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The Semantic Web is a Web defined and linked in a way that it can be used by machines not just for display purposes, but also for automation, integration and reuse of data across various applications. In order for computers to provide more help to people, the Semantic Web augments the current Web with formalized knowledge and data that can be processed by computers. It thus needs a language for expressing knowledge. This knowledge is used to describe the content of information sources, through ontologies, and the condition of operation of Web services. This work presents the state-of-the-art i
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Dienstorientierte Architekturen werden ihr volles Potenzial nur dann entfalten können, wenn es gelingt, Dienste fallweise und zur Laufzeit einzubinden. Hierdurch entstünde eine weitaus robustere und besser an den Kontext angepasste Architektur, da ungeeignete Dienstgeber dynamisch ausgetauscht werden könnten. Ziel der Arbeit war daher die Schaffung einer semantischen Dienstbeschreibungssprache, die als Grundlage für eine solche Dienstnutzung dienen kann.
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"Many web pages include structured data in the form of semantic markup, which can be transferred to the Resource Description Framework (RDF) or provide an interface to retrieve RDF data directly. This RDF data enables machines to automatically process and use the data. When applications need data from more than one source the data has to be integrated, and the automation of this can be challenging. Usually, vocabularies are used to concisely describe the data, but because of the decentralized nature of the web, multiple data sources can provide similar information with different vocabularies, making integration more difficult. This book, Multi-modal Data Fusion based on Embeddings, describes how similar statements about entities can be identified across sources, independent of the vocabulary and data modeling choices. Previous approaches have relied on clean and extensively modeled ontologies for the alignment of statements, but the often noisy data in a web context does not necessarily adhere to these prerequisites. In this book, the use of RDF label information of entities is proposed to tackle this problem. In combination with embeddings, the use of label information allows for a better integration of noisy data, something that has been empirically confirmed by experiment. The book presents two main scientific contributions: the vocabulary and modeling agnostic fusion approach on the purely textual label information, and the combination of three different modalities into one multi-modal embedding space for a more human-like notion of similarity. The book will be of interest to all those faced with the problem of processing data from multiple web-based sources."-- Back cover.
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This volume is a reprint of the Special Issue "Theory and Application of Web 3.0 in the Media Sector". Launched to highlight vital multidisciplinary perspectives, the SI's contents are both theory- and application-oriented. The advancements of computational processing and storage capacities (at affordable or decreasing costs), the evolution of content compression techniques, and the constant update of networking infrastructures led to the domination of the so-called User-Generated Content (UGC). The proliferation of mobile devices, offering inherent networking with enhanced content capturing and sharing capabilities, also fueling the models of Participatory and Citizens' Journalism. Thus, the interest has shifted to semantic services, purposing, among others, to automate content production, publishing, validation, documentation, and management. Such technological solutions have already entered the media sector, with their successful growth and elaboration requiring multidisciplinary effort supported by digital literacy initiatives. Nevertheless, further research is needed for the transition to the new media era in which algorithmic automations and semantic services will serve their original purposes, helping both media professionals and broader audiences. A total of 11 contributions were published within this volume, enlightening various aspects of contemporary Web 3.0 services from both technological/algorithmic and conceptual/social science approaches.
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Ontologies (Information retrieval). --- Semantic Web. --- Semantic Web--Congresses.
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Semantic Web. --- Web site development. --- Knowledge management.
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