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• Semantics in data visualization • Semantic services for mobile users • Supporting tools • Applications of semantic-driven approaches These topics are to be understood as specifically related to semantic issues. Contributions submitted to the journal and dealing with semantics of data will be considered even if they are not within the topics in the list. While the physical appearance of the journal issues is like the books from the we- known Springer LNCS series, the mode of operation is that of a journal. Contributions can be freely submitted by authors and are reviewed by the Editorial Board. Contributions may also be invited, and nevertheless carefully reviewed, as in the case for issues that contain extended versions of the best papers from major conferences addressing data semantics issues. Special issues, focusing on a specific topic, are coordinated by guest editors once the proposal for a special issue is accepted by the Editorial Board. Finally, it is also possible that a journal issue be devoted to a single text.
"This book presents the use of semantic interoperability for a variety of applications ranging from manufacturing to tourism, e-commerce, energy Grids' integration, geospatial systems interoperability and automated agents interoperability for web services"--Provided by publisher.
Provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data.
Artificial intelligence has become so much a part of everyday life that it is now hard to imagine a world without it. This book presents papers from the 12th Scandinavian Conference on Artificial Intelligence (SCAI), held in Aalborg, Denmark in November 2013. The SCAI conference is the main biennial platform for the AI research community in Scandinavia, and the papers collected here not only include contributions from Scandinavia, but also from other European and non-European countries. Topics cover the entire range of AI, with a particular focus on machine learning and knowledge representation, as well as uncertainty in AI and applications. In addition to the 28 regular papers, extended abstracts of the presentations made by Ph.D. students of their research-in-progress to a panel of experts in the doctoral symposium – a new feature at this conference – are also included here. This book will be of interest to all those who wish to keep up-to-date with the latest developments in artificial intelligence.
This book constitutes the refereed proceedings of the 6th Metadata and Semantics Research Conference, MTSR 2012, held in Cádiz, Spain, in November 2012. The 33 revised papers presented were carefully reviewed and selected from 85 submissions. The papers are organized in a general, main track and several others: a track on metadata and semantics for open access repositories, research information systems and infrastructures, a second on metadata and semantics for cultural collections and applications, and finally one on metadata and semantics for agriculture, food and environment.
The two-volume set LNCS 7031 and 7032 constitutes the proceedings of the 10th International Semantic Web Conference, ISWC 2011, held in Bonn, Germany, in October 2011. Part I, LNCS 7031, contains 50 research papers which were carefully reviewed and selected from 264 submissions. The 17 semantic web in-use track papers contained in part II, LNCS 7032, were selected from 75 submissions. This volume also contains 15 doctoral consortium papers, selected from 31 submissions. The topics covered are: ontologies and semantics; database, IR, and AI technologies for the semantic web; management of semantic web data; reasoning over semantic web data; search, query, integration, and analysis on the semantic web; robust and scalable knowledge management and reasoning on the web; interacting with semantic web data; ontology modularity, mapping, merging and alignment; languages, tools, and methodologies for representing and managing semantic web data; ontology, methodology, evaluation, reuse, extraction and evolution; evaluation of semantic web technologies or data; specific ontologies and ontology pattern for the semantic web; new formalisms for semantic web; user interfaces to the semantic web; cleaning, assurance, and provenance of semantic web data; services, and processes; social semantic web, evaluation of semantic web technology; semantic web population from the human web.
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
This book constitutes the refereed proceedings of the 5th Conference on Knowledge Engineering and the Semantic Web, KESW 2014, held in Kazan, Russia, in September/October 2014. The 18 revised full papers presented together with 4 short system descriptions were carefully reviewed and selected from 44 submissions. The papers address research issues related to semantic web, linked data, ontologies, natural language processing, knowledge representation.
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries
This two-volume set LNCS 5331/5332 constitutes the refereed proceedings of the five confederated international conferences on Cooperative Information Systems (CoopIS 2008), Distributed Objects and Applications (DOA 2008), Grid computing, high performAnce and Distributed Applications (GADA 2008), Information Security (IS 2008), and Ontologies, Databases and Applications of Semantics (ODBASE 2008), held as OTM 2008 in Monterrey, Mexico, in November 2008. The 86 revised full and 9 revised short papers presented together with 5 invited papers and 4 keynote talks were carefully reviewed and selected from a total of 292 submissions. Corresponding to the five OTM 2008 main conferences CoopIS, DOA, GADA, IS, and ODBASE the papers are organized in topical sections on Web service, business process technology, E-service management, distributed process management, schema matching, business process tracing, workflow and business applications, designing distributed systems, context in distributed systems, high availability, adaptive distributed systems, scheduling allocation, databases in grids, grid applications, data management and storage, new tendencies and approaches, intrusion detection, information hiding, data and risk management, access control, evaluation and implementation, semantic matching and similarity measuring, semantic searching, ontology development, ontology maintanence and evaluation, ontology applications, and semantic query processing.