الصفحة 5
الصفحة 5
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Semantic Web, Ontologies and Databases ; VLDB Workshop, SWDB-ODBIS 2007, Vienna, Austria, September 24, 2007, Revised Selected Papers

Among the topics addressed are semantics-aware data models and query languages; ontology-based views, mapping, transformations, and query reformulation; and storing and indexing semantic Web data and schemas.

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Semantic Systems : The Power of AI and Knowledge Graphs ; 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings

This book cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information management and knowledge integration; terminology, thesaurus and ontology management; data mining and knowledge discovery; semantics in blockchain and distributed ledger technologies.

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Semantic Multimedia ; 3rd International Conference on Semantic and Digital Media Technologies, SAMT 2008, Koblenz, Germany, December 3-5, 2008. Proceedings

The book cover topics such as semantic analysis and multimedia, semantic retrieval and multimedia, semantic metadata management of multimedia, semantic user interfaces for multimedia, semantics in visualization and computer graphics, as well as applications of semantic multimedia.

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Semantic Grid : Model, Methodology, and Applications

Semantic Grid: Model, Methodology, and Applications introduces to the science, core technologies, and killer applications. First, scientific issues of semantic grid systems are covered, followed by two basic technical issues, data-level semantic mapping, and service-level semantic interoperating. Two killer applications are then introduced to show how to build a semantic grid for specific application domains.

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Self-Organizing Systems ; 3rd International Workshop, IWSOS 2008, Vienna, Austria, December 10-12, 2008. Proceedings

This book is organized in topical sections on peer-to-peer systems, overlay networks as well as resource and service management.

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Selected Contributions in Data Analysis and Classification

This was the era of the ?rst university calculation centres that one accessed over a counter. One would deposit cards on which program and data were punched in and come back a few hours or days later for the results. Like all those who used linear data analysis, the computer enabled me to calculate for each data set the value of mathematical objects (eigenvalues and eigenvectors for example) whose optimality properties had been demonstrated by mathematicians. It was - ready a big step to be able to do this in concrete experimental situations. With Dynamic Clustering Algorithm, Edwin Diday allowed us to discover that computers could be more than just a way of giving numerical values to known mathematical objects.

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Security, Privacy and Trust in Modern Data Management

In the context of this menace, Petkovic and Jonker provide a comprehensive guide to data management technologies with respect to security, privacy and trust. After the introductory part that offers a perspective on privacy and security issues in the modern digital world, the contributions from leading researchers are grouped into sections on data and system security, privacy-enhancing techniques, digital asset protection, and selected topics on privacy and security in ambient intelligence. Overall, the book delivers, from information on the ethical and legislative background, to chapters on the state-of-the-art technologies such as access control, identity management and digital rights management to advice on implementing fair information practices and preventing security and privacy violations.

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Security and trust management : 16th International Workshop, STM 2020, Guildford, UK, September 17–18, 2020, Proceedings

This book constitutes the proceedings of the 16th International Workshop on Security and Trust Management, STM 2020, co-located with the 25th European Symposium on Research in Computer Security, ESORICS 2020. The conference was planned to take place in Guildford, UK, but had to be moved to an online format due to the COVID-19 pandemic. The workshop took place during September 17-18, 2020. The 8 papers presented in this volume were carefully reviewed and selected from 20 submissions. They were organized in topical sections on security properties and attacks; confidentiality schema and security processes.

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Security and privacy in social networks and big data ; 6th International symposium, SocialSec 2020, Tianjin, China, September 26–27, 2020, Proceedings

This book constitutes revised and selected papers from the 6th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2020, held in Tianjin, China, in September 2020. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 111 submissions. The papers are organized according to the topical sections on big data security; social networks; privacy-preserving and security.

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Secure Transaction Protocol Analysis : Models and Applications

The present volume arose from the need for a comprehensive coverage of the state of the art in security protocol analysis. It aims to serve as an overall course-aid and to provide self-study material for researchers and students in formal methods theory and applications in e-commerce, data analysis and data mining. The volume will also be useful to anyone interested in secure e-commerce. The book is organized in eight chapters covering the main approaches and tools in formal methods for security protocol analysis. It starts with an introductory chapter presenting the fundamentals and background knowledge with respect to formal methods and security protocol analysis. Chapter 2 provides an overview of related work in this area, including basic concepts and terminology. Chapters 3 and 4 show a logical framework and a model checker for analyzing secure transaction protocols. Chapter 5 explains how to deal with uncertainty issues in secure messages, including inconsistent messages and conflicting beliefs in messages. Chapter 6 integrates data mining with security protocol analysis, and Chapter 7 develops a new technique for detecting collusion attack in security protocols. Chapter 8 gives a summary of the chapters and presents a brief discussion of some emerging issues in the field.

