This book constitutes revised selected papers from the 13th International Conference on Data Integration in the Life Sciences, DILS 2018, held in Hannover, Germany, in November 2018.The 5 full, 8 short, 3 poster and 4 demo papers presented in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: big biomedical data integration and management; data exploration in the life sciences; biomedical data analytics; and big biomedical applications.

Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project "LOD2 -- Creating Knowledge out of Interlinked Data". LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.

The book at hand re?ects on the increasing convergence of Social Media and Semantic Web technologies. It was the editors' intention to collect - to-date and high quality contributions that illustrate various approaches to this young and emerging technology area. To guarantee this we invited be- of authors from the international conferences I-SEMANTICS and I-KNOW from the years 2007 & 2008 that took place in Graz / Austria to prepare - tended contributions that illustrate this agile and fast-evolving development and hint at trends that might accompany us for the years to come. More than 60 authors from 12 countries with either academic or industrial ba- ground provided us with 20 articles covering a broad range of topics related to frameworks, applications and concrete use cases. After more than a year of preparation we would like to thank all authors for sharing their experiences and insights with the reader. We also would like to thank them for their motivation, dedication and creativity uncompla- inglyincludingourfeedbackintotheircontributionstherebyensuringthehigh qualityofthebook. SpecialthanksalsogotoGiselaGranitzerfromtheKnow Center in Graz who accompanied the editorial process with valuable c- ments and contributionsand helped us to ?nally bringing this volume to you. Have an inspiring reading Vienna, March 23, 2009 Tassilo Pellegrini S] oren Auer Sebastian Scha?ert Klaus Tochtermann Contents Introduction NetworkedKnowledge-NetworkedMedia: -Bringingthe PiecesTogether. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Tassilo Pellegrini, Sor ] en Auer, Sebastian Scha?ert, Klaus Tochtermann FrameworksandInfrastructures RDFSupportintheVirtuosoDBMS. . . . . . . . . . . . . . . . . . . . . . . . 7 Orri Erling, Ivan Mikhailov Semantic Task Management Framework: Bridging InformationandWork. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Ernie Ong, Uwe V. Riss, Olaf Grebner, Ying Du AUTOMS-F: AFrameworkfortheSynthesisofOntology MappingMethods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ."

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

This book constitutes revised papers from the eight workshops which were held during June 2021 at the 24th International Conference on Business Information Systems, BIS 2021. The conference was planned to take place in Hannover, Germany, and changed to a fully online event due to the COVID-19 pandemic. There was a total of 67 submissions to all workshops of which 31papers were accepted for publication. The workshops included in this volume are: AKTB 2021: 12th Workshop on Applications of Knowledge-Based Technologies in Business BisEd 2021: BIS Education: Trends and Challenges DigBD 2021: 1st Workshop on Digitization in the Flux of Big Data Scenarios DigEx 2021: 3rd International Workshop on transforming the Digital Customer Experience iCRM 2021: 6th International Workshop on Integrated Social CRM QOD 2021: 4th Workshop on Quality of Open Data BITA 2021: 12th Workshop on Business and IT Alignment BSCT 2021: 4th Workshop on Blockchain and Smart Contract Technologies

This book constitutes the thoroughly refereed post-conference proceedings of the Satellite Events of the 13th European Conference on the Semantic Web, ESWC 2016, held in Heraklion, Greece, in May/June 2016. The volume contains 16 full papers and 38 poster and demonstration papers, carefully selected from 12 workshops focusing on specific research issues related to the Semantic Web.

The book at hand re?ects on the increasing convergence of Social Media and Semantic Web technologies. It was the editors' intention to collect - to-date and high quality contributions that illustrate various approaches to this young and emerging technology area. To guarantee this we invited be- of authors from the international conferences I-SEMANTICS and I-KNOW from the years 2007 & 2008 that took place in Graz / Austria to prepare - tended contributions that illustrate this agile and fast-evolving development and hint at trends that might accompany us for the years to come. More than 60 authors from 12 countries with either academic or industrial ba- ground provided us with 20 articles covering a broad range of topics related to frameworks, applications and concrete use cases. After more than a year of preparation we would like to thank all authors for sharing their experiences and insights with the reader. We also would like to thank them for their motivation, dedication and creativity uncompla- inglyincludingourfeedbackintotheircontributionstherebyensuringthehigh qualityofthebook. SpecialthanksalsogotoGiselaGranitzerfromtheKnow Center in Graz who accompanied the editorial process with valuable c- ments and contributionsand helped us to ?nally bringing this volume to you. Have an inspiring reading Vienna, March 23, 2009 Tassilo Pellegrini S] oren Auer Sebastian Scha?ert Klaus Tochtermann Contents Introduction NetworkedKnowledge-NetworkedMedia: -Bringingthe PiecesTogether. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Tassilo Pellegrini, Sor ] en Auer, Sebastian Scha?ert, Klaus Tochtermann FrameworksandInfrastructures RDFSupportintheVirtuosoDBMS. . . . . . . . . . . . . . . . . . . . . . . . 7 Orri Erling, Ivan Mikhailov Semantic Task Management Framework: Bridging InformationandWork. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Ernie Ong, Uwe V. Riss, Olaf Grebner, Ying Du AUTOMS-F: AFrameworkfortheSynthesisofOntology MappingMethods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ."

Die Herausgeber und Autoren fuhren praxisnah in neue Methoden und Technologien des (Meta-)Daten-Managements fur die Vernetzung und Integration verteilter, heterogener Datenbestande ein. Dabei werden die neuen Technologien und Methoden von bereits etablierten Ansatzen deutlich abgegrenzt, ihre Potenziale und auch ihre Grenzen klar benannt. Vor allem Semantic-Web-Technologien, deren betrieblicher Einsatz anhand anschaulicher Fallstudien erlautert wird, spielen eine zentrale Rolle."