A Generic Privacy Model for Data Access Using Semantic Web Technologies
Author: Prajakta Nivargi
Publisher:
Published: 2004
Total Pages: 206
ISBN-13:
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Author: Prajakta Nivargi
Publisher:
Published: 2004
Total Pages: 206
ISBN-13:
DOWNLOAD EBOOKAuthor: Emily Kigel
Publisher: diplom.de
Published: 2010-03-26
Total Pages: 76
ISBN-13: 383664441X
DOWNLOAD EBOOKInhaltsangabe:Abstract: In the last years the web underwent a drastic shift from a static, centralised information system to a dynamic, user-generated, distributed and open platform, and users changed from passive consumers to active participants, interacting, creating and sharing content. This 'new' web is called Web 2.0. In the era of this movement new Social Web applications emerged creating an environment for people to publish, share and discuss content, plus enabling people to create descriptive profiles of themselves for self-expression and build social networks consisting of relationships with others with the purpose of interaction and communication. With the increasing popularity of such social networking applications the number of users has scaled up and is still growing. Not only the number of users but also the web traffic is an indicator to the growing importance of social networking platforms which are now among the most visited websites. With over 100 million unique visitors worldwide, Facebook is one of the most popular networking sites on the web, moreover the site ranks third in the top visited sites on the web only being surpassed by Google and Yahoo! according to Alexa. YouTube (with over 80 million unique visitors), MySpace (with about 60 million unique visitors) and Flickr (about 30 million unique visitors) are other examples of prominent social networking platforms. However, the availability of such a huge amount of information within the social networking sites and the open nature of the services and their usage also attracts the attention of parties with marketing purposes or malicious intent. Users are thereby put at risk of online stalking, phishing, identity theft, spamming, passing on data to third parties and privacy issues which are related to personal data exposure due to insufficient access control. By maintaining social networks and actively participating in Social Web activities like interacting with others, users unwittingly expose sensitive and personal or inappropriate, even reputation-damaging data not only to friends but to an audience that mostly remains invisible and consists of strangers or acquaintances that potentially are not supposed to see such information. Thus the revealed information can lead to major consequences if read out of context or read by parties, like authorities or job recruiters, for whom this information was not intended. The reputation of social networking sites has been slightly [...]
Author: Emily Kigel
Publisher:
Published: 2013-10
Total Pages: 76
ISBN-13: 9783656513735
DOWNLOAD EBOOKBachelor Thesis from the year 2009 in the subject Computer Science - Internet, New Technologies, grade: 1,7, University of Hannover (Knowledge Based Systems Institute), language: English, abstract: Social Web applications are steadily gaining popularity. At the same time, the open nature of such services leads to the exposure of an immense amount of personal data. Due to insucient access control on nowadays Social Web applications problems in terms of privacy arise. This thesis focuses on the need for more exible and negrained privacy restrictions. It analyses privacy problems of current Social Web applications and compares the privacy preferences such applications over. Based on this analysis, this thesis extends the well-known principle of policy-based access control, which is a exible and dynamic way to dene who can get access to what content based on user preferences. The presented extension accommodates policies to the requirements of the Social Web. In particular, it describes how to exploit Social Semantic Web data for privacy reasoning. This includes the retrieval of Social and Semantic Web data from various information sources on the Web. It further includes its usage for the denition of privacy policies and its consideration during the policy evaluation. Consequently, using Social Semantic Web data for policy reasoning allows users to exactly dene which social relationships and properties a requester has to have in order to access a particular resource. These conditions can cross the boundaries of a single Social Web application. Hence, a user can for example state that a friend on one application can access pictures stored on another application; thus bridging the walled garden of nowadays Social Web applications.
Author: Ortiz-Rodriguez, Fernando
Publisher: IGI Global
Published: 2024-05-16
Total Pages: 502
ISBN-13:
DOWNLOAD EBOOKThe confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT. This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.
Author: John Domingue
Publisher: Springer Science & Business Media
Published: 2011-06-19
Total Pages: 1077
ISBN-13: 3540929126
DOWNLOAD EBOOKAfter 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.
Author: Yingjiu Li
Publisher: Springer Science & Business Media
Published: 2011-06-30
Total Pages: 319
ISBN-13: 3642223478
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 25th IFIP WG 11.3 International Conference on Data and Applications Security and Privacy, DBSec 2011, held in Richmond, VA, USA, in July 2011. The 14 revised full papers and 9 short papers presented together with 3 invited lectures were carefully reviewed and selected from 37 submissions. The topics of these papers include access control, privacy-preserving data applications, data confidentiality and query verification, query and data privacy, authentication and secret sharing.
Author: Sanju Tiwari
Publisher: Academic Press
Published: 2022-09-17
Total Pages: 292
ISBN-13: 0323972268
DOWNLOAD EBOOKSemantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction. Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies Covers applications across a range of eHealth technologies, including remote monitoring and mobile health
Author: Sven Groppe
Publisher: Springer Science & Business Media
Published: 2011-04-29
Total Pages: 273
ISBN-13: 3642193579
DOWNLOAD EBOOKThe Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.
Author: Sarika Jain
Publisher: Academic Press
Published: 2021-03-27
Total Pages: 290
ISBN-13: 0128224851
DOWNLOAD EBOOKWeb Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable. In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions. It provides easily comprehensible information on Web Semantics including semantics for data and semantics for services. Presents a comprehensive examination of the emerging research in areas of the semantic web, including ontological engineering, semantic annotation, reasoning and intelligent processing, semantic search paradigms, semantic web mining, and semantic sentiment analysis Helps readers understand key concepts in semantic web applications for biomedical engineering and healthcare, including mapping disparate knowledge bases, security issues, multilingual semantic web, and integrating databases with knowledge bases Includes coverage of key application areas of the semantic web, including clinical decision-making, biodiversity science, interactive healthcare, intelligent agent systems, decision support systems, and clinical natural language processing
Author: Simone Fischer-Hübner
Publisher: Springer
Published: 2006-09-21
Total Pages: 254
ISBN-13: 3540377522
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the Third International Conference on Trust and Privacy in Digital Business, TrustBus 2006, held in conjunction with DEXA 2006. The book presents 24 carefully reviewed, revised full papers, organized in topical sections on privacy and identity management, security and risk management, security requirements and development, privacy enhancing technologies and privacy management, access control models, trust and reputation, security protocols and more.