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Meshing, Geometric Modeling and Numerical Simulation 1: Form Functions, Triangulations and Geometric Modeling
by Houman Borouchaki Paul Louis GeorgeTriangulations, and more precisely meshes, are at the heart of many problems relating to a wide variety of scientific disciplines, and in particular numerical simulations of all kinds of physical phenomena. In numerical simulations, the functional spaces of approximation used to search for solutions are defined from meshes, and in this sense these meshes play a fundamental role. This strong link between the meshes and functional spaces leads us to consider advanced simulation methods in which the meshes are adapted to the behaviors of the underlying physical phenomena. This book presents the basic elements of this meshing vision.
Meshing, Geometric Modeling and Numerical Simulation 2: Metrics, Meshes and Mesh Adaptation
by Houman Borouchaki Paul Louis George Frederic Alauzet Patrick Laug Adrien Loseille Loic MarechalTriangulations, and more precisely meshes, are at the heart of many problems relating to a wide variety of scientific disciplines, and in particular numerical simulations of all kinds of physical phenomena. In numerical simulations, the functional spaces of approximation used to search for solutions are defined from meshes, and in this sense these meshes play a fundamental role. This strong link between meshes and functional spaces leads us to consider advanced simulation methods in which the meshes are adapted to the behaviors of the underlying physical phenomena. This book presents the basic elements of this vision of meshing. These mesh adaptations are generally governed by a posteriori error estimators representing an increase of the error with respect to a size or metric. Independently of this metric of calculation, compliance with a geometry can also be calculated using a so-called geometric metric. The notion of mesh thus finds its meaning in the metric of its elements.
Meshing, Geometric Modeling and Numerical Simulation 3: Storage, Visualization and In Memory Strategies
by Paul Louis George Adrien Loseille Frédéric Alauzet Loïc MaréchalTriangulations, and more precisely meshes, are at the heart of many problems relating to a wide variety of scientific disciplines, and in particular numerical simulations of all kinds of physical phenomena. In Volume 1, the theoretical foundations relating to triangulations, finite element shape functions and their interpretations as geometric patches were explored. This has made it possible to build tools that make the geometric modeling of any object possible. These elements are used in Volume 2 to treat meshing problems in their different implementations. Meshing, Geometric Modeling and Numerical Simulation 3 offers technical additions to the methods seen in the first two volumes and a significant portion of this book is dedicated to mesh visualization problems and solutions, especially those with a high degree of complexity.
Mesoscopic Route to Time Travel
by Prosenjit Singha DeoThis book gives a general introduction to theoretically understand thermodynamic properties and response to applied fields of mesoscopic systems that closely relate to experiments. The book clarifies many conceptual and practical problems associated with the Larmor clock and thus makes it a viable approach to study these properties. The book is written pedagogically so that a graduate or undergraduate student can follow it. This book also opens up new research areas related to the unification of classical and quantum theories and the meaning of time. It provides a scientific mechanism for time travel which is of immense fascination to science as well as society. It is known that developments in mesoscopic physics can lead to downscaling of device sizes. So, new or experienced researchers can have a quick introduction to various areas in which they might contribute in the future. This book is expected to be a valuable addition to the subject of mesoscopic physics.
Messdatenauswertung im Physikalischen Praktikum: Messunsicherheit
by Thomas Bornath Günter WalterIn diesem Lehrbuch wird der Umgang mit Messdaten und ihren Unsicherheiten in knapper und anschaulicher Weise auf der Grundlage aktueller, international standardisierter Methoden (GUM: ISO/IEC 98-3:2008) dargestellt. Zum leichteren Verständnis wird der Leser in einem einleitenden Kapitel in die Grundlagen der Statistik und Wahrscheinlichkeitsrechnung mit Hilfe von anschaulichen Beispielen eingeführt. Es werden grundlegende Kenntnisse über das Wesen von Messabweichungen, über Messunsicherheit und Wahrscheinlichkeitsverteilung, die Bestimmung der kombinierten und erweiterten Messunsicherheit und über Ausgleichsrechnung vermittelt. Der Hauptteil des Buches ist auf die Auswertung von Messdaten zur unmittelbaren Anwendung im Physikalischen Praktikum gerichtet. Für die wesentlichen Typen von Messaufgaben findet der Leser eine Zusammenstellung aller nötigen Formeln zur Bestimmung des Bestwertes und der kombinierten und erweiterten Messunsicherheit sowie praktische Hinweise für die Ermittlung von Unsicherheiten nach Typ B (nichtstatistische Methode).Zahlreiche durchgerechnete Beispiele geben konkrete Anleitungen und demonstrieren, wie die Ergebnisse ins Praktikumsprotokoll eingehen und wie sie diskutiert werden.Das vorliegende Kompendium ist sowohl für Studierende in einem Bachelor- oder Lehramtsstudiengang Physik als auch für Studierende in natur- und ingenieurwissenschaftlichen Studiengängen mit Nebenfach Physik geeignet.
