Resource Description and Access, and Library of Congress s commitment to a new bibliographic framework all point toward opportunities for shared, linked library data. In this issue of Library Technology Reports, Karen Coyle updates readers on the development of fundamental resources such as standards, data elements, and term lists, showing how they fit together. In clear, straightforward language, she introduces common Semantic Web terminology and acronyms, like RDF, triples, SKOS, OWL, and SPARQL, showing readers how to locate defined metadata elements on the Web. Coyle lists and describes 20 sources of general use data elements to use, from ISBD elements to Facebook s Open Graph, also describing numerous examples of topical lists suited to linking with library data, including subject lists, thesauri, and other controlled vocabularies. For developers and programmers, Coyle describes emerging tools that facilitate data element creation, validation of Semantic Web structures, link creation, and linked data searching.

This book constitutes the refereed proceedings of the Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, held in Shanghai, China in August 2013. The 14 revised full papers presented together with 6 short papers and 3 poster papers were carefully reviewed and selected from 48 submissions. The papers cover a wide range of topics, including semantic search, ontology reasoning, social semantic Web, knowledge graph, etc.

Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. In easy-to-understand terms, it equips you with the knowledge you need to think about Geographic Information through the lens of the Semantic Web.

With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.

Computers increasingly collect, manage, and analyze data for scholarly research. Linked data gives libraries the ability to support this e-research, making it a powerful tool. Libraries are at a tipping point in adoption of linked data, and this issue of Library Technology Reports explores current research in linked open data, explaining concepts and pioneering services, such as Five building blocks of metadata—data model, content rules, metadata schema, data serialization, and data exchange Three case studies—Europeana, Digital Public Library of America, and BIBFRAME How libraries, archives and museums are currently addressing such issues as metadata quality, open data and business models, cross community engagement, and implementation

The explosive growth in data, computational power, and social media creates new opportunities for innovating the processes and solutions of Information and communications technology (ICT) based policy-making and research. To take advantage of these developments in the digital world, new approaches, concepts, instruments and methods are needed to navigate the societal and computational complexity. This requires extensive interdisciplinary knowledge of public administration, policy analyses, information systems, complex systems and computer science. This book provides the foundation for this new interdisciplinary field, in which various traditional disciplines are blending. Both policy makers, executors and those in charge of policy implementations acknowledge that ICT is becoming more important and is changing the policy-making process, resulting in a next generation policy-making based on ICT support. Web 2.0 and even Web 3.0 point to the specific applications of social networks, semantically enriched and linked data, whereas policy-making has also to do with the use of the vast amount of data, predictions and forecasts, and improving the outcomes of policy-making, which is confronted with an increasing complexity and uncertainty of the outcomes. The field of policy-making is changing and driven by developments like open data, computational methods for processing data, opining mining, simulation and visualization of rich data sets, all combined with public engagement, social media and participatory tools.

Proceedings of the 14th edition of ArcheoFOSS, 18 high-level and peer reviewed papers are well distributed between two thematic sections—Application Cases and Development, and Open Data—contributed by more than forty Italian and foreign scholars, researchers and freelance archaeologists working in the field of Cultural Heritage.

The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data.

In the age of big data, managing and analyzing large amounts of data is becoming increasingly important. The Semantic Web, with its ability to provide a common framework for data integration and interoperability, offers a promising solution for handling big data. This book explores how the Semantic Web can be used to manage and analyze big data.

Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters. Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.