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• A false dichotomy
• Privacy, ethics, and trust
• Closed but not for business
• "Truth" and bias
• Data demands
• Future directions.

• Introduction to metadata
• Metadata strategies and quality indicators
• Metadata use cases
• Contemporary metadata principles
• Enriched and linked metadata
• Open metadata
• Filtered metadata
• FRBR, LRM and the notion of work
• Resource Description and Access (RDA)
• BIBFRAME : a new metadata framework
• Crowdsourcing and user-generated metadata

The Future of Enriched, Linked, Open and Filtered Metadata is a comprehensive and accessible guide to creating accurate, consistent, complete, user-centred and quality metadata that supports the user tasks of finding, identifying, selecting, obtaining and exploring information resources. Based on the author's many years of academic research and work as a cataloguing and metadata librarian, it shows readers how they can configure, create, enhance and enrich their metadata for print and digital resources. The book applies examples using MARC21, RDA, FRBR, BIBFRAME, subject headings and name authorities. It also uses screenshots from cutting edge library management systems, discovery interfaces and metadata tools. Coverage includes: definitions, discussions, and comparisons among MARC, FRBR, LRM, RDA, Linked Data and BIBFRAME standards and models discussion of the underlying principles and protocols of Linked Data vis-a-vis library metadata practical metadata configuration, creation, management, and cases employing cutting edge LMS, discovery interfaces, formats and tools discussion around why metadata needs to be enriched, linked, open and filtered to ensure the information resources described are discoverable and user friendly consideration of metadata as a growing and continuously enhancing, customer-focused and user-driven practice where the aim is to support users to find and retrieve relevant resources for their research and learning. This practical book uses simple and accessible language to make sense of the many existing and emerging metadata standards, models and approaches. It will be a valuable resource for anyone involved in metadata creation, management and utilisation as well as a reference for LIS students, especially those undertaking information organisation, cataloguing and metadata modules.
(source: Nielsen Book Data)

• Intro
• Title Page
• Abstract
• Acknowledgments
• Contents
• List of Figures
• List of Tables
• Chapter 1. Introduction
• Chapter 2. Large Scale Semantic Integration of Linked Data: A survey
• Chapter 3. Research Gaps & Motivating Scenarios
• Chapter 4. Cross-dataset Identity Reasoning & Semantics-aware Indexes at Global Scale
• Chapter 5. Content-based Intersection, Union and Complement Metrics Among Several Linked Datasets
• Chapter 6. The LODsyndesis Suite of Services
• Chapter 7. Conclusion
• Bibliography
• Appendix A. Publications, Systems & Useful Links

• Enquire within upon everything : The origins of linked data
• Unfunky and obsolete : From MARC to RDF
• Mothership connections : URIs and serializations
• What is a thing? : Ontologies and linked data
• Once upon a time called now : Linked data in the real world
• Tear the roof off the sucker : Linked library data
• Freaky and habit-forming : Linked data projects that even librarians can mess around with
• Epilogue : The unprovable pudding : Where is linked data in everyday library life?

Linked data has become a punchline in certain circles of the GLAM (galleries, libraries, archives, and museums) community, derided as a much-hyped project that will ultimately never come to fruition. But the fact is, linked data is already happening now, evident in projects from Big Tech and the Wikimedia Foundation as well as the web pages of library service platforms. The goal of exposing cultural institutions' records to the web is as important as ever-but for the non-technically minded, linked data can feel like a confusing morass of abstraction, jargon, and acronyms. Get conversant in linked data with this basic introduction from the Association of Library Collections and Technical Services (ALCTS). The book's expert contributors: summarize the origins of linked data, from early computers and the creation of the World Wide Web through RDF; walk readers through the practical, everyday side of creating, identifying, and representing semantically rich linked data using as an example the funk classic Mothership Connection album from the band Parliament; explain the concept of ontologies; explore such linked data projects as Open Graph, DBpedia, BIBFRAME, and Schema.org's Bib Extension; offer suggested solo and group entry-level projects for linked data-curious librarians who wish to dive deeper; and provide a handy glossary and links to additional resources. This valuable primer on linked data will enable readers at any level of experience to get quickly up to speed on this important subject.
(source: Nielsen Book Data)

