This textbook addresses the conceptual and practical aspects of the various phases of the lifecycle of service systems, ranging from service ideation, design, implementation, analysis, improvement and trading associated with service systems engineering. Written by leading experts in the field, this indispensable textbook will enable a new wave of future professionals to think in a service-focused way with the right balance of competencies in computer science, engineering, and management. Fundamentals of Service Systems is a centerpiece for a course syllabus on service systems. Each chapter includes a summary, a list of learning objectives, an opening case, and a review section with questions, a project description, a list of key terms, and a list of further reading bibliography. All these elements enable students to learn at a faster and more comfortable peace. For researchers, teachers, and students who want to learn about this new emerging science, Fundamentals of Service Systems provides an overview of the core disciplines underlying the study of service systems. It is aimed at students of information systems, information technology, and business and economics. It also targets business and IT practitioners, especially those who are looking for better ways of innovating, designing, modeling, analyzing, and optimizing service systems.

An ontology is a formal description of concepts and relationships that can exist for a community of human and/or machine agents. The notion of ontologies is crucial for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies considering ontology languages, ontology engineering methods, example ontologies, infrastructures and technologies for ontologies, and how to bring this all into ontology-based infrastructures and applications that are among the best of their kind. The field of ontologies has tremendously developed and grown in the five years since the first edition of the "Handbook on Ontologies". Therefore, its revision includes 21 completely new chapters as well as a major re-working of 15 chapters transferred to this second edition.

This textbook addresses the conceptual and practical aspects of the various phases of the lifecycle of service systems, ranging from service ideation, design, implementation, analysis, improvement and trading associated with service systems engineering. Written by leading experts in the field, this indispensable textbook will enable a new wave of future professionals to think in a service-focused way with the right balance of competencies in computer science, engineering, and management. Fundamentals of Service Systems is a centerpiece for a course syllabus on service systems. Each chapter includes a summary, a list of learning objectives, an opening case, and a review section with questions, a project description, a list of key terms, and a list of further reading bibliography. All these elements enable students to learn at a faster and more comfortable peace. For researchers, teachers, and students who want to learn about this new emerging science, Fundamentals of Service Systems provides an overview of the core disciplines underlying the study of service systems. It is aimed at students of information systems, information technology, and business and economics. It also targets business and IT practitioners, especially those who are looking for better ways of innovating, designing, modeling, analyzing, and optimizing service systems.

This book constitutes the refereed proceedings of the 8th Metadata and Semantics Research Conference, MTSR 2014, held in Karlsruhe, Germany, in November 2014. The 23 full papers and 9 short papers presented were carefully reviewed and selected from 57 submissions. The papers are organized in several sessions and tracks. They cover the following topics: metadata and linked data: tools and models; (meta) data quality assessment and curation; semantic interoperability, ontology-based data access and representation; big data and digital libraries in health, science and technology; metadata and semantics for open repositories, research information systems and data infrastructure; metadata and semantics for cultural collections and applications; semantics for agriculture, food and environment.

Intelligent Information Processing presents new research with special emphasis on knowledge-based system architecture and intelligent information management. The following topics are addressed: -Agent-based Computing; -Semantic Web and Learning; -Ontology Management; -Semantic Web Architecture; -Knowledge-engineering Frameworks; -Knowledge-system Structure; -Data Mining; -Methods and Tools for Identifying Communities of Practice; and -Implementing Problem Solvers.

In this volume, Rudi Studer and his team deliver a self-contained compendium about the exciting field of Semantic Web services, starting with the basic standards and technologies and also including advanced applications in eGovernment and eHealth. The contributions provide both the theoretical background and the practical knowledge necessary to understand the essential ideas and to design new cutting-edge applications.

An ontology is a formal description of concepts and relationships that can exist for a community of human and/or machine agents. The notion of ontologies is crucial for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies considering ontology languages, ontology engineering methods, example ontologies, infrastructures and technologies for ontologies, and how to bring this all into ontology-based infrastructures and applications that are among the best of their kind. The field of ontologies has tremendously developed and grown in the five years since the first edition of the "Handbook on Ontologies." Therefore, its revision includes 21 completely new chapters as well as a major re-working of 15 chapters transferred to this second edition.

In this volume, Rudi Studer and his team deliver a self-contained compendium about the exciting field of Semantic Web services, starting with the basic standards and technologies and also including advanced applications in eGovernment and eHealth. The contributions provide both the theoretical background and the practical knowledge necessary to understand the essential ideas and to design new cutting-edge applications.

This book constitutes the refereed proceedings of the First European Semantic Web Symposium, ESWS 2004, held in Heraklion, Crete, Greece in May 2004.

