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Linked data --- Semantic Web --- Semantic computing --- Data, Linked --- Linked open data --- LOD (Linked data) --- Open linked data --- Opendata, Linked --- Metadata --- Uniform Resource Identifiers --- Computer science --- Electronic data processing --- Semantics --- Library linked data --- Open data, Linked
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This book 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:
Library metadata. --- Linked data. --- Web sémantique --- Métadonnées --- Toile sémantique. --- Manuel. --- Sciences de l'information --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Library resource metadata --- Library resources --- Library metadata --- Linked data --- Web sémantique --- Métadonnées
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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.
Information systems --- Library automation --- Computer architecture. Operating systems --- Linked data. --- User interfaces (Computer systems) --- Linked data --- Semantic Web --- Database management --- Semantic Web. --- Données liées --- Web sémantique --- Interfaces (Informatique) --- 02 --- 02 Bibliotheekwezen --- Bibliotheekwezen --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Metadata --- Uniform Resource Identifiers
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Health research around the world relies on access to data, and much of the most valuable, reliable, and comprehensive data collections are held by governments. These collections, which contain data on whole populations, are a powerful tool in the hands of researchers, especially when they are linked and analyzed, and can help to address "wicked problems" in health and emerging global threats such as COVID-19. At the same time, these data collections contain sensitive information that must only be used in ways that respect the values, interests, and rights of individuals and their communities. Sharing Linked Data for Health Research provides a template for allowing research access to government data collections in a regulatory environment designed to build social license while supporting the research enterprise.
Medical records --- Data protection --- Medicine --- Linked data --- Access control --- Law and legislation --- Research --- Government policy --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Health Workforce --- Electronic data processing --- Data governance --- Data regulation --- Personal data protection --- Protection, Data --- Communication in medicine --- Hospital records --- Clinical records --- Health records --- Hospital medical records --- Patient care records
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This book shows you how to harness the power of linked data and web-scale discovery systems to manage and link widely varied content across your library collection. Libraries are increasingly using web-scale discovery systems to help clients find a wide assortment of library materials, including books, journal articles, special collections, archival collections, videos, music and open access collections. Depending on the library material catalogued, the discovery system might need to negotiate different metadata standards, such as AACR, RDA, RAD, FOAF, VRA Core, METS, MODS, RDF and more. In Managing Metadata in Web-Scale Discovery Systems, editor Louise Spiteri and a range of international experts show you how to: * maximize the effectiveness of web-scale discovery systems * provide a smooth and seamless discovery experience to your users * help users conduct searches that yield relevant results * manage the sheer volume of items to which you can provide access, so your users can actually find what they need * maintain shared records that reflect the needs, languages, and identities of culturally and ethnically varied communities * manage metadata both within, across, and outside, library discovery tools by converting your library metadata to linked open data that all systems can access * manage user generated metadata from external services such as Goodreads and LibraryThing * mine user generated metadata to better serve your users in areas such as collection development or readers' advisory. The book will be essential reading for cataloguers, technical services and systems librarians and library and information science students studying modules on metadata, cataloguing, systems design, data management, and digital libraries. The book will also be of interest to those managing metadata in archives, museums and other cultural heritage institutions.
Information systems --- Information retrieval --- Library automation --- Metadata --- Linked data. --- Online library catalogs. --- Cataloging. --- Métadonnées --- Données liées --- Catalogues de bibliothèques en ligne --- Catalogage --- Management --- Gestion --- Management. --- Métadonnées --- Données liées --- Catalogues de bibliothèques en ligne --- Bibliotheekautomatisering --- Informatiesystemen --- Cataloguing --- Information organization --- Technical services (Libraries) --- Books --- Catalogs, On-line --- Library online catalogs --- On-line catalogs (Libraries) --- Online catalogs --- Online public access catalogs (Libraries) --- OPACs (Libraries) --- Library catalogs --- Online information services --- Data about data --- Meta-data --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Semantic Web --- Uniform Resource Identifiers --- Discovery tools. --- Discovery systems. --- Information management.
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Social tagging, hashtags, and geotags are used across a variety of platforms (Twitter, Facebook, Tumblr, WordPress, Instagram) in different countries and cultures. This book, representing researchers and practitioners across different information professions, explores how social tags can link content across a variety of environments. Most studies of social tagging have tended to focus on applications like library catalogues, blogs, and social bookmarking sites. This book, in setting out a theoretical background and the use of a series of case studies, explores the role of hashtags as a form of linked data - without the complex implementation of RDF and other Semantic Web technologies. Social Tagging for Linking Data across Environments will be useful reading for practicing library and information professionals who implement electronic access to collections, including cataloguers, systems developers, information architects and web developers. It would also be useful for students taking programmes on Library/Information science, Information Management, Computer Science, and Information Architecture.
