Strategies for Sustaining Digital Libraries
by K. Skinner, M. Halbert
Publisher: Emory University Digital Library 2008
Number of pages: 123
This collection of essays on sustaining digital libraries is a report of early findings from pioneers who have worked to establish digital libraries, not merely as experimental projects, but as ongoing services and collections intended to be sustained over time in ways consistent with the long-held practices of print-based libraries. Particularly during this period of extreme technological transition, it is imperative that programs across the nation - and indeed the world - actively share their innovations, experiences, and techniques in order to begin cultivating new standard practices. The collective sentiment of the field is that we must begin to transition from a punctuated, project-based mode of advancing innovative information services to an ongoing programmatic mode of sustaining digital libraries for the long haul.
Download or read it online for free here:
by Mary-Jo Kline, Susan Holbrook Perdue - University of Virginia Press
In addition to exploring the role electronic technology plays in the editing process, this edition provides the most current treatment of the craft's fundamental issues. These include locating and collecting sources, transcribing source texts, etc.
by Ciza Thomas (ed.) - InTech
This book provides researchers in the field of ontology and information science an opportunity to share their results. It also includes the design aspects of domain ontologies considering the architecture, development strategy and selection of tools.
by Dhana Nandini - Bookboon
This book is intended for engineering students who are interested in exploring the technology of Semantic web. The book simplifies the tough concepts associated with Semantic web and can be considered as the base of the knowledge about Web 3.0.
by S. Ventura Soto, Jose M. Luna, Alberto Cano (eds) - InTech
High volumes of valuable data are generated day by day in modern organizations. The management of huge volumes of data has become a priority in these organizations, requiring new techniques for data management and analysis in Big Data environments.