Vladan Devedžic - Böcker

Writing the preface for a book feels good, because once you find yourself in a situation to write tiie preface, it usually means that you have already written the rest of the book. Writing this book was a real challenge. I would have probably never written it if there was not Stefan Voss from the University of Hamburg to propose me to write it - thanks Stefan! It may seem that it is not very difficult to describe the application of a relatively young technology, such as the Semantic Web, to the domain of education. It may seem that there is actually not much to write about that topic. But it just seems so. On the contrary, the greatest challenge in writing this book was the abundance of material and exciting ideas about how to apply Semantic Web technologies to education. I knew from the very beginning that I will have to select carefully from many theories, practices, evolving ideas and approaches, and important research efforts, in order to compose a coherent whole. Worse still, I also knew that I will have to leave out of the book many other results, initiatives, and ongoing projects that would certainly be worth describing under more relaxed constraints. Thus, the endeavor was exhausting. The Semantic Web is about how to deploy artificial intelligence concepts and techniques on the Web, in order to harness the Web and make it more useful, more user-centered, and more responsive to human interaction.

According to the W3C Semantic Web Activity [1]: The Semantic Web provides a common framework that allows data to be shared and reused across appli- tion, enterprise, and community boundaries. This statement clearly explains that the Semantic Web is about data sharing. Currently, the Web uses hyperlinks to connect Web pages. The Semantic Web goes beyond that and focuses on data and envisions the creation of the web of data. On the Semantic Web, anyone can say anything about any resource on the Web. This is fully based on the concept of semantic - notations, where each resource on the Web can have an assigned meaning. This is done through the use of ontologies as a formal and explicit representation of domain concepts and their relationships [2]. Ontologies are formally based on description logics. This enables agents and applications to reason over the data when searching the Web, which has not previously been possible. Web 2. 0 has gradually evolved from letting the Web users play a more active role. Unlike the initial version of the Web, where the users mainly “consumed” content, users are now offered easy-to-use services for content production and publication. Mashups, blogs, wikis, feeds, interface remixes, and social networking/tagging s- tems are examples of these well-known services. The success and wide adoption of Web 2. 0 was in its reliance on social interactions as an inevitable characteristic of the use and life of the Web. In particular, Web 2.

Writing the preface for a book feels good, because once you find yourself in a situation to write tiie preface, it usually means that you have already written the rest of the book. Writing this book was a real challenge. I would have probably never written it if there was not Stefan Voss from the University of Hamburg to propose me to write it - thanks Stefan! It may seem that it is not very difficult to describe the application of a relatively young technology, such as the Semantic Web, to the domain of education. It may seem that there is actually not much to write about that topic. But it just seems so. On the contrary, the greatest challenge in writing this book was the abundance of material and exciting ideas about how to apply Semantic Web technologies to education. I knew from the very beginning that I will have to select carefully from many theories, practices, evolving ideas and approaches, and important research efforts, in order to compose a coherent whole. Worse still, I also knew that I will have to leave out of the book many other results, initiatives, and ongoing projects that would certainly be worth describing under more relaxed constraints. Thus, the endeavor was exhausting. The Semantic Web is about how to deploy artificial intelligence concepts and techniques on the Web, in order to harness the Web and make it more useful, more user-centered, and more responsive to human interaction.

Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and consultants by examining technologies and applications of demonstrable value. The conference focused on profitable intelligent systems and technologies.AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference.

This volume constitutes the proceedings of 2nd International Conference on Advanced Computing Techniques in Engineering & Technology, ACTET 2025, in Jaipur, India, during February 12–13, 2025. The 30 full papers presented in this volume were carefully reviewed and selected from 106 submissions.

Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are largely unfamiliar with these. Gaševic and his co-authors try to fill this gap by detailing how to use model-driven engineering for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMG's new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. For this second edition, the descriptions of the related standards (like MOF, ODM, OCL, and OWL) have been revised and updated; new chapters introducing the basic principles of model-driven engineering, recent research results on metamodeling Semantic Web rule languages, an introduction to the Atlas Transformation Language (ATL) and its tool support, and, last but not least, many new examples have been added.

Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are largely unfamiliar with these. Gaševic and his co-authors try to fill this gap by detailing how to use model-driven engineering for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMG's new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. For this second edition, the descriptions of the related standards (like MOF, ODM, OCL, and OWL) have been revised and updated; new chapters introducing the basic principles of model-driven engineering, recent research results on metamodeling Semantic Web rule languages, an introduction to the Atlas Transformation Language (ATL) and its tool support, and, last but not least, many new examples have been added.

This book is a collection of best selected research papers presented at the International Conference on Modern Practices and Trends in Expert Applications and Security (MP-TEAS 2024). This book contains articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the areas of artificial intelligence and cyber physical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas.

The book covers current developments in the field of computer system security using cryptographic algorithms and other security schemes for system as well as cloud.

This book contains high quality research papers accepted and presented at the International Conference on Intelligent Computing, Communication and Information Security (ICICCIS 2022), organized by Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, India during 25-26, November 2022.