Practical Data Science for Information Professionals
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The growing importance of data science, and the increasing role of information professionals in the management and use of data, are brought together in Practical Data Science for Information Professionals to provide a practical introduction specifically designed for information professionals.
Data science has a wide range of applications within the information profession, from working alongside researchers in the discovery of new knowledge, to the application of business analytics for the smoother running of a library or library services. Practical Data Science for Information Professionals provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject.
This book will be of interest to all types of libraries around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, the book aims to reduce barriers for readers to use the lessons learned within.
Table of Contents
1. What is an Ontology? 2. Ontologies and the Semantic Web 3. Existing Ontologies 4. Adopting Ontologies 5. Building Ontologies 6. Interrogating Ontologies 7. The Future of Ontologies and the Information Professional
David Stuartis an independent information professional and an honorary research fellow at the University of Wolverhampton, and was previously a research fellow at King's College London and the University of Wolverhampton. He regularly publishes in peer-reviewed academic journals and professional journals on information science, metrics, and semantic web technologies, and in 2015 began writing a regular column for the journal Online Information Review called 'Taming Metrics'. He has previously published Web Metrics for Library and Information Professionals (Facet Publishing, 2014) and Facilitating Access to the Web of Data (Facet Publishing, 2011).