Search results for: semantic-web-technologies

Applications of Semantic Web Technologies in Music Production

Author : Thomas Wilmering
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Foundations of Semantic Web Technologies

Author : Pascal Hitzler
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With more substantial funding from research organizations and industry, numerous large-scale applications, and recently developed technologies, the Semantic Web is quickly emerging as a well-recognized and important area of computer science. While Semantic Web technologies are still rapidly evolving, Foundations of Semantic Web Technologies focuses

Semantic Web and Education

Author : Vladan Devedžic
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This is the first book treatment on two "hot button" topics in Information Systems, Computer Science and Education: the application of web technology for educational use. The result is a thorough and highly useful presentation on the confluence of the technical aspects of the Semantic Web and the field of Education or the art of teaching. The book will interest researchers and students in the fields of Information Systems, Computer Science, and Education.

Applied Semantic Web Technologies

Author : Vijayan Sugumaran
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The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case studies to illustrate the history, current state, and future direction of the semantic web. It maintains an emphasis on real-world applications and examines the technical and practical issues related to the use of semantic technologies in intelligent information management. The book starts with an introduction to the fundamentals—reviewing ontology basics, ontology languages, and research related to ontology alignment, mediation, and mapping. Next, it covers ontology engineering issues and presents a collaborative ontology engineering tool that is an extension of the Semantic MediaWiki. Unveiling a novel approach to data and knowledge engineering, the text: Introduces cutting-edge taxonomy-aware algorithms Examines semantics-based service composition in transport logistics Offers ontology alignment tools that use information visualization techniques Explains how to enrich the representation of entity semantics in an ontology Addresses challenges in tackling the content creation bottleneck Using case studies, the book provides authoritative insights and highlights valuable lessons learned by the authors—information systems veterans with decades of experience. They explain how to create social ontologies and present examples of the application of semantic technologies in building automation, logistics, ontology-driven business process intelligence, decision making, and energy efficiency in smart homes.

Semantic Web Technologies for Enterprise 2 0

Author : A. Passant
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In this book, we detail different theories, methods and implementations combining Web 2.0 paradigms and Semantic Web technologies in Enterprise environments. After introducing those terms, we present the current shortcomings of tools such as blogs and wikis as well as tagging practices in an Enterprise 2.0 context. We define the SemSLATES methodology and the global vision of a middleware architecture based on Semantic Web technologies and Linked Data principles (languages, models, tools and protocols) to solve these issues. Then, we detail the various ontologies that we build to achieve this goal. We present on the one hand the models dedicated to socio-structural meta-data, especially SIOC – Semantically-Interlinked Online Communities –, and on the other hands models extending public ontologies for representing domain knowledge. Moreover, we detail the MOAT – Meaning Of A Tag – ontology, providing a way to combine the flexibility of tagging and the power of ontology-based indexing. We also describe several software implementations related to these models, done in the industrial context of EDF R&D, and dedicated to easily produce and use semantic annotations to enrich original tools: semantic wikis, advanced visualization interfaces (faceted browsing, semantic mash-ups, etc.) combined with a semantic search engine. Several contributions described in this thesis have been published as public ontologies or open-source software, contributing more generally to this convergence between Web 2.0 and the Semantic Web, not only in enterprise but on the Web as a whole.

The Semantic Web Research and Applications

Author : Enrico Franconi
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This book constitutes the refereed proceedings of the 4th European Semantic Web Conference, ESWC 2007, held in Innsbruck, Austria, in June 2007. Coverage includes semantic Web services, ontology learning, inference and mapping, social semantic Web, ontologies, personalization, foundations of the semantic Web, natural languages and ontologies, and querying and Web data models.

Handbook of Semantic Web Technologies

Author : John Domingue
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After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related research results, necessitates a reliable reference source from which beginners to the field can draw a first basic knowledge of the main underlying technologies as well as state-of-the-art application areas. This handbook, put together by three leading authorities in the field, and supported by an advisory board of highly reputed researchers, fulfils exactly this need. It is the first dedicated reference work in this field, collecting contributions about both the technical foundations of the Semantic Web as well as their main usage in other scientific fields like life sciences, engineering, business, or education.