• Introduction to linked data
• Deliberative and epistemic approaches to democracy
• Multilayered linked democracy
• Towards a linked democracy model
• Legal linked data ecosystems and the rule of law
• Conclusion

This open access book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic democracy, offering licensed linked data along with information about the rights involved. This model of democracy for the web of data brings new challenges for the social organisation of knowledge, collective innovation, and the coordination of actions. Licensed linked data, licensed linguistic linked data, right expression languages, semantic web regulatory models, electronic institutions, artificial socio-cognitive systems are examples of regulatory and institutional design (regulations by design). The web has been massively populated with both data and services, and semantically structured data, the linked data cloud, facilitates and fosters human-machine interaction. Linked data aims to create ecosystems to make it possible to browse, discover, exploit and reuse data sets for applications. Rights Expression Languages semi-automatically regulate the use and reuse of content. .
(source: Nielsen Book Data)

• Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences: An Introduction / Barbara C. Lust, María Blume, Antonio Pareja-Lora, and Christian Chiarcos
• 1. Open Data/Linked Data/Linked Open Data/Linguistic Linked Open Data (LLOD): A General Introduction / Christian Chiarcos and Antonio Pareja-Lora
• 2. Whither GOLD? / Terry Langendoen
• 3. Management, Sustainability, and Interoperability of Linguistic Annotations / Nancy Ide
• 4. Linguistic Linked Open Data and under-Resourced Languages: From Collection to Application / Steven Moran and Christian Chiarcos
• 5. A Data Category Repository for Language Resources / Kara Warburton and Sue Ellen Wright
• 6. Describing Research Data with CMDI/Challenges to Establish Contact with Linked Open Data / Thorsten Trippel and Claus Zinn
• 7. Expressing Language Resource Metadata as Linked Data: The Case of the Open Language Archives Community / Gary Simons and Steven Bird
• 8. TalkBank Resources for Psycholinguistic Analysis and Clinical Practice / Nan Bernstein Ratner and Brian MacWhinney
• 9. Enabling New Collaboration and Research Capabilities in Language Sciences: Management of Language Acquisition Data and Metadata with the Data Transcription and Analysis Tool / María Blume, Antonio Pareja-Lora, Suzanne Flynn, Claire Foley, Ted Caldwell, James Reidy, Jonathan Masci, and Barbara Lust
• 10. Challenges for the Development of Linked Open Data for Research in Multilingualism / María Blume, Isabelle Barrière, Cristina Dye, and Carissa Kang
• 11. Research Libraries as Partners in Ensuring the Sustainability of Escience Collaborations / Oya Rieger
• Notes
• Index

"This book confronts the challenges necessary to make wide and diverse data in linguistics and the language sciences open, distributed, integrated and accessible, thus fostering wide data sharing and collaboration. It collects reports by international scholars of current advancements in various components of the technology and conceptual foundations of Linked Open Data in Linguistics (LLOD); and integrates these with reports by researchers producing complex language data, content which requires an infrastructure for data sharing and cross-linguistic collaboration in order to address advanced scientific questions in the field. Twenty four scholars are represented. Acquisition of multilingualism is used as an example. In this way this book begins to build a community at the interface of specific research needs in the language sciences and operative LOD engineering, merging the social and technical aspects necessary to advancing the vision of LLOD in linguistics and the language sciences. Although there are volumes in the field available now on data, big data, and LOD and to a lesser degree, on LLOD (linguistic linked open data), there are none that combine both the work of the language researcher and that of the technical LOD researcher and attempt to integrate these. Furthermore, to some degree, the work of European scholars in this domain has not received significant dissemination in the US, before this volume"-- Provided by publisher

• A Proxy Service for Multi-tenant Elastic Extension Tables
• Boosting Streaming Video Delivery with WiseReplica
• A Cloud-Based, Geospatial Linked Data Management System
• A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach
• Performance Analysis of Adapting a MapReduce Framework to Dynamically Accommodate Heterogeneity
• An Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art.

