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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:

• 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-à -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.

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 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.

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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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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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 7th Joint International Semantic Technology Conference, JIST 2017, held in Goldcoast, QLD, Australia, in November 2017.  The 19 full papers and 4 short papers presented were carefully reviewed and selected from 37 submissions. They present applications of semantic technologies, theoretical results, new algorithms and tools to facilitate the adoption of semantic technologies and are organized in topical sections on ontology and data management; ontology reasoning; linked data and query; information retrieval and knowledge discovery; knowledge graphs; and applications of semantic technologies.

Computer science. --- Mathematical logic. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Application software. --- Computer Science. --- Information Storage and Retrieval. --- Artificial Intelligence (incl. Robotics). --- Information Systems Applications (incl. Internet). --- Data Mining and Knowledge Discovery. --- Mathematical Logic and Formal Languages. --- Computer Appl. in Administrative Data Processing. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Informatics --- Computer software --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Database searching --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Science --- Information storage and retrieva. --- Information systems. --- Artificial Intelligence. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Semantic computing --- Linked data --- Semantic Web --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Metadata --- Uniform Resource Identifiers --- Computer science --- Semantics