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Ontology Engineering
Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data generated on a daily basis has exploded. As of 2014, 90% of the data in the digital universe was generated in the two years prior, and the volume of data was projected to grow from 3.2 zettabytes to 40 zettabytes in the next six years. The very real issues that government, research, and commercial organizations are facing in order to sift through this amount of information to support decision-making alone mandate increasing automation. Yet, the data profiling, NLP, and learning algorithms that are ground-zero for data integration, manipulat...
Conceptual Structures: Logical, Linguistic, and Computational Issues
Computerscientistscreatemodelsofaperceivedreality.ThroughAItechniques, these models aim at providing the basic support for emulating cognitive - havior such as reasoning and learning, which is one of the main goals of the AI research e?ort. Such computer models are formed through the interaction of various acquisition and inference mechanisms: perception, concept learning, conceptual clustering, hypothesis testing, probabilistic inference, etc., and are represented using di?erent paradigms tightly linked to the processes that use them. Among these paradigms let us cite: biological models (neural nets, genetic programming), logic-based models (?rst-order logic, modal logic, rule-based s- tems...
The Description Logic Handbook
Description Logics are a family of knowledge representation languages that have been studied extensively in Artificial Intelligence over the last two decades. They are embodied in several knowledge-based systems and are used to develop various real-life applications. The Description Logic Handbook provides a thorough account of the subject, covering all aspects of research in this field, namely: theory, implementation, and applications. Its appeal will be broad, ranging from more theoretically-oriented readers, to those with more practically-oriented interests who need a sound and modern understanding of knowledge representation systems based on Description Logics. The chapters are written by some of the most prominent researchers in the field, introducing the basic technical material before taking the reader to the current state of the subject, and including comprehensive guides to the literature. In sum, the book will serve as a unique reference for the subject, and can also be used for self-study or in conjunction with Knowledge Representation and Artificial Intelligence courses.
The Semantic Web - ISWC 2003
This book constitutes the refereed proceedings of the Second International Semantic Web Conference, ISWC 2003, held at Sanibel Island, Florida, USA in October 2003. The 58 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on foundations; ontological reasoning; semantic Web services; security, trust, and privacy; agents and the semantic Web; information retrieval; multimedia; tools and methodologies; applications; and industrial perspectives.
Trust Management
This book constitutes the refereed proceedings of the Third International Conference on Trust Management, iTrust 2005, held in Paris, France in May 2005. The 21 revised full papers and 4 revised short papers presented together with 2 keynote papers and 7 trust management tool and systems demonstration reports were carefully reviewed and selected from 71 papers submitted. Besides technical issues in distributed computing and open systems, topics from law, social sciences, business, and psychology are addressed in order to develop a deeper and more comprehensive understanding of current aspects and challenges in the area of trust management in dynamic open systems.
Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges
The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the p...
Journal on Data Semantics VI
• Data warehousing and semantic data mining • Spatial, temporal, multimedia and multimodal semantics • Semantics in data visualization • Semantic services for mobile users • Supporting tools • Applications of semantic-driven approaches These topics are to be understood as speci?cally related to semantic issues. Contributions submitted to the journal and dealing with semantics of data will be considered even if they are not within the topics in the list. While the physical appearanceof the journal issues looks like the books from the well-known Springer LNCS series, the mode of operation is that of a jo- nal. Contributions can be freely submitted by authors and are reviewed by the...
Semantic Web Technologies for Enterprise 2.0
In this book, we detail different theories, methods and implementations combining Web 2.0 paradigms and Semantic Web technologies in Enterprise environments. After introducing those terms, we present the current shortcomings of tools such as blogs and wikis as well as tagging practices in an Enterprise 2.0 context. We define the SemSLATES methodology and the global vision of a middleware architecture based on Semantic Web technologies and Linked Data principles (languages, models, tools and protocols) to solve these issues. Then, we detail the various ontologies that we build to achieve this goal. We present on the one hand the models dedicated to socio-structural meta-data, especially SIOC ...
The Semantic Web: Research and Applications
This book constitutes the refereed proceedings of the 3rd European Semantic Web Conference, ESWC 2006. The book presents 48 revised full papers with abstracts of 3 invited talks. The papers are organized in topical sections on ontology alignment, engineering, evaluation, evolution and learning, rules and reasoning, searching and querying, semantic annotation, semantic web mining and personalisation, semantic web services, semantic wiki and blogging, as well as trust and policies.
