Dieter Fensel Livres

Service-oriented computing has emerged as a key focus in IT research and development. Despite advancements in standardization from research to industrial applications, significant human effort remains in locating and executing Web services. Dieter Fensel and his team provide a foundational understanding of the Semantic Web Services infrastructure, designed to minimize human intervention and enable seamless integration of information systems. Their work emphasizes the advanced SWS infrastructure, particularly SESA, along with related initiatives like the Web Services Execution Environment (WSMX) and the Semantic Execution Environment (OASIS SEE TC) standardization effort. The book is structured into four parts: Part I introduces the field and its history, covering essential Web technologies and the current state of research and standardization in the Semantic Web. Part II details the SESA architecture, outlining its components and how they form a cohesive software architecture for implementation. Part III explores middleware services, discussing the conceptual functionalities required by the architecture and how these are realized through middleware services. Finally, Part IV demonstrates the application of the SESA architecture in real-world scenarios and reviews compatible systems. Aimed at professionals and academic researchers in semantic integration, the book teaches how to leverage the Semantic Web Services infrastructu

Service-oriented computing is an emerging factor in IT research and development. Organizations like W3C and the EU have begun research projects to develop industrial-strength applications. This book offers a thorough, practical introduction to one of the most promising approaches – the Web Service Modeling Ontology (WSMO). After a brief review of technologies and standards of the Worldwide Web, the Semantic Web, and Web Services, the book examines WSMO from the fundamentals to applications in e-commerce, e-government and e-banking; it also describes its relation to OWL-S and WSDL-S and other applications. The book offers an up-to-date introduction, plus pointers to future applications.

The Semantic Web Services (SWS) approach is about describing services with metadata on the basis of domain ontologies as a means to enable their automatic location, execution, combination, and use.

Ontologies have been developed and investigated for quite a while now in artificial intelligence and natural language processing to facilitate knowledge sharing and reuse. More recently, the notion of ontologies has attracted attention from fields such as intelligent information integration, cooperative information systems, information retrieval, electronic commerce, and knowledge management. 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. In the second part of the book, the author presents a more technical view on emerging Web standards, like XML, RDF, XSL-T, or XQL, allowing for structural and semantic modeling and description of data and information.

The 1st International Workshop on Common Value Management (CVM2012) focuses on one of today's major trends, not only in relation to semantic technology research, but also in relation to the industries' huge demand for tools and consulting in the domain of social media. The term Common Value Management (CVM) serves as an umbrella for three major aspects of today's organization on-line communication: Yield Management which is mostly about maximizing the short term gain of an enterprise, Brand Management which is about applying marketing techniques to specific product, product line, or brand and, Reputation Management which involves tracking an entity's actions and other entities' opinions about those actions, reporting on those actions and opinions and reacting to that report creating a feedback loop. The workshop focuses on the scientific and technical aspects of semantics in relation to these topics. In this context, the aims of the workshop are to get an insight into the current state of the art and to mark the current academic and industrial trends in this field.

In the mid-1990s, Tim Berners-Lee envisioned transforming the World Wide Web into a "Semantic Web," enabling machines to interpret information for automatic data exploitation. Professor Rudi Studer was among the first to explore this concept, spearheading projects like ONTOBROKER and On-to-Knowledge, which contributed to W3C standards such as RDF and OWL. By the late 1990s, Rudi established a research group at the University of Karlsruhe, which became a pivotal center for Semantic Web research, influencing many prominent research groups founded by his students or through collaboration. This book, celebrating Rudi’s 60th birthday, features reflections from numerous colleagues on the significant research achievements of the past two decades. Edited by Dieter Fensel, one of Rudi’s early PhD students, it includes contributions from an impressive array of experts in Knowledge Management, Ontology Engineering, Service Management, and Semantic Search. Overall, it offers a comprehensive overview of the current state of Semantic Web research, blending historical insights with contemporary developments, and aims to fulfill the vision of a “Web of knowledge, software, and services.”

These proceedings contain the papers accepted for presentation at the Second International Semantic Web Conference (ISWC 2003) held on Sanibel Island, Florida, U. S. A. , October 20–23, 2003. Following the success of ISWC 2002 that washeldinSardiniainJune2002, ISWC2003enjoyedagreatlyincreasedinterest in the conference themes. The number of submitted papers more than doubled compared with ISWC 2002 to 283. Of those, 262 were submitted to the research track and 21 to the industrial track. With rare exceptions, each submission was evaluated by three program committee members whose reviews were coordinated by members of the senior program committee. This year 49 papers in the research track and 9 papers in the industrial track were accepted. The high quality of ISWC 2003 was the result of the joint e? ort of many people. First of all we would like to thank the authors for their high-quality submissions and the members of the program committee for their reviewing and review coordination e? orts. We would like to extend special thanks to Christoph Bussler for chairing the industrial track, to Mike Dean for his help with the conference management software, the web site, and conference publicity, and to Massimo Paolucci for helping with the organization of the proceedings and arranging sponsorships.

Researchers in Artificial Intelligence have traditionally been classified into two categories: the “neaties” and the “scruffies”. According to the scruffies, the neaties concentrate on building elegant formal frameworks, whose properties are beautifully expressed by means of definitions, lemmas, and theorems, but which are of little or no use when tackling real-world problems. The scruffies are described (by the neaties) as those researchers who build superficially impressive systems that may perform extremely well on one particular case study, but whose properties and underlying theories are hidden in their implementation, if they exist at all. As a life-long, non-card-carrying scruffy, I was naturally a bit suspicious when I first started collaborating with Dieter Fensel, whose work bears all the formal hallmarks of a true neaty. Even more alarming, his primary research goal was to provide sound, formal foundations to the area of knowledge-based systems, a traditional stronghold of the scruffies - one of whom had famously declared it “an art”, thus attempting to place it outside the range of the neaties (and to a large extent succeeding in doing so).

This book features the proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle in May 1999. The high number of submissions reflects the mature status of the knowledge acquisition community. Initially, knowledge acquisition aimed to address the primary challenge in developing expert systems—gathering knowledge from human experts. Various methods and tools have been created to enhance this process, significantly reducing the costs associated with developing knowledge-based systems. However, these systems often fell short of their intended tasks, and maintenance remained a challenge. This led to a paradigm shift, viewing the development of knowledge-based systems as a modeling activity rather than merely transferring human knowledge into machine-readable code. A knowledge model is constructed through interaction with users and experts, focusing on providing a knowledge-level characterization of what the system needs to solve specific tasks, rather than strictly reflecting existing human expertise. Efficiency and quality in system development and maintenance are achieved through reusable problem-solving methods and ontologies, which abstract from specific applications and domains, facilitating knowledge reuse.