Semantic Web Technologies for Intelligent Engineering Applications

Author : Stefan Biffl
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This is the first book to explore how Semantic Web technologies (SWTs) can be used to create intelligent engineering applications (IEAs). Technology-specific chapters reflect the state of the art in relevant SWTs and offer guidelines on how they can be applied in multi-disciplinary engineering settings characteristic of engineering production systems. In addition, a selection of case studies from various engineering domains demonstrate how SWTs can be used to create IEAs that enable, for example, defect detection or constraint checking. Part I “Background and Requirements of Industrie 4.0 for Semantic Web Solutions” provides the background information needed to understand the book and addresses questions concerning the semantic challenges and requirements of Industrie 4.0, and which key SWT capabilities may be suitable for implementing engineering applications. In turn, Part II “Semantic Web-Enabled Data Integration in Multi-Disciplinary Engineering” focuses on how SWTs can be used for data integration in heterogeneous, multi-disciplinary engineering settings typically encountered in the creation of flexible production systems. Part III “Creating Intelligent Applications for Multi-Disciplinary Engineering” demonstrates how the integrated engineering data can be used to support the creation of IEAs, while Part IV “Related and Emerging Trends in the Use of Semantic Web in Engineering” presents an overview of the broader spectrum of approaches that make use of SWTs to support engineering settings. A final chapter then rounds out the book with an assessment of the strengths, weaknesses and compatibilities of SWTs and an outlook on future opportunities for applying SWTs to create IEAs in flexible industrial production systems. This book seeks to build a bridge between two communities: industrial production on one hand and Semantic Web on the other. Accordingly, stakeholders from both communities should find this book useful in their work. Semantic Web researchers will gain a better understanding of the challenges and requirements of the industrial production domain, offering them guidance in the development of new technologies and solutions for this important application area. In turn, engineers and managers from engineering domains will arrive at a firmer grasp of the benefits and limitations of using SWTs, helping them to select and adopt appropriate SWTs more effectively. In addition, researchers and students interested in industrial production-related issues will gain valuable insights into how and to what extent SWTs can help to address those issues.

Canadian Semantic Web

Author : Weichang Du
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The emergence of Web technologies for the distribution of an immense amount of data and knowledge has given rise to the need for supportive frameworks for kno- edge management. Semantic Web technologies aim at providing shared semantic spaces for Web contents, such that people, applications and communities can use a common platform to share information. Canadian Semantic Web: Technologies and Applications aims at contributing to the advancement of the Semantic Web by providing the most recent signi?cant - search on Semantic Web theory, techniques and applications in academia, industry and government in Canada and all over the world. It also enlightens possible - mantic Web research directions in future by reporting some works in-progress that presenton-goingresearchonprinciplesandapplicationsoftheSemanticWeb,while their implementation or deployment may have not been completed. This book consists of ten chapters. The chapters are extended versions of a - lected set of papers from the second Canadian Semantic Web Working Symposium (CSWWS 2009) and the twenty-?rst international Conference on Software En- neering and Knowledge Engineering (SEKE 2009). CSWWS 2009 was held in Kelowna, British Columbia in May 2009. Since many of the challenging aspects of the research problems tackled in the Semantic Web area fall in the realm of Ar- ?cial Intelligence or employ of AI techniques, CSWWS 2009 was organized in - nd sociation with the 22 Canadian Conference on Arti?cial Intelligence.

Semantic Web Enabled Software Engineering

Author : Jeff Z. Pan
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Semantic Web Technologies and Social Searching for Librarians

Author : Robin M. Fay
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There are trillions of bytes of information within the web, all of it driven by behind-the-scenes data. Vast quantities of information make it hard to find what?s really important. Here?s a practical guide to the future of web-based technology, especially search. It provides the knowledge and skills necessary to implement semantic web technology. You?ll learn how to start and track trends using social media, find hidden content online, and search for reusable online content, crucial skills for those looking to be better searchers. The authors explain how to explore data and statistics through WolframAlpha, create searchable metadata in Flickr, and give meaning to data and information on the web with Google?s Rich Snippets. Let Robin M. Fay and Michael P. Sauers show you how to use tools that will awe your users with your new searching skills.

Current Trends in Semantic Web Technologies

Author : Giner Alor-Hernández
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This book presents innovative and high-quality research regarding the implementation of Semantic Web technologies for knowledge representation and developing intelligent applications in various domains. Semantic Web technologies have inspired many people to create innovative technologies and applications for knowledge representation, Semantic Searches, NLP and Social Networks. The goal of this book is to collect and consolidate novel and high-quality research contributions on Semantic Web technologies and their theoretical and practical application to a range of different domains. In addition to researchers, the book offers a valuable resource for PhD students, master and undergraduate students in IT-related fields such as Computer Science and Information Systems.