Messunsicherheiten – Anwendungen: Für das Physikalische Praktikum (essentials)
by Thomas Bornath Günter WalterIn diesem Buch wird die Auswertung von Messdaten mit ihren Unsicherheiten für die Anwendung im Physikalischen Praktikum dargestellt. Für die wesentlichen Typen von Messaufgaben findet der Leser eine Zusammenstellung aller nötigen Formeln zur Bestimmung des Bestwertes und der kombinierten und erweiterten Messunsicherheit sowie praktische Hinweise für die Ermittlung von Unsicherheiten nach Typ B (nichtstatistische Methode). Zahlreiche durchgerechnete Beispiele geben konkrete Anleitungen und demonstrieren, wie die Ergebnisse ins Praktikumsprotokoll eingehen und wie sie diskutiert werden. Das vorliegende Kompendium ist sowohl für Studierende in einem Bachelor- oder Lehramtsstudiengang Physik als auch für Studierende in natur- und ingenieurwissenschaftlichen Studiengängen mit Nebenfach Physik geeignet.
Messunsicherheiten – Grundlagen: Für das Physikalische Praktikum (essentials)
by Thomas Bornath Günter WalterIn diesem Buch wird der Umgang mit Messdaten und ihren Unsicherheiten in knapper und anschaulicher Weise dargestellt. Im „Leitfaden zur Angabe der Unsicherheit beim Messen“ (ISO/IEC 98-3:2008) sind die Terminologie und die Methoden für die Behandlung von Messunsicherheiten international standardisiert. Auf dieser Grundlage werden dem Leser Kenntnisse über das Wesen von Messabweichungen, über Messunsicherheit und Wahrscheinlichkeitsverteilung, die Bestimmung der kombinierten und erweiterten Messunsicherheit und über Ausgleichsrechnung vermittelt.Das vorliegende Kompendium ist sowohl für Studierende in einem Bachelor- oder Lehramtsstudiengang Physik als auch für Studierende in natur- und ingenieurwissenschaftlichen Studiengängen mit Nebenfach Physik geeignet.
Meta Math!: The Quest for Omega
by Gregory ChaitinIn Meta Math!, Gregory Chaitin, one of the world’s foremost mathematicians, leads us on a spellbinding journey of scientific discovery and illuminates the process by which he arrived at his groundbreaking theories. All of science is based on mathematics, but mathematicians have become painfully aware that math itself has serious limitations. This notion was first revealed in the work of two giants of twentieth-century mathematics: Kurt Gödel and Alan Turing. Now their successor, Gregory Chaitin, digs even deeper into the foundations of mathematics, demonstrating that mathematics is riddled with randomness, enigmas, and paradoxes. Chaitin’s revolutionary discovery, the Omega number, is an exquisitely complex representation of unknowability in mathematics. His investigations shed light on what, ultimately, we can know about the universe and the very nature of life. But if unknowability is at the core of Chaitin’s theories, the great gift of his book is its completely engaging knowability. In an infectious and enthusiastic narrative, Chaitin introduces us to his passion for mathematics at its deepest and most philosophical level, and delineates the specific intellectual and intuitive steps he took toward the discovery of Omega. In the final analysis, he shows us that mathematics is as much art as logic, as much experimental science as pure reasoning. And by the end, he has helped us to see and appreciate the art––and the sheer beauty––in the science of math. In Meta Math!, Gregory Chaitin takes us to the very frontiers of scientific thinking. It is a thrilling ride. From the Hardcover edition.
Meta-Analysis
by Mike W.-L. CheungPresents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.
