The Web is evolving from a place where a prodigious amount of text and images are stored to a place where educational and other needs are serviced. The Web is becoming increasingly automated with functions that previously required human action undertaken automatically moving learners and other users more quickly to useful support. More and more such services interoperate with each other through computer programs and agents. This is the territory of semantic Web services and Web 3.0. Just as shop bots and auction bots abound in handling a particular task on the Web currently, in higher education of the future such related bots and agents will interact with the heterogeneous information that is the stuff of higher education. The scale of such agent-based mediation and linked data will grow over time. Increasingly, intelligent agents and bots will undertake tasks on behalf of their faculty, administrator, and student owners. Collaborations among faculty and students around the world will be increasingly supported by semantic social networks capable of providing crucial functions. Students can be engaged in participating in the design and development of semantic Web applications in such areas as structuring and representing knowledge. The increasing availability of interactive educational tools and collaborative community-resources, such as wikis, can be the foundation for deploying semantically marked-up and social-connected educational spaces where students construct their own learning pathways in explorations of knowledge and creating new content integration. This volume will share visions and partial realizations of the impact of the semantic Web and associated Web 3.0 features on higher education. This volume will provide accounts of cutting-edge pedagogic applications of the semantic Web with its extremely extensive use of interconnecting information technologies.

In the last few years, there has been an increased advancement and evolution in semantic web and information systems in a variety of fields. The integration of these approaches to ontology engineering, sophisticated methods and algorithms for open linked data extraction, and advanced decision-making creates new opportunities for a bright future. Innovations, Developments, and Applications of Semantic Web and Information Systems is a critical scholarly resource that discusses integrated methods of research and analytics in information technology. Featuring coverage on a broad range of topics, such as cognitive computing, artificial intelligence, machine learning, data analysis, and algorithms, this book is geared towards researchers, academicians, and professionals seeking current information on semantic web and information systems.

The final part deals with the social semantic web. Aspects covered include a broad survey of this emerging area; a description of a number of projects and experiences exploring semantic web technologies in social learning contexts; and a new approach to collaborative filtering.

Continual advancements in web technology have highlighted the need for formatted systems that computers can utilize to easily read and sift through the hundreds of thousands of data points across the internet. Therefore, having the most relevant data in the least amount of time to optimize the productivity of users becomes a priority. Semantic Web Science and Real-World Applications provides emerging research exploring the theoretical and practical aspects of semantic web science and real-world applications within the area of big data. Featuring coverage on a broad range of topics such as artificial intelligence, social media monitoring, and microblogging recommendation systems, this book is ideally designed for IT consultants, academics, professionals, and researchers of web science seeking the current developments, requirements and standards, and technology spaces presented across academia and industries.

The Web is growing at an astounding pace surpassing the 8 billion page mark. However, most pages are still designed for human consumption and cannot be processed by machines. This book provides a well-paced introduction to the Semantic Web. It covers a wide range of topics, from new trends (ontologies, rules) to existing technologies (Web Services and software agents) to more formal aspects (logic and inference). It includes: real-world (and complete) examples of the application of Semantic Web concepts; how the technology presented and discussed throughout the book can be extended to other application areas.

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast web of data. Managing data on a world-wide scale is a key capability for any business today. The Semantic Web treats data as a distributed resource on the scale of the World Wide Web, and incorporates features to address the challenges of massive data distribution as part of its basic design. The aim of the first two editions was to motivate the Semantic Web technology stack from end-to-end; to describe not only what the Semantic Web standards are and how they work, but also what their goals are and why they were designed as they are. It tells a coherent story from beginning to end of how the standards work to manage a world-wide distributed web of knowledge in a meaningful way. The third edition builds on this foundation to bring Semantic Web practice to enterprise. Fabien Gandon joins Dean Allemang and Jim Hendler, bringing with him years of experience in global linked data, to open up the story to a modern view of global linked data. While the overall story is the same, the examples have been brought up to date and applied in a modern setting, where enterprise and global data come together as a living, linked network of data. Also included with the third edition, all of the data sets and queries are available online for study and experimentation at data.world/swwo.

As a new generation of technologies, frameworks, concepts and practices for information systems emerge, practitioners, academicians, and researchers are in need of a source where they can go to educate themselves on the latest innovations in this area. Semantic Web Information Systems: State-of-the-Art Applications establishes value-added knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government. Semantic Web Information Systems: State-of-the-Art Applications covers new semantic Web-enabled tools for the citizen, learner, organization, and business. Real-world applications toward the development of the knowledge society and semantic Web issues, challenges and implications in each of the IS research streams are included as viable sources for this challenging subject.