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Secure Data Science : Integrating Cyber Security and Data Science

Data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science.

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Secure Data Management ; Vol. 4165 ; Third VLDB Workshop, SDM 2006, Seoul, Korea, September 10-11, 2006, Proceedings

The use of new technologies has brought some privacy concerns. It becomes simpler to collect, store, and search personal information and endanger people’s privacy. Therefore, research in the area of secure data management is of growing imp- tance, attracting the attention of both the data management and security - search communities. The interesting problems range from traditional ones such asaccesscontrol(withallvariations,likerole-basedand/orcontext-aware),da- base security, operations on encrypted data, and privacy preserving data mining to cryptographic protocols. The call for papers attracted 33 papers both from universities and ind- try. The program committee selected 13 research papers for presentation at the workshop. These papers are also collected in this volume, which we hope will serve you as useful research and reference material.

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Secure data management ; Vol. 3674 ; 2nd VLDB Workshop, SDM 2005, Trondheim, Norway, August 30-September 2, 2005, Proceedings

This book constitutes the refereed proceedings of the 9th VLDB Workshop on Secure Data Management held in Istanbul, Turkey, in August 27, 2012. The papers are organized in topical sections on privacy protection, access control, secure storage on the cloud, and trust on the Web.

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Secure Data Management ; 4th VLDB Workshop, SDM 2007, Vienna, Austria, September 23-24, 2007, Proceedings

Although a number of cryptography and security techniques have been around for quite some time, emerging technologies, such as ubiquitous computing and ambient intelligence that exploit increasingly interconnected networks, mobility and personalization, put new requirements on privacy and security with respect to data management. As data are accessible anytime anywhere, according to these new concepts, it becomes much easier to get unauthorized data access. As another consequence, the use of new technologies has brought some privacy concerns. It becomes simpler to collect, store, and search personal information and endanger people’s privacy. Therefore, research in the area of secure data management is of growing importance, attracting the attention of both the data managementand securityresearchcommunities.

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Secondary Analysis of Electronic Health Records

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence.

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Scientific applications of grid computing ; First International Workshop, SAG 2004, Beijing, China, September, Revised Selected and Invited Papers

This workshop was held in September 2004, in conjunction with the 2004 IEEE/WIC/ACM International Joint Conference on Web Intelligence (WI 2004) and Intelligent Agent Technology (IAT 2004). The WI and IAT conferences have provided, for several years, a leading international forum to bring together researchers and practitioners from diverse fields, such as computer science, information technology, business, education, human factors, systems engineering, and robotics, to explore the fundamental roles as well as practical impacts of artificial intelligence (AI) (e.g., knowledge representation, planning, knowledge discovery, and data mining, intelligent agents and social network intelligence) and advanced information technology (IT) (e.g., wireless networks, ubiquitous devices, social networks, the Wisdom Web, and data/knowledge grids), and to examine the design principles and performance characteristics of various approaches in intelligent agent technology.

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Scientific and Statistical Database Management ; 20th International Conference, SSDBM 2008, Hong Kong, China, July 9-11, 2008 Proceedings

Organized in topical sections on query optimization in scientific databases, privacy, searching and mining graphs, data streams, scientific database applications, advanced indexing methods, data mining, as well as advanced queries and uncertain data.

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Scaling Topic Maps ; 3rd International Conference on Topic Maps Research and Applications, TMRA 2007 Leipzig, Germany, October 11-12, 2007 Revised Selected Papers

Organized in topical sections on applied topic maps in industry and administration, visualisation and representation of topic maps, collaborative applications, standards related research, information integration with topic maps, social software with topic maps, topic maps engines, topic maps and dublin core, information management with topic maps, as well as open space and poster sessions.

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Rule-Based Evolutionary Online Learning Systems : A Principled Approach to LCS Analysis and Design

This book offers a comprehensive introduction to learning classifier systems (LCS) – or more generally, rule-based evolutionary online learning systems. LCSs learn interactively – much like a neural network – but with an increased adaptivity and flexibility.

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Rule Representation, Interchange and Reasoning on the Web ; International Symposium, RuleML 2008, Orlando, FL, USA, October 30-31, 2008. Proceedings

This book is organized in topical sections on rule engineering, rule-based methodologies and applications in policies, electronic contracts and security, rule representation languages and reasoning engines, rule-based methodologies and applications in distributed and heterogeneous environments, natural-language and graphical rule representation and processing, as well as exemplary contributions to the RuleML-2008 challenge.

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