Meta-Analysis for Psychologists
by Richard CookeThis textbook provides a comprehensive, user-friendly guide to meta-analysis and how to conduct it, using open source software and based on examples commonly found in the field of psychology. Meta-analysis is a key tool used in systematic literature reviews to synthesize research findings across studies, but despite being relatively straightforward to perform, it remains underused by psychologists. In the first section the reader is introduced to key ideas that underlie meta-analysis and how it might be best employed. Following this the reader is guided through how to run a meta-analysis of correlational studies and experimental studies using the free and open statistical software JAMOVI. In the concluding section Professor Cooke considers common issues, key debates and examines the relative merits of different analyses and different software packages.Covers theory, key issues and step-by-step demonstrationsIncludes examples worked examples familiar to psychologists and datasetsCompanion videos demonstrate the methods outlinedIt will provide a valuable new resource for postgraduate students and researchers in the behavioural and social sciences looking to enhance their methodological skills.
Meta-Analysis in Medicine and Health Policy (Chapman & Hall/CRC Biostatistics Series)
by Donald A. Berry Dalene K. StanglThis remarkable text raises the analysis of data in health sciences and policy to new heights of refinement and applicability by introducing cutting-edge meta-analysis strategies while reviewing more commonly used techniques. Each chapter builds on sound principles, develops methodologies to solve statistical problems, and presents concrete applications used by experienced medical practitioners and health policymakers. Written by more than 30 celebrated international experts, Meta-Analysis in Medicine and Health Policy employs copious examples and pictorial presentations to teach and reinforce biostatistical techniques more effectively and poses numerous open questions of medical and health policy research.
Meta-Analysis with R
by Guido Schwarzer James R. Carpenter Gerta RückerThis book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.
Meta-Analysis: Methods for Health and Experimental Studies (Statistics for Biology and Health)
by Shahjahan KhanThis book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. The illustrative examples are taken mainly from medical and health sciences studies, but the generic methods can be used to perform meta-analysis on data from any other discipline. The book adopts a step-by-step approach to perform meta-analyses and interpret the results. Stata codes for meta-analyses are also provided. All popularly used meta-analytic methods and models – such as the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model – are used to find the confidence interval for the effect size measure of independent primary studies and the pooled study. In addition to the commonly used meta-analytic methods for various effect size measures, the book includes special topics such as meta-regression, dose-response meta-analysis, and publication bias. The main attraction for readers is the book’s simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. Researchers would easily find everything on meta-analysis of any particular effect size in one specific chapter once they could determine the underlying effect measure. Readers will be able to see the results under different models and also will be able to select the correct model to obtain accurate results.
Meta-Ecosystem Dynamics: Understanding Ecosystems Through the Transformation and Movement of Matter (Lecture Notes on Mathematical Modelling in the Life Sciences)
by Frederic Guichard Justin MarleauThis book presents current meta-ecosystem models and their derivation from classical ecosystem and metapopulation theories. Specifically, it reviews recent modelling efforts that have emphasized the role of nonlinear dynamics on spatial and food web networks, and which have cast their implications within the context of spatial synchrony and ecological stoichiometry. It suggests that these recent advances naturally lead to a generalization of meta-ecosystem theories to spatial fluxes of matter that have both a trophic and non-trophic impact on species. Ecosystem dynamics refers to the cycling of matter and energy across ecological compartments through processes such as consumption and recycling. Spatial dynamics established its ecological roots with metapopulation theories and focuses on scaling up local ecological processes through the limited movement of individuals and matter. Over the last 15 years, theories integrating ecosystem and spatial dynamics have quickly coalesced into meta-ecosystem theories, the focus of this book. The book will be of interest to graduate students and researchers who wish to learn more about the synthesis of ecosystem and spatial dynamics, which form the foundation of the theory of meta-ecosystems.
Meta-Regression Analysis in Economics and Business (Routledge Advances In Research Methods Ser. #5)
by Hristos Doucouliagos T.D. StanleyThe purpose of this book is to introduce novice researchers to the tools of meta-analysis and meta-regression analysis and to summarize the state of the art for existing practitioners. Meta-regression analysis addresses the rising "Tower of Babel" that current economics and business research has become. Meta-analysis is the statistical analysis of previously published, or reported, research findings on a given hypothesis, empirical effect, phenomenon, or policy intervention. It is a systematic review of all the relevant scientific knowledge on a specific subject and is an essential part of the evidence-based practice movement in medicine, education and the social sciences. However, research in economics and business is often fundamentally different from what is found in the sciences and thereby requires different methods for its synthesis—meta-regression analysis. This book develops, summarizes, and applies these meta-analytic methods.
