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To date, the relation between multilingualism and the Semantic Web has not yet received enough attention in the research community. One major challenge for the Semantic Web community is to develop architectures, frameworks and systems that can help in overcoming national and language barriers, facilitating equal access to information produced in different cultures and languages. As such, this volume aims at documenting the state-of-the-art with regard to the vision of a Multilingual Semantic Web, in which semantic information will be accessible in and across multiple languages. The Multilingual Semantic Web as envisioned in this volume will support the following functionalities:  (1) responding to information needs in any language with regard to semantically structured data available on the Semantic Web and Linked Open Data (LOD) cloud, (2) verbalizing and accessing semantically structured data, ontologies or other conceptualizations in multiple languages, (3) harmonizing, integrating, aggregating, comparing and repurposing semantically structured data across languages, and (4) aligning and reconciling ontologies or other conceptualizations across languages. The volume is divided into three main sections: Principles, Methods and Applications. The section on “Principles” discusses models, architectures, and methodologies that enrich the current Semantic Web architecture with features necessary to handle multiple languages. The section on “Methods” describes algorithms and approaches for solving key issues related to the construction of the Multilingual Semantic Web. The section on “Applications” describes the use of Multilingual Semantic Web based approaches in the context of several  application domains. This volume is essential reading for all academic and industrial researchers who want to embark on this new research field at the intersection of various research topics, including the Semantic Web, Linked Data, natural language processing, computational linguistics, terminology, and information retrieval. It will also be of great interest to practitioners who are interested in re-examining their existing infrastructure and methodologies for handling multiple languages in Web applications or information retrieval systems.

Semantic Web. --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Artificial intelligence. --- Computational linguistics. --- Information storage and retrieva. --- Computer science. --- Artificial Intelligence. --- Computational Linguistics. --- Information Storage and Retrieval. --- User Interfaces and Human Computer Interaction. --- Informatics --- Science --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data processing --- 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 --- Information storage and retrieval. --- User interfaces (Computer systems). --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Information organization. --- Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Organization of information --- User interfaces (Computer systems)

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This book constitutes the proceedings of the 7th International Information Retrieval Facility Conference, IRFC 2014, held in Copenhagen, Denmark, November 2014. The 10 papers presented together with one industry paper were carefully reviewed and selected from 13 submissions. The conference aims at bringing young researchers into contact with the industry at an early stage, emphasizing the applicability of IR solutions to real industry cases and the respective challenges.

Information retrieval --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- IR (information retrieval) --- computers --- informatiesystemen --- database management --- KI (kunstmatige intelligentie) --- computerkunde --- robots --- AI (artificiële intelligentie)

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Computational linguistics --- Information retrieval --- Knowledge acquisition (Expert systems) --- Natural language processing (Computer science) --- Ontology --- Semantic Web

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Expert systems (Computer science). --- Expertsystemen. --- Information retrieval. --- Kennisverwerving. --- Knowledge acquisition (Expert systems). --- Ontologie. --- Ontology.

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This book constitutes the proceedings of the First International Conference on Language, Data and Knowledge, LDK 2017, held in Galway, Ireland, in June 2017. The 14 full papers and 19 short papers included in this volume were carefully reviewed and selected from 68 initial submissions. They deal with language data; knowledge graphs; applications in NLP; and use cases in digital humanities, social sciences, and BioNLP.

Computer science. --- Mathematical logic. --- Artificial intelligence. --- Text processing (Computer science). --- Computational linguistics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Language Translation and Linguistics. --- Document Preparation and Text Processing. --- Information Systems Applications (incl. Internet). --- Mathematical Logic and Formal Languages. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Processing, Text (Computer science) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Informatics --- Data processing --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Science --- Natural language processing (Computer science). --- Artificial Intelligence. --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Logic, Symbolic and mathematical. --- Computer science --- Research. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software