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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 book constitutes the combined refereed proceedings of ISWC Satellite Wor shops KEKI and NLP&DBpedia 2016 which were held in conjunction with ISWC 2016 in Kobe, Japan, in October 2016. The 9 papers presented were carefully selected and reviewed from 20 submissions. They focus on the use of linguistic linked open data, the linguistic aspects of DBpedia, the improvement of of DBpedia through NLP applications, on increasing the NLP applications through integrating knowledge from DPpedia.

Computer science. --- Database management. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Text processing (Computer science). --- Computer Science. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Document Preparation and Text Processing. --- Data Mining and Knowledge Discovery. --- 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 --- Processing, Text (Computer science) --- 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 --- Informatics --- 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 --- Database management --- Information storage and retrieval systems --- Word processing --- Science --- Natural language processing (Computer science). --- Artificial Intelligence. --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- 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