Meta-analysis and Combining Information in Genetics and Genomics (Chapman & Hall/CRC Computational Biology Series)
by Rudy Guerra Darlene R. GoldsteinNovel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-AnalysisWith the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative infor
Meta-analysis of Binary Data Using Profile Likelihood (Chapman & Hall/CRC Interdisciplinary Statistics)
by Dankmar Bohning Sasivimol Rattanasiri Ronny KuhnertProviding reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled data (MAIPD). It presents a unifying approac
Meta-heuristic Algorithms for Optimal Design of Real-Size Structures
by Ali Kaveh Majid Ilchi GhazaanThe contributions in this book discuss large-scale problems like the optimal design of domes, antennas, transmission line towers, barrel vaults and steel frames with different types of limitations such as strength, buckling, displacement and natural frequencies. The authors use a set of definite algorithms for the optimization of all types of structures. They also add a new enhanced version of VPS and information about configuration processes to all chapters. Domes are of special interest to engineers as they enclose a maximum amount of space with a minimum surface and have proven to be very economical in terms of consumption of constructional materials. Antennas and transmission line towers are the one of the most popular structure since these steel lattice towers are inexpensive, strong, light and wind resistant. Architects and engineers choose barrel vaults as viable and often highly suitable forms for covering not only low-cost industrial buildings, warehouses, large-span hangars, indoor sports stadiums, but also large cultural and leisure centers. Steel buildings are preferred in residential as well as commercial buildings due to their high strength and ductility particularly in regions which are prone to earthquakes.
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization
by Omid Bozorg-Haddad Mohammad Solgi Hugo A. LoáicigaA detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.
Metabiology: Non-standard Models, General Semantics and Natural Evolution (Studies in Applied Philosophy, Epistemology and Rational Ethics #50)
by Arturo CarsettiIn the context of life sciences, we are constantly confronted with information that possesses precise semantic values and appears essentially immersed in a specific evolutionary trend. In such a framework, Nature appears, in Monod’s words, as a tinkerer characterized by the presence of precise principles of self-organization. However, while Monod was obliged to incorporate his brilliant intuitions into the framework of first-order cybernetics and a theory of information with an exclusively syntactic character such as that defined by Shannon, research advances in recent decades have led not only to the definition of a second-order cybernetics but also to an exploration of the boundaries of semantic information. As H. Atlan states, on a biological level "the function self-organizes together with its meaning". Hence the need to refer to a conceptual theory of complexity and to a theory of self-organization characterized in an intentional sense. There is also a need to introduce, at the genetic level, a distinction between coder and ruler as well as the opportunity to define a real software space for natural evolution. The recourse to non-standard model theory, the opening to a new general semantics, and the innovative definition of the relationship between coder and ruler can be considered, today, among the most powerful theoretical tools at our disposal in order to correctly define the contours of that new conceptual revolution increasingly referred to as metabiology. This book focuses on identifying and investigating the role played by these particular theoretical tools in the development of this new scientific paradigm. Nature "speaks" by means of mathematical forms: we can observe these forms, but they are, at the same time, inside us as they populate our organs of cognition. In this context, the volume highlights how metabiology appears primarily to refer to the growth itself of our instruments of participatory knowledge of the world.
Metabolomics: Methods and Protocols (Methods in Molecular Biology #2925)
by Sanjoy K. BhattacharyaThis second edition volume brings together some of the best experts in the field of modern metabolomics to discuss the latest various techniques used to study specific metabolite classes, and metabolomics in bacterial and mammalian systems. The chapters in this book cover topics such as handling big data for metabolite identification and quantification, as well as building pathways for comparison with other omes, Isotopic Ratio Outlier Analysis (IROA) for quantitative analysis; cholesterol and derivatives in ocular tissues using LC-MS/MS methods; microbial metabolites analysis by mass spectrometry; the metabolomic study of tissues in different diseases; and NMR analysis in livestock metabolomics. It also includes several chapters on the emerging area of spatial metabolomics. Written in the highly successful Methods in Molecular Biology series format, the chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding pitfalls.Cutting-edge and authoritative, Metabolomics: Methods and Protocols, Second Edition is a valuable resource for any researcher looking to expand their knowledge about this important and advancing field.