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia.

• Foreword - Sebastian Chan
• 1. Introduction
• 2. Modelling
• 3. Cleaning
• 4. Reconciling
• 5. Enriching
• 6. Publishing
• 7. Conclusions.
• (source: Nielsen Book Data)

This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata creation. Libraries, archives and museums are facing up to the challenge of providing access to fast growing collections whilst managing cuts to budgets. Key to this is the creation, linking and publishing of good quality metadata as Linked Data that will allow their collections to be discovered, accessed and disseminated in a sustainable manner. This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata creation. Metadata experts Seth van Hooland and Ruben Verborgh introduce the key concepts of metadata standards and Linked Data and how they can be practically applied to existing metadata, giving readers the tools and understanding to achieve maximum results with limited resources. Readers will learn how to critically assess and use (semi-)automated methods of managing metadata through hands-on exercises within the book and on the accompanying website. Each chapter is built around a case study from institutions around the world, demonstrating how freely available tools are being successfully used in different metadata contexts. This handbook delivers the necessary conceptual and practical understanding to empower practitioners to make the right decisions when making their organisations resources accessible on the Web. Key topics include, the value of metadata; metadata creation - architecture, data models and standards; metadata cleaning; metadata reconciliation; metadata enrichment through Linked Data and named-entity recognition; importing and exporting metadata; ensuring a sustainable publishing model. This will be an invaluable guide for metadata practitioners and researchers within all cultural heritage contexts, from library cataloguers and archivists to museum curatorial staff. It will also be of interest to students and academics within information science and digital humanities fields. IT managers with responsibility for information systems, as well as strategy heads and budget holders, at cultural heritage organisations, will find this a valuable decision-making aid.
(source: Nielsen Book Data)

• Library standards and the semantic web
• Modeling library authority files
• Modeling and discovering creative works
• Entity identification through text mining
• The library linked data cloud.

This book describes OCLC's contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing `cloud' of interconnected resources that identify the things people want to know about when they approach the Internet with an information need. The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world's largest library cooperative, OCLC researchers have been active participants in the development of next-generation standards for library resource description. By engaging with an international community of library and Web standards experts, they have published some of the most widely used RDF datasets representing library collections and librarianship. This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web-accessible library catalog, but elsewhere on the Internet. Modeling data in a form that the broader Web understands will project the value of libraries into the Digital Information Age. The exposition is aimed at librarians, archivists, computer scientists, and other professionals interested in modeling bibliographic descriptions as linked data. It aims to achieve a balanced treatment of theory, technical detail, and practical application.
(source: Nielsen Book Data)

• A new model to compute semantic similarity from multi-ontology / Lan Wang, Ming Chen
• Linked data platform D2R⁺ / Qingling Chang, Shiting Xu, Yuanchun Zhou, Jing Shao, Jianhui Li, Baoping Yan
• An ontology-based approach to extracting semantic relations from descriptive text / Da Huang, Wei Hu
• Linking biomedical data for disease-SNP relation discovery / Na Hong, Qing Qian, An Fang, Sizhu Wu, Junhui Wang
• Graph compression strategies for instance-focused semantic mining / Xiaowei Jiang, Xiang Zhang, Feifei Gao, Chunan Pu, Peng Wang
• Searching semantic associations based on virtual document / Chen Wang, Xiang Zhang, Yongtao Lv, Li Ji, Peng Wang
• A semantic web information integration system based on ontology-mapping and multilevel query interface / Zhicheng Wan, Yifan Zhai, Haibo Yu
• Promoting integrated social and medical care through semantic integration and context visualization / Weijia Shen, Guotong Xie, Kavitha Srinivas, Anastasios Kementsietsidis, Jason Ellis, Thomas Erickson, Kevin McAuliffe, Gang Hu, and Wen Sun
• A subject partitioning based SPARQL query engine and its NoSQL implementation / Chuanlei Ni, Wei Hu, Yuzhong Qu
• An analysis of data quality in DBpedia and Zhishi.me / Yanfang Ma, Guilin Qi
• Multi-criteria axiom ranking based on analytic hierarchy process / Jianfeng Du, Rongfeng Jiang, Yong Hu

