Facilitating Access To The Web Of Data
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Facilitating Access to the Web of Data
The web is changing from a web of documents to a web of data; from a web that can be read by humans, to one that can be read by machines. These are fascinating advances for anyone interested in the changing nature of the web and the way we access information. The technologies being forged in this new landscape will provide a host of opportunities for library and information professionals to shape the information landscape of the future. This book is a wide-ranging introduction to the emerging web of data and the semantic web, exploring technologies including APIs, microformats and linked data. Its topical commentary and practical examples drawn from the international LIS community explore how information professionals can harness the power of this new phenomenon to inform strategy and become facilitators of access to data. Key topics covered include open data: a semantic web - one that's meaningful to computers data silos the semantic web- the RDF vision embedded semantics the library and the web of data the future of the librarian and the web of data. Readership: This is essential reading for library and information professionals and for LIS students and researchers. It will also be of value to information architects, web developers and all those interested in making sure that people have access to the information they need.
Practical Data Science for Information Professionals
Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code. After reading, readers will understand: · the growing importance of data science · the role of the information professional in data science · some of the most important tools and methods that information professionals can use. Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.
Advances in Conceptual Modeling – Applications and Challenges
This book constitutes the refereed proceedings of workshops, held at the 29th International Conference on Conceptual Modeling, ER 2010, in Vancouver, Canada, in November 2010. The 31 revised full papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in sections on the workshops Semantic and Conceptual Issues in GIS (SeCoGIS); Conceptual Modeling of Life Sciences Applications (CMLSA); Conceptual Modelling of Services (CMS); Active Conceptual Modeling of Learning (ACM-L); Web Information Systems Modeling (WISM); Domain Engineering (DE@ER); and Foundations and Practices of UML (FP-UML).