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Computing and database management has shifted from cottage industry-style methods — the small independent researcher keeping records for a particular project — to state-of-the-art file storage systems, presentation, and distribution over the Internet. New and emerging techniques for recognition, compilation, and data management have made managing data a discipline in its own right. Covering all aspects of this data management, Biodiversity Databases: Techniques, Politics, and Applications brings together input from social scientists, programmers, database designers, and information specialists to delineate the political setting and give institutions platforms for the dissemination of taxonomic information. A practical and logical guide to complex issues, the book explores the changes and challenges of the information age. It discusses projects developed to provide better access to all available biodiversity information. The chapters make the case for the need for representation of concepts in taxonomic databases. They explore issues involved in connecting databases with different user interfaces, the technical demands of linking databases that are not entirely uniform in structure, and the problems of user access and the control of data quality. The book highlights different approaches to addressing concerns associated with the taxonomic impediment and the low reproducibility of taxonomic data. It provides an in-depth examination of the challenge of making taxonomic information more widely available to users in the wider scientific community, in government, and the general population.

App --- Applications --- Biodiversity --- Databases --- HBK --- Politics --- Techniques

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This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Intelligent Human Computer Interaction, IHCI 2017, held in Evry, France, in December 2017.The 15 papers presented together with three invited papers were carefully reviewed and selected from 25 submissions. The conference is forum for the presentation of technological advances and research results at the crossroads of human-computer interaction, artificial intelligence, signal processing and computer vision.

brain computer interface --- artificial intelligence --- computer networks --- classification databases --- HCI machine learning --- signal processing --- user interfaces

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Databases; Software development; Computer programming; Business applications; Computer networking and communications; Operating systems; Telecommunications; Communications engineering

Databases --- Software development --- Computer programming --- Business applications --- Computer networking and communications --- Operating systems --- Telecommunications --- Communications engineering

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It constitutes the refereed proceedings of the 4th Asian Supercomputing Conference, SCFA 2018, held in Singapore in March 2018. Supercomputing Frontiers will be rebranded as Supercomputing Frontiers Asia (SCFA), which serves as the technical programme for SCA18. The technical programme for SCA18 consists of four tracks: Application, Algorithms & LibrariesProgramming System SoftwareArchitecture, Network/Communications & ManagementData, Storage & VisualisationThe 20 papers presented in this volume were carefully reviewed nd selected from 60 submissions.

artificial intelligence --- big data --- cloud computing --- communication --- computer architecture --- computer science --- computer systems --- data management --- databases --- hardware --- High-Performance Computing (HPC) --- information management --- map-reduce --- processors --- programming languages --- semantics --- wireless telecommunication systems

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This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Database Management --- Information Systems Applications (incl. Internet) --- Logic in AI --- Computer Appl. in Administrative Data Processing --- Business Information Systems --- Computer and Information Systems Applications --- Computer Application in Administrative Data Processing --- artificial intelligence --- big data --- data analytics --- data handling --- data integration --- data mining --- databases --- digital storage --- domain knowledge --- graph theory --- information management --- information technology --- integrated data --- internet --- knowledge management --- knowledge-based system --- ontologies --- semantics --- Databases --- Database programming --- Information retrieval --- Internet searching --- Artificial intelligence --- Public administration --- Information technology: general issues --- Business mathematics & systems