Linked data. --- Social media. --- Libraries and museums --- Electronic information resources. --- Documentaire informatie --- Massacommunicatie --- Computerarchitectuur. Operating systems --- Documentation and information --- Mass communications --- Computer architecture. Operating systems --- World Wide Web --- Recommender systems (Information filtering) --- Subject access. --- User-generated media --- Communication --- User-generated content --- Engines, Recommendation (Information filtering) --- Recommendation engines (Information filtering) --- Recommendation systems (Information filtering) --- Systems, Recommendation (Information filtering) --- Systems, Recommender (Information filtering) --- Information filtering systems --- Subject access to the World Wide Web --- Subject retrieval on the World Wide Web --- Subject cataloging --- Web search engines --- Data, Linked --- Linked open data --- LOD (Linked data) --- Open linked data --- Opendata, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Library linked data --- Open data, Linked
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This is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource. The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to capture the metadata of language resources. Further, it includes a chapter on representing linguistic categories. In the third part of the book, the authors describe how language resources can be transformed into LD and how links can be inferred and added to the data to increase connectivity and linking between different datasets. They also discuss using LD resources for natural language processing. The last part describes concrete applications of the technologies: representing and linking multilingual wordnets, applications in digital humanities and the discovery of language resources. Given its scope, the book is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data. It appeals to Semantic Web experts who are not proficient in applying the Semantic Web and LD principles to linguistic data, as well as to computational linguists who are used to working with lexical and linguistic resources wanting to learn about a new paradigm for modelling, publishing and exploiting linguistic resources.
Knowledge representation (Information theory) . --- Natural language processing (Computer science). --- Application software. --- Knowledge based Systems. --- Natural Language Processing (NLP). --- Computer Appl. in Arts and Humanities. --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Representation of knowledge (Information theory) --- Information theory --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Semantic computing. --- Linked data. --- Data, Linked --- Linked open data --- LOD (Linked data) --- Open linked data --- Opendata, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Computer science --- Semantics --- Library linked data --- Open data, Linked
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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.
Linked data --- Métadonnées --- Données liées --- Linked data. --- Coopération entre bibliothèques et musées --- Sources d'information électroniques --- 025.4 --- metadata --- Données liées --- Libraries and museums --- Archives --- Electronic information resources. --- Information systems --- Library automation --- Computer architecture. Operating systems --- Metadata. --- Métadonnées --- Sources d'information électroniques. --- Metadata --- Documents --- Manuscript depositories --- Manuscript repositories --- Manuscripts --- Documentation --- History --- Information services --- Records --- Cartularies --- Charters --- Diplomatics --- Public records --- Museums and libraries --- Museums --- Museum libraries --- Data about data --- Meta-data --- Information organization --- Data, Linked --- Linked open data --- LOD (Linked data) --- Open linked data --- Opendata, Linked --- Semantic Web --- Uniform Resource Identifiers --- Electronic information resources --- Depositories --- Repositories --- Library linked data --- Open data, Linked --- Archivistics --- archieven --- Coopération entre bibliothèques et musées --- Sources d'information électroniques.
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Making diverse data in linguistics and the language sciences open, distributed, and accessible: perspectives from language/language acquistiion researchers and technical LOD (linked open data) researchers. This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences. With contributions by researchers who produce complex data content and scholars involved in both the technology and the conceptual foundations of LLOD (linguistics linked open data), the book focuses on the area of language acquisition because it involves complex and diverse data sets, cross-linguistic analyses, and urgent collaborative research. The contributors discuss a variety of research methods, resources, and infrastructures. Contributors Isabelle Barrir̈e, Nan Bernstein Ratner, Steven Bird, Maria Blume, Ted Caldwell, Christian Chiarcos, Cristina Dye, Suzanne Flynn, Claire Foley, Nancy Ide, Carissa Kang, D. Terence Langendoen, Barbara Lust, Brian MacWhinney, Jonathan Masci, Steven Moran, Antonio Pareja-Lora, Jim Reidy, Oya Y. Rieger, Gary F. Simons, Thorsten Trippel, Kara Warburton, Sue Ellen Wright, Claus Zinn.
Language and languages --- Linked data. --- Study and teaching. --- Research. --- Data, Linked --- Linked open data --- LOD (Linked data) --- Open linked data --- Opendata, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Foreign languages --- Languages --- Anthropology --- Communication --- Ethnology --- Information theory --- Meaning (Psychology) --- Philology --- Linguistics --- Foreign language study --- Language and education --- Language schools --- Open data, Linked --- Library linked data --- Language and languages Study and teaching --- Study and teaching --- open source --- open data --- open knowledge --- open access --- open science --- Language data and metadata --- Linguistic Linked Open Data --- research data management --- sustainability --- interoperability --- language acquisition --- linguistic annotation --- multilingualism --- communities of practice --- data-intensive research --- CHILDES --- Data Transcription and AnalysisTool --- digital curation --- preservation --- and scholarship --- knowledge infrastructure --- linguistic ontology --- linked data cloud --- metadata interchange --- metatagging --- morphosyntax --- multimedia --- Open Linguistics Working Group --- phonological development --- RDF --- standards --- stewardship --- TALKBANK --- terminology --- under-resourced languages
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This book constitutes the thoroughly refereed proceedings of the 9th Joint International Semantic Technology Conference, JIST 2019, held in Hangzhou, China, in November 2019. The 12 full papers and 12 short papers presented were carefully reviewed and selected from 70 submissions. The papers present applications of semantic technologies, theoretical results, new algorithms and tools to facilitate the adoption of semantic technologies. .
Information storage and retrieval. --- Knowledge representation (Information theory) . --- Database management. --- Application software. --- Natural language processing (Computer science). --- Information Storage and Retrieval. --- Knowledge based Systems. --- Database Management. --- Information Systems Applications (incl. Internet). --- Computer Applications. --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Representation of knowledge (Information theory) --- Information theory --- Data warehousing --- Linked data --- Data mining --- Data, Linked --- Linked open data --- LOD (Linked data) --- Open linked data --- Opendata, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Information warehousing --- Warehousing, Data --- Database management --- Management information systems --- Multidimensional databases --- Computer science --- Semantics --- Library linked data --- Open data, Linked
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