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DDC: 004 × Subject: Knowledge Graphs ×

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    Further with Knowledge Graphs. Proceedings of the 17th International Conference on Semantic Systems
    (Berlin : AKA ; Amsterdam : IOS Press, 2021) Alam, Mehwish; Groth, Paul; de Boer, Victor; Pellegrini, Tassilo; Pandit, Harshvardhan J.; Montiel, Elena; Rodríguez-Doncel, Victor; McGillivray, Barbara; Meroño-Peñuela, Albert
    The field of semantic computing is highly diverse, linking areas such as artificial intelligence, data science, knowledge discovery and management, big data analytics, e-commerce, enterprise search, technical documentation, document management, business intelligence, and enterprise vocabulary management. As such it forms an essential part of the computing technology that underpins all our lives today. This volume presents the proceedings of SEMANTiCS 2021, the 17th International Conference on Semantic Systems. As a result of the continuing Coronavirus restrictions, SEMANTiCS 2021 was held in a hybrid form in Amsterdam, the Netherlands, from 6 to 9 September 2021. The annual SEMANTiCS conference provides an important platform for semantic computing professionals and researchers, and attracts information managers, IT­architects, software engineers, and researchers from a wide range of organizations, such as research facilities, NPOs, public administrations and the largest companies in the world. The subtitle of the 2021 conference’s was “In the Era of Knowledge Graphs”, and 66 submissions were received, from which the 19 papers included here were selected following a rigorous single-blind reviewing process; an acceptance rate of 29%. Topics covered include data science, machine learning, logic programming, content engineering, social computing, and the Semantic Web, as well as the additional sub-topics of digital humanities and cultural heritage, legal tech, and distributed and decentralized knowledge graphs. Providing an overview of current research and development, the book will be of interest to all those working in the field of semantic systems.
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    Machine Learning with Symbolic Methods and Knowledge Graphs
    (Aachen : RWTH Aachen, 2021) Alam, Mehwish; Ali, Mehdi; Groth, Paul; Hitzler, Pascal; Lehmann, Jens; Paulheim, Heiko; Rettinger, Achim; Sack, Harald; Sadeghi, Afshi; Tresp, Volker
    [no abstract available]
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    Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021)
    (Aachen : RWTH Aachen, 2021) Alam, Mehwish; Buscaldi, Davide; Cochez, Michael; Osborne, Francesco; Reforgiato Recupero, Diego, Sack, Harald
    [no abstract available]
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    Towards a Representation of Temporal Data in Archival Records: Use Cases and Requirements
    (Aachen, Germany : RWTH Aachen, 2021) Bruns, Oleksandra; Tietz, Tabea; Vafaie, Mahsa; Dessì, Danilo; Sack, Harald; Lopes, Carla Teixeira; Ribeiro, Cristina; Niccolucci, Franco; Rodrigues, Irene; Freire, Nuno
    Archival records are essential sources of information for historians and digital humanists to understand history. For modern information systems they are often analysed and integrated into Knowledge Graphs for better access, interoperability and re-use. However, due to restrictions of the representation of RDF predicates temporal data within archival records is a challenge to model. This position paper explains requirements for modeling temporal data in archival records based on running research projects in which archival records are analysed and integrated in Knowledge Graphs for research and exploration.
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    Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage
    (Aachen, Germany : RWTH Aachen, 2021) Tietz, Tabea; Bruns, Oleksandra; Göller, Sandra; Razum, Matthias; Dessì, Danilo; Sack, Harald; Paschke, Adrian; Rehm, Georg; Al Qundus, Jamal; Neudecker, Clemens; Pintscher, Lydia
    An important part in European cultural identity relies on European cities and in particular on their histories and cultural heritage. Nuremberg, the home of important artists such as Albrecht Dürer and Hans Sachs developed into the epitome of German and European culture already during the Middle Ages. Throughout history, the city experienced a number of transformations, especially with its almost complete destruction during World War 2. This position paper presents TRANSRAZ, a project with the goal to recreate Nuremberg by means of an interactive 3D tool to explore the city's architecture and culture ranging from the 17th to the 21st century. The goal of this position paper is to discuss the ongoing work of connecting heterogeneous historical data from various sources previously hidden in archives to the 3D model using knowledge graphs for a scientifically accurate interactive exploration on the Web.