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This book constitutes the thoroughly refereed proceedings of the 11th International Conference on Metadata and Semantic Research, MTSR 2017 2017, held in Tallinn, Estonia, November 28th to December 1st, 2017. The 18 full and 13 short papers presented were carefully reviewed and selected from 58 submissions. They focus on the Internet of Things (IoT) and the practical implementation of ontologies and linked data. Further topics are theoretical and foundational principles of metadata; ontologies and information organization; applications of linked data, open data, big data and user-generated metadata; digital interconnectedness; metadata standardization; authority control and interoperability in digital libraries and research data repositories; emerging issues in RDF, OWL, SKOS, schema.org, BIBFRAME, metadata and ontology design; linked data applications for e-books; digital publishing and Content Management Systems (CMSs); content discovery services, search, information retrieval and data visualization applications.
The scope of this volume is to give to the reader a wide scenario of recent works characterized by a synergistic combination of Soft Computing area with recent trends of Distributed Artificial Intelligence and Ambient Intelligence. The editors present two basic paradigms: the emergence of computational intelligence as a mature and integrated science, and the power of the agent paradigm in realizing complex and distributed environments. This book explores these emerging areas inviting well-known authors whose expertise is widely recognized.
Mobile Commerce is considered to be the next-generation e-commerce, since it enables users to access the WWW from anywhere in the world at any time. Because of this, m-commerce has to rely on new technologies, services and business models. Its potential emerges from the fact that the Internet has become an essential component in all aspects of our lives. On the other hand, mobile phones and PDAs have become an indispensable part of our daily routine as sources of all kinds of information and services and, especially, as a permanently available interface to our surroundings.
Technology Diffusion and Adoption: Global Complexity, Global Innovation discusses the emerging topics of information technology and the IT based solutions in global and multi-cultural environments. This comprehensive collection addresses the aspects of innovation diffusion in the field of business computing technologies and is essential for researchers, practitioners, academicians and educators all over the world.
This book constitutes the refereed proceedings of workshops, held at the 31st International Conference on Conceptual Modeling, ER 2012, in Florence, Italy in October 2012. The 32 revised papers presented together with 6 demonstrations were carefully reviewed and selected from 84 submissions. The papers are organized in sections on the workshops CMS 2012, EDCM-NoCoDa, MODIC, MORE-BI, RIGIM, SeCoGIS and WISM. The workshops cover different conceptual modeling topics, from requirements, goal and service modeling, to evolution and change management, to non-conventional data access, and they span a wide range of domains including Web information systems, geographical information systems, business intelligence, data-intensive computing.
This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.
This work by two accomplished Polish researchers provides medical technicians and researchers alike with detailed descriptions of up-to-date methods used for computer processing and interpretation of medical images. The broad scope of the book takes in images acquisition, storing with compression, processing, analysis, recognition and also its automatic understanding. The introduction provides a general overview of the computer vision methods designed for medical images.
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This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; case-based reasoning in medicine; assessing the quality of care in AI environment; electronic medical record to examine physician decisions; multi-agent systems for the management of community healthcare; assistive wheelchair navigation; and more.