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In the mid 1990s, Tim Berners-Lee had the idea of developing the World Wide Web into a „Semantic Web“, a web of information that could be interpreted by machines in order to allow the automatic exploitation of data, which until then had to be done by humans manually. One of the first people to research topics related to the Semantic Web was Professor Rudi Studer. From the beginning, Rudi drove projects like ONTOBROKER and On-to-Knowledge, which later resulted in W3C standards such as RDF and OWL. By the late 1990s, Rudi had established a research group at the University of Karlsruhe, which later became the nucleus and breeding ground for Semantic Web research, and many of today’s well-known research groups were either founded by his disciples or benefited from close cooperation with this think tank. In this book, published in celebration of Rudi’s 60th birthday, many of his colleagues look back on the main research results achieved during the last 20 years. Under the editorship of Dieter Fensel, once one of Rudi’s early PhD students, an impressive list of contributors and contributions has been collected, covering areas like Knowledge Management, Ontology Engineering, Service Management, and Semantic Search. Overall, this book provides an excellent overview of the state of the art in Semantic Web research, by combining historical roots with the latest results, which may finally make the dream of a “Web of knowledge, software and services” come true.

Computer-assisted instruction. --- Distance education. --- Knowledge management. --- Semantic Web --- Keyword searching --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Telecommunications --- Computer Science --- Semantic Web. --- Keyword searching. --- Free text searching --- Full text searching --- Natural language searching --- Computer science. --- Information technology. --- Business --- Information storage and retrieval. --- Artificial intelligence. --- Application software. --- Computer Science. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- IT in Business. --- Computer Appl. in Administrative Data Processing. --- Data processing. --- Electronic information resource searching --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Information storage and retrieva. --- Information systems. --- Artificial Intelligence. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Business—Data processing. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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Ontologies have been developed and investigated for some time in artificial intelligence to facilitate knowledge sharing and reuse. More recently, the notion of ontologies has attracted attention from fields such as databases, intelligent information integration, cooperative information systems, information retrieval, electronic commerce, enterprise application integration, and knowledge management. This broadened interest in ontologies is based on the feature that they provide a machine-processable semantics of information sources that can be communicated among agents as well as between software artifacts and humans. This feature makes ontologies the backbone technology of the next web generation, i.e., the Semantic Web. Ontologies are currently applied in areas such as knowledge management in large company-wide networks and call centers, and in B2C, B2G, and B2B electronic commerce. In a nutshell, ontologies enable effective and efficient access to heterogeneous and distributed information sources. Given the increasing amount of information available online, this kind of support is becoming more important day by day. The author systematically introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce. He also describes ontology languages (XML, RDF, and OWL) and ontology tools, and the application of ontologies. In addition to structural improvements, the second edition covers recent developments relating to the Semantic Web, and emerging web-based standard languages. .

Database management. --- Electronic commerce. --- Semantic Web. --- Trade. --- Business. --- Commerce. --- Artificial intelligence. --- Computer science. --- User interfaces (Computer systems). --- E-commerce. --- Information technology. --- Business—Data processing. --- Artificial Intelligence. --- Computer Science, general. --- User Interfaces and Human Computer Interaction. --- e-Commerce/e-business. --- IT in Business. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Trade --- Economics --- Business --- Transportation --- Management --- Industrial management --- Traffic (Commerce) --- Merchants

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Semantic web --- Keyword searching --- Keyword searching. --- Semantic Web.

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This book contains the refereed proceedings of the 11th International Conference on Business Information Systems, BIS 2008, held in Innsbruck, Austria, in May 2008. The 41 revised full papers were carefully reviewed and selected for inclusion in the book. The contributions cover research trends as well as current achievements and cutting edge developments in the area of modern business information systems. They are grouped in sections on business process management, service discovery and composition, ontologies, information retrieval, enterprise resource planning, interoperability, mobility and contexts, wikis and folksonomies, and rules and semantic queries.

Business --- Information storage and retrieval systems --- Data processing --- Business. --- Operations research. --- Decision making. --- Information technology. --- Software engineering. --- Application software. --- E-commerce. --- Business and Management. --- Operation Research/Decision Theory. --- IT in Business. --- Information Systems Applications (incl. Internet). --- Computer Appl. in Administrative Data Processing. --- e-Commerce/e-business. --- Software Engineering. --- Data processing. --- Information systems. --- Operations Research/Decision Theory. --- Computer software engineering --- Engineering --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Business—Data processing. --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making --- Business information services. --- Information technology --- Electronic commerce. --- Operations Research and Decision Theory. --- Computer and Information Systems Applications. --- Computer Application in Administrative Data Processing. --- e-Commerce and e-Business. --- Management. --- Business enterprises --- Information services

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This textbook introduces the theoretical foundations of technologies essential for knowledge graphs. It also covers practical examples, applications and tools. Knowledge graphs are the most recent answer to the challenge of providing explicit knowledge about entities and their relationships by potentially integrating billions of facts from heterogeneous sources. The book is structured in four parts. For a start, Part I lays down the overall context of knowledge graph technology. Part II “Knowledge Representation” then provides a deep understanding of semantics as the technical core of knowledge graph technology. Semantics is covered from different perspectives, such as conceptual, epistemological and logical. Next, Part III “Knowledge Modelling” focuses on the building process of knowledge graphs. The book focuses on the phases of knowledge generation, knowledge hosting, knowledge assessment, knowledge cleaning, knowledge enrichment, and knowledge deployment to cover a complete life cycle for this process. Finally, Part IV (simply called “Applications”) presents various application areas in detail with concrete application examples as well as an outlook on additional trends that will emphasize the need for knowledge graphs even stronger. This textbook is intended for graduate courses covering knowledge graphs. Besides students in knowledge graph, Semantic Web, database, or information retrieval classes, also advanced software developers for Web applications or tools for Web data management will learn about the foundations and appropriate methods.

Artificial intelligence. --- Information storage and retrieval systems. --- Expert systems (Computer science). --- Natural language processing (Computer science). --- Artificial Intelligence. --- Information Storage and Retrieval. --- Knowledge Based Systems. --- Natural Language Processing (NLP).