• Learning domain-specific ontologies from the web / Wenkai Mo, Peng Wang, Haiyue Song, Jianyu Zhao, Xiang Zhang
• Effective Chinese relation extraction by sentence rolling and candidate ranking / Meilun Sheng, Lin Qiu, Chenyang Wu, Haofen Wang, Yong Yu
• ZhishiLink : entity linking on Zhishi.me / Chenyang Wu, Haofen Wang, Jun Qu, Yong Yu
• Publishing CLOD of dangerous chemicals based on semantic MediaWiki / Hailong Deng, Jinguang Gu, Xiaochun Zheng
• Toward ontology representation and reasoning for news / Xubo Wen, Xiaoli Ma, Juanzi Li, Jeff Z. Pan, Jiayu Xie
• Pharmaceutical semantic database query mechanism based on keywords / Juan Sun, Jinguang Gu, Zhisheng Huang
• Approach for automatic construction of ontology based on medication guide / Yuting Lu, Jinguang Gu, Zhisheng Huang
• Evaluating article quality and editor reputation in Wikipedia / Yuqing Lu, Lei Zhang, Juanzi Li
• Ontology construction in Tea Pest domain / Jing Sun, Shaowen Li, Li Zhang, Chao Liu, Huiyuan Zhao, Jingui Yang
• Implementation and evaluation of a backtracking algorithm for finding all justifications in OWL 2 EL / Zhangquan Zhou, Guilin Qi
• GORS : a graph-based system for ontology revision / Yong Zhang, Xuefeng Fu, Guilin Qi
• Integration of pattern-based debugging approach into RaDON / Qiu Ji, Zhiqiang Gao, Zhisheng Huang.

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.

A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Data Linkage brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.
(source: Nielsen Book Data)

• Linked data and user interaction : an introduction / H. Frank Cervone
• Linked data beyond libraries : towards universal interfaces and knowledge unification / Paola Di Maio
• Following the user's flow in the Digital Pompidou / Emmanuelle Bermès
• Customized OPACs on the Semantic Web : the OpenCat prototype / Patrick Le Boeuf
• Using linked library data in working research notes / Ryan Shaw, Patrick Golden and Michael Buckland
• Semantically guided, situation-aware literature research / Timm Heuss, Bernhard Humm, Tilman Deuschel, Torsten Fröhlich, Thomas Herth and Oliver Mitesser
• Building interfaces on a networked graph / Niklas Lindström and Martin Malmsten
• Griffith Research Hub / Natasha Simons, Arve Solland and Jan Hettenhausen.

This collection of research papers provides extensive information on deploying services, concepts, and approaches for using open linked data from libraries and other cultural heritage institutions. With a special emphasis on how libraries and other cultural heritage institutions can create effective end user interfaces using open, linked data or other datasets. These papers are essential reading for any one interesting in user interface design or the semantic web.
(source: Nielsen Book Data)

• Web Semantics and Linked (Open) Data
• Machine Learning and Deep Learning Techniques
• Semantic Information Management and Knowledge Integration
• Terminology, Thesaurus and Ontology Management
• Data Mining and Knowledge Discovery
• Semantics in Blockchain and Distributed Ledger Technologies.

This open access book constitutes the refereed proceedings of the 15th International Conference on Semantic Systems, SEMANTiCS 2019, held in Karlsruhe, Germany, in September 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 88 submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information management and knowledge integration; terminology, thesaurus and ontology management; data mining and knowledge discovery; semantics in blockchain and distributed ledger technologies. -- Provided by publisher.