in the book and online, which help students focus on important musical elements and episodes. A free CD, packaged with each printed copy of the text, includes all of the musical examples for the Part 1 listening exercises. A full set of optional online student resources includes Active Listening Guides, streaming music, an interactive eBook, quizzing, and more--all to challenge your students. All of the music discussed in the text is also available on CD and on Sony Music download cards. Available with InfoTrac Student Collections http://gocengage.com/infotrac.

This is the tenth volume in a series on information modelling and knowledge bases. The topics of the articles cover a wide variety of themes in the domain of information modelling, design and specification of information systems and knowledge bases, ranging from foundations and theories to systems construction and application studies. The contributions in this volume represent the following major themes: models in intelligent activity; concept modelling and conceptual modelling; conceptual modelling and information requirements specification; collections of concepts, knowledge base design, and database design; human-computer interaction and modelling; software engineering and modelling; and applications.

This is the 12th volume in a series on information modelling and knowledge bases. The topics of the articles cover a wide variety of themes in the domain of information modelling, design and specification of information systems and knowledge bases, ranging from foundations and theories to systems construction and application studies. The contributions in this volume represent the following major themes: models in intelligent activity; concept modelling and conceptual modelling; conceptual modelling and information requirements specification; collections of concepts, knowledge base design, and database design; human-computer interaction and modelling; software engineering and modelling; and applications.

Information modeling and knowledge bases are important technologies for academic and industrial research that goes beyond the traditional borders of information systems and computer science. The amount and complexity of information to be dealt with grows continually, as do the levels of abstraction and the size of databases. This book presents the proceedings of the 30th International Conference on Information Modelling and Knowledge Bases (EJC2020), due to be held in Hamburg, Germany on 8 and 9 June 2020, but instead held as a virtual conference on the same dates due to the Corona-virus pandemic restrictions. The conference provides a research forum for the exchange of scientific results and experiences, and brings together experts from different areas of computer science and other disciplines with a common interest in information modeling and knowledge bases. The subject touches on many disciplines, with philosophy and logic, cognitive science, knowledge management, linguistics and management science, as well as the emerging fields of data science and machine learning, all being relevant areas. The 23 reviewed, selected, and upgraded contributions included here are the result of presentations, comments, and discussions from the conference, and reflect the themes of the conference sessions: learning and linguistics; systems and processes; data and knowledge representation; models and interfaces; formalizations and reasoning; models and modeling; machine learning; models and programming; environment and predictions; modeling emotion; and social networks. The book provides an overview of current research and applications, and will be of interest to all those working in the field.

The technology of information modelling and knowledge bases addresses the complexities of modelling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic research in computer science. This book presents 21 papers from the 31st International conference on Information Modeling and Knowledge Bases (EJC 2021), hosted by the Department Informatik of the University of Applied Sciences in Hamburg, Germany, and held as a virtual event from 7 to 9 September 2021 due to restrictions caused by the Corona virus. The conference provides a research forum for academics and practitioners dealing with information and knowledge to exchange scientific results and experiences, and EJC 2021 covered a wide range of themes extending knowledge discovery through conceptual modeling, knowledge and information modeling and discovery, linguistic modeling, cross-cultural communication and social computing, environmental modeling and engineering, and multimedia data modeling and systems. As always, the conference was open to new topics related to its main themes, meaning the content emphasis of the EJC conferences is always able to adapt to the changes taking place in the research field, and the 21 papers included here after rigorous review, selection and upgrading are the result of presentations, comments, and discussions during the conference. Providing an up to the minute overview of the technology of information modeling and knowledge bases, the book will be of interest to all those working in the field.

The amount and complexity of information is continually growing, and information modeling and knowledge bases have become important contributors to technology and to academic and industrial research in the 21st century. They address the complexities of modeling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic computer-science research. This book presents the proceedings of EJC 2022, the 32nd International conference on Information Modeling and Knowledge Bases, held as a hybrid event due to restrictions related to the Corona virus pandemic in Hamburg, Germany, from 30 May to 3 June 2022. The aim of the conference is to bring together experts from different areas of computer science and other disciplines with a common interest in understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference has always been open to new topics related to its main themes, and the content emphasis of the conferences have changed through the years according to developments in the research field, so philosophy and logic, cognitive science, knowledge management, linguistics, and management science, as well as machine learning and AI, are also relevant areas. This book presents 19 reviewed and selected papers covering a wide range of topics, upgraded as a result of comments and discussions during the conference. Providing a current overview of recent developments, the book will be of interest to all those using information modeling and knowledge bases as part of their work.

Papers direct the focus of interest to the development and use of conceptual models in information systems of various kinds and aim at improving awareness about general or specific problems and solutions in conceptual modelling.