The Semantic Web has evolved as a blueprint for a knowledge-based framework aimed at crossing the chasm from the current Web of unstructured information resources to a Web equipped with metadata and oriented to delegating tasks to software agents. Semantic Web Personalization and Context Awareness: Management of Personal Identities and Social Networking communicates relevant recent research in Semantic Web-based personalization as applied to the context of information systems. This book reviews knowledge engineering for organizational applications, and Semantic Web approaches to information systems and ontology-based information systems research, as well as the diverse underlying database and knowledge representation aspects that impact personalization and customization.
This book presents an overview of the components, approaches and techniques which are used to build a mobile phoneapplication that uses short messaging service (SMS) text messages to improve interaction, information distribution and communication of stakeholders in a university setting. The proposed application is built upon a multiple compatible mobile phone menu-based subscription management application that is also customizable. Since SMS has the potential to fill significantconnectivity and service gaps, this application can provide support for them to become more ubiquitous. Event-based approach towards context-aware personalized notification service is adopted, i.e. user will receive relevant immediate SMS to his/her mobile phone based on his/her subscription for preferred notifications. A trigger enables event management system to send out (semi-) automated personalized notification. Notification services that understand the context within which their users operate, i.e. identity,activity and time are derived based on a set of predetermined rules. This will benefit the stakeholders in terms of getting up-to-date notifications.
The 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.
With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web. Cases on Open-Linked Data and Semantic Web Applications brings together new theories, research findings and case studies which cover the recent developments and approaches towards applied open linked data and semantic web in the context of information systems. By enhancing the understanding of open linked data in business, science and information technologies, this reference source aims to be useful for academics, researchers, and practitioners.
"This book provides an analysis and introduction on the concept of combining the areas of semantic web and web mining, emphasizing semantics in technologies, reasoning, content searching and social media"--Provided by publisher.
This book constitutes the refereed proceedings of the 4th International Conference on Ubiquitous Intelligence and Computing, UIC 2007, held in Hong Kong, China in July 2007, co-located with ATC 2007, the 4th International Conference on Autonomic and Trusted Computing. The 119 revised full papers presented together with 1 keynote paper and 1 invited paper were carefully reviewed and selected from 463 submissions. The papers are organized in topical sections on smart objects and embedded systems, smart spaces/environments/services, ad-hoc and intelligent networks, sensor networks, pervasive communication and mobile systems, context-aware applications and systems, service oriented middleware and applications, intelligent computing: models and services, as well as security, safety and privacy.
Web Personalization can be defined as any set of actions that can tailor the Web experience to a particular user or set of users. To achieve effective personalization, organizations must rely on all available data, including the usage and click-stream data (reflecting user behaviour), the site content, the site structure, domain knowledge, as well as user demographics and profiles. In addition, efficient and intelligent techniques are needed to mine this data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' Web experience. The aim of the International Workshop on Adaptive and Personalized Semantic Web that was held in the Sixteenth ACM Conference on Hypertext and Hypermedia (September 6-9, 2005, Salzburg, Austria) was to bring together researchers and practitioners in the fields of web engineering, adaptive hypermedia, semantic web technologies, knowledge management, information retrieval, user modelling, and other related disciplines which provide enabling technologies for personalization and adaptation on the World Wide Web. The book contains the papers presented during the workshop. Presentations of the papers are available online at www.hci.gr.
Semantics in Adaptive and Personalised Services, initially strikes one as a specific and perhaps narrow domain. Yet, a closer examination of the term reveals much more. On one hand there is the issue of semantics. Nowadays, this most often refers to the use of OWL, RDF or some other XML based ontology description language in order to represent the entities of problem. Still, semantics may also very well refer to the consideration of the meanings and concepts, rather than arithmetic measures, regardless of the representation used. On the other hand, there is the issue of adaptation, i.e. automated re-configuration based on some context. This could be the network and device context, the application context or the user context; we refer to the latter case as personalization. From a different perspective, there is the issue of the point of view from which to examine the topic. There is the point of view of tools, referring to the algorithms and software tools one can use, the point of view of the methods, referring to the abstract methodologies and best practices one can follow, as well as the point of view of applications, referring to successful and pioneering case studies that lead the way in research and innovation. Or at least so we thought. Based on the above reasoning, the editors identified key researchers and practitioners in each of the aforementioned categories and invited them to contribute a corresponding work to this book. However, as the authors’ contributions started to arrive, the editors also started to realize that although these categories participate in each chapter to different degrees, none of them can ever be totally obsolete from them. Moreover, it seems that theory and methods are inherent in the development of tools and applications and inversely the application is also inherent in the motivation and presentation of tools and methods.
Knowledge and information are among the biggest assets of enterprises and organizations. However, efficiently managing, maintaining, accessing, and reusing this intangible treasure is difficult. Information overload makes it difficult to focus on the information that really matters; the fact that much corporate knowledge only resides in employees’ heads seriously hampers reuse. The work described in this book is motivated by the need to increase the productivity of knowledge work. Based on results from the EU-funded ACTIVE project and complemented by recent related results from other researchers, the application of three approaches is presented: the synergy of Web 2.0 and semantic technology; context-based information delivery; and the use of technology to support informal user processes. The contributions are organized in five parts. Part I comprises a general introduction and a description of the opportunities and challenges faced by organizations in exploiting Web 2.0 capabilities. Part II looks at the technologies, and also some methodologies, developed in ACTIVE. Part III describes how these technologies have been evaluated in three case studies within the project. Part IV starts with a chapter describing the principal market trends for knowledge management solutions, and then includes a number of chapters describing work complementary to ACTIVE. Finally, Part V draws conclusions and indicates further areas for research. Overall, this book mainly aims at researchers in academia and industry looking for a state-of-the-art overview of the use of semantic and Web 2.0 technologies for knowledge management and personal productivity. Practitioners in industry will also benefit, in particular from the case studies which highlight cutting-edge applications in these fields.