Social and Semantic Web Technologies for the Text to Knowledge Translation Process in Biomedicine

Author : Carlos Cano
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Social and Semantic Web Technologies for the Text-to-Knowledge Translation Process in Biomedicine.

Building Integrative Enterprise Knowledge Portals with Semantic Web Technologies

Author : Torsten Priebe
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Emerging Topics in Semantic Technologies

Author : E. Demidova
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This book includes a selection of thoroughly refereed papers accepted at the Satellite Events of the 17th Internal Semantic Web Conference, ISWC 2018, held in Monterey, CA in October 2018. The key areas addressed by these events include the core Semantic Web technologies such as knowledge graphs and scalable knowledge base systems, ontology design and modelling, semantic deep learning and statistics. Furthermore, several novel applications of semantic technologies to the topics of Internet of Things (IoT), healthcare, social media and social good are discussed. Finally, important topics at the interface of the Semantic Web technologies and their human users are addressed, including visualization and interaction paradigms for Web Data as well as crowdsourcing applications.

Semantic e Science

Author : Huajun Chen
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The Semantic Web has been a very important development in how knowledge is disseminated and manipulated on the Web, but it has been of particular importance to the flow of scientific knowledge, and will continue to shape how data is stored and accessed in a broad range of disciplines, including life sciences, earth science, materials science, and the social sciences. After first presenting papers on the foundations of semantic e-science, including papers on scientific knowledge acquisition, data integration, and workflow, this volume looks at the state of the art in each of the above-mentioned disciplines, presenting research on semantic web applications in the life, earth, materials, and social sciences. Drawing papers from three semantic web workshops, as well as papers from several invited contributors, this volume illustrates how far semantic web applications have come in helping to manage scientific information flow.

The Role of Semantic Web Technologies for IoT Data in Underpinning Environmental Science

Author : Izhar Ullah
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The Application of Semantic Web Technologies to Content Analysis in Sociology

Author : Tabea Tietz
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Semantic Web Foundations for Representing Reasoning and Traversing Contextualized Knowledge Graphs

Author : Vinh Thi Kim Nguyen
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Semantic Web technologies such as RDF and OWL have become World Wide Web Consortium (W3C) standards for knowledge representation and reasoning. RDF triples about triples, or meta triples, form the basis for a contextualized knowledge graph. They represent the contextual information about individual triples such as the source, the occurring time or place, or the certainty.However, an efficient RDF representation for such meta-knowledge of triples remains a major limitation of the RDF data model. The existing reification approach allows such meta-knowledge of RDF triples to be expressed in RDF by using four triples per reified triple. While reification is simple and intuitive, this approach does not have a formal foundation and is not commonly used in practice as described in the RDF Primer.This dissertation presents the foundations for representing, querying, reasoning and traversing the contextualized knowledge graphs (CKG) using Semantic Web technologies.A triple-based compact representation for CKGs. We propose a principled approach and construct RDF triples about triples by extending the current RDF data model with a new concept, called singleton property (SP), as a triple identifier. The SP representation needs two triples to the RDF datasets and can be queried with SPARQL.A formal model-theoretic semantics for CKGs. We formalize the semantics of the singleton property and its relationships with the triple it represents. We extend the current RDF model-theoretic semantics to capture the semantics of the singleton properties and provide the interpretation at three levels: simple, RDF, and RDFS. It provides a single interpretation of the singleton property semantics across applications and systems.A sound and complete inference mechanism for CKGs. Based on the semantics we propose, we develop a set of inference rules for validating and inferring new triples based on the SP syntax. We also derive different sets of context-based inference rules using lattices of values for provenance, time, and uncertainty. A graph-based formalism for CKGs. We propose a formal contextualized graph model for the SP representation. We formalize the RDF triples as a mathematical graph by combining the model theory and the graph theory into the same RDF formal semantics. The unified semantics allows the RDF formal semantics to be leveraged in the graph-based algorithms.

A Generic Privacy Model for Data Access Using Semantic Web Technologies

Author : Prajakta Nivargi
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