Metabolomics: Practical Guide to Design and Analysis (Chapman & Hall/CRC Computational Biology Series)
by Ron Wehrens and Reza SalekMetabolomics is the scientific study of the chemical processes in a living system, environment and nutrition. It is a relatively new omics science, but the potential applications are wide, including medicine, personalized medicine and intervention studies, food and nutrition, plants, agriculture and environmental science. The topics presented and discussed in this book are based on the European Molecular Biology Organization (EMBO) practical courses in metabolomics bioinformatics taught to those working in the field, from masters to postgraduate students, PhDs, postdoctoral and early PIs. The book covers the basics and fundamentals of data acquisition and analytical technologies, but the primary focus is data handling and data analysis. The mentioning and usage of a particular data analysis tool has been avoided; rather, the focus is on the concepts and principles of data processing and analysis. The material has been class-tested and includes lots of examples, computing and exercises. Key Features: Provides an overview of qualitative /quantitative methods in metabolomics Offers an introduction to the key concepts of metabolomics, including experimental design and technology Covers data handling, processing, analysis, data standards and sharing Contains lots of examples to illustrate the topics Includes contributions from some of the leading researchers in the field of metabolomics with extensive teaching experiences
Metadata and Semantic Research: 13th International Conference, MTSR 2019, Rome, Italy, October 28–31, 2019, Revised Selected Papers (Communications in Computer and Information Science #1057)
by Emmanouel Garoufallou Francesca Fallucchi Ernesto William De LucaThis book constitutes the thoroughly refereed proceedings of the 13th International Conference on Metadata and Semantic Research, MTSR 2019, held in Rome, Italy, in October 2019. The 27 full and 15 short papers presented were carefully reviewed and selected from 96 submissions. The papers are organized in the following tracks: metadata and semantics for digital libraries, information retrieval, big, linked, social and open data; metadata and semantics for agriculture, food, and environment; digital humanities and digital curation; cultural collections and applications; european and national projects; metadata, identifiers and semantics in decentralized applications, blockchains and P2P systems.
Metadata and Semantic Research: 15th International Conference, MTSR 2021, Virtual Event, November 29 – December 3, 2021, Revised Selected Papers (Communications in Computer and Information Science #1537)
by Emmanouel Garoufallou María-Antonia Ovalle-Perandones Andreas VlachidisThis book constitutes the thoroughly refereed proceedings of the 15th International Conference on Metadata and Semantic Research, MTSR 2021, held as a virtual event in November-December 2021. The 27 full and 7 short papers presented were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections: metadata, linked data, semantics and ontologies - general session, and track on agriculture, food and environment; track on open repositories, research information systems and data infrastructures; track on knowledge IT artifacts (KITA) and decentralized applications, blockchains and P2P systems, and general session; track on digital humanities and digital curation, and general session; track on digital libraries, information retrieval, big, linked, social and open data; track on european and national projects, and general session; track on cultural collections and applications, and general session.
Metadata and Semantic Research: 16th Research Conference, MTSR 2022, London, UK, November 7–11, 2022, Revised Selected Papers (Communications in Computer and Information Science #1789)
by Emmanouel Garoufallou Andreas VlachidisThis book constitutes the refereed post proceedings of the 16th Research Conference onMetadata and Semantic Research, MTSR 2022, held in London, UK, during November 7–11, 2022.The 21 full papers and 4 short papers included in this book were carefully reviewed andselected from 79 submissions. They were organized in topical sections as follows: metadata, linked data, semantics and ontologies - general session, and track on Knowledge IT Artifacts (KITA), Track on digital humanities and digital curation, and track on cultural collections and applications, track on digital libraries, information retrieval, big, linked, social & open data, and metadata, linked data, semantics and ontologies - general session, track on agriculture, food & environment, and metadata, linked Data, semantics and ontologies - general, track on open repositories, research information systems & data infrastructures, and metadata, linked data, semantics and ontologies - general, metadata, linked data, semantics and ontologies - general session, and track on european and national projects.