The 33 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on ontology engineering, ontology matching and mapping, ontology-based querying, ontology merging and population, infrastructure, semantic web services, service discovery and composition, data from the semantic web, knowledge presentation, applications, content management, and information management and integration.

Intelligent Information Processing presents new research with special emphasis on knowledge-based system architecture and intelligent information management. The following topics are addressed:

-Agent-based Computing;
-Semantic Web and Learning;
-Ontology Management;
-Semantic Web Architecture;
-Knowledge-engineering Frameworks;
-Knowledge-system Structure;
-Data Mining;
-Methods and Tools for Identifying Communities of Practice; and
-Implementing Problem Solvers.

Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW '99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.

Neuere Entwicklungen im Datenbank- und Informationssystembereich sind u.a. gekennzeichnet durch die Bereitstellung sehr m{chtiger semantischer bzw. objektorientierter Datenmodelle, um den Anforderungen aus sogenannten Nicht-Standardanwendungen wie z.B. dem B}robereich gerecht zu werden. Daraus ergeben sich unmittelbar neue Problemstellungen imHinblick auf die Entwurfs- und Modellierungsaufgaben, die mit dem Einsatz derartiger m{chtiger Datenmodelle verbunden sind. Betrachtet manandererseits Entwicklungstendenzen im Bereich der K}nstlichen Intelligenz, so wird Fragen der systematischen Entwicklung Wissensbasierter Systeme eine immer gr- ere Wichtigkeit beigemessen. Dabei spielen u.a. Phasen-Systeme und damit verbunden der Aufbau geeigneter Modelle eine zentrale Rolle. Dementsprechend hat der 2. Workshop "Informationssysteme und K}nstliche Intelligenz" gerade das Gebiet der Modellierung als generelles Thema. Zielsetzung ist dabei, auf dem Gebiet derModellierung Gemeinsamkeiten und Unterschiede von Problemstellungen bzw. L-sungsans{tzen, die in den Fachdisziplinen K}nstliche Intelligenz und Informationssysteme/Datenbanksysteme identifiziert bzw. entwickelt worden sind, herauszuarbeiten. Damit soll gleichzeitig der Gedankenaustausch zwischen den beteiligten Fachdisziplinen gef-rdertund die Zusammenarbeit }ber Fachdisziplinen hinweg verbessert werden.

This volume contains the papers presented at the International Scientific Symposium "Natural Language and Logic" held in Hamburg in May 1989. The aim of the papers is to present and discuss latest developments in the application of logic-based meth- ods for natural language understanding. Logic-based methods have gained in importance in the field of computational linguistics as well as for representing various types of knowledge in natural language understanding systems. The volume gives an overview of recent results achieved within the LILOG project (LInguistic and LOgic methods for understanding German texts) - one of the largest research projects in the field of text understanding - as well as within related natural language understanding systems.

Damit Softwareproduktionsumgebungen in grosseren Softwareentwicklungsprojekten wirkungsvoll eingesetzt werden konnen, mussen sie leistungsfahige Unterstutzungsfunktionen anbieten, die auf die Bedurfnisse der beteiligten Projektmitarbeiter ausgerichtet sind. In dieser Arbeit werden Konzepte fur eine verteilte wissensbasierte Softwareproduktionsumgebung, DIKOS (Distributed Knowledge-Based Software Engineering Environment), entwickelt, in deren Wissensbasis alle fur ein Softwareentwicklungsprojekt relevanten Informationen verwaltet werden. Dabei werden insbesondere Aspekte der Kooperation und Kommunikation der beteiligten Projektmitarbeiter betrachtet. Zur Beschreibung der in der DIKOS-Wissensbasis verwalteten Objekte sowie der zur Manipulation der Objekte definierten Funktionen werden "THM-Netze" eingefuhrt, die Konzepte semantischer Datenmodelle mit Pradikat-Transitions-Netzen vereinigen und zusatzlich uber Modellierungskonzepte zur Beschreibung von Zeitaspekten verfugen. Unter Verwendung von THM-Netzen wird ein Benutzerinformationssystem formal spezifiziert, das die Kooperation und Kommunikation zwischen den Projektmitarbeitern unterstutzt und teilweise automatisiert. Abschliessend wird die grundlegende Gestaltung der DIKOS-Benutzerschnittstelle beschrieben, wobei insbesondere die Dialogfunktionen des Benutzerinformationssystems betrachtet werden. Es wird ein abstraktes Dialogmodell eingefuhrt, das die streng formale Spezifikation interaktiver Benutzerschnittstellen ermoglicht."