Modular Ontologies

This book constitutes a collection of research achievements mature enough to provide a firm and reliable basis on modular ontologies. It discusses the recent concepts, theories and techniques for knowledge modularization.

This book constitutes a collection of research achievements mature enough to provide a firm and reliable basis on modular ontologies. It gives the reader a detailed analysis of the state of the art of the research area and discusses the recent concepts, theories and techniques for knowledge modularization. The 13 papers presented in this book were all carefully reviewed before publication. They have been organized in three parts: Part I gives a general introduction to the idea and issues characterizing modularization and offers an in-depth analysis of properties, criteria and knowledge import techniques for modularization. Part II describes four major research proposals for creating modules from an existing ontology either by partitioning an ontology into a collection of modules or by extracting one or more modules from the ontology. Part III reports on collaborative approaches where modules that pre-exist are linked together through mappings to form a virtual large ontology.

Title page; Preface; Contents; Towards Ontology Use, Re-Use and Abuse in a Computational Creativity Collective; Ontology Modularity, Information Flow, and Interaction-Situated Semantics; The Modular Structure of an Ontology: An Empirical Study; Extracting and Merging Contextualized Ontology Modules; A Metric Suite for Evaluating Cohesion and Coupling in Modular Ontologies; Towards a Functional Approach to Modular Ontologies Using Institutions; Introducing Ontology Best Practices and Design Patterns into Robotics: USAREnv; Modular Upper-Level Ontologies for Semantic Complex Event Processing.

Spatial information describes types, relations, and various different aspects of space. This PhD thesis investigates how modular ontologies can model spatial information. Particularly, different perspectives on space are analyzed. A perspectival framework for spatial ontology modules is presented that allows the integration and combination of different facets of spatial information. This work discusses perspectives on space by distinguishing and categorizing quantitative, qualitative, abstract, domain-specific, and modal types of spatial information. Application examples are presented for spatial natural language interpretation, image recognition, and architectural design. The results are achieved by theoretical analyses of spatial domains as well as empirical and experimental findings from different disciplines related to the spatial domain. Technically, methods from formal ontology and ontological engineering are applied.

The emergence of Web technologies for the distribution of an immense amount of data and knowledge has given rise to the need for supportive frameworks for kno- edge management. Semantic Web technologies aim at providing shared semantic spaces for Web contents, such that people, applications and communities can use a common platform to share information. Canadian Semantic Web: Technologies and Applications aims at contributing to the advancement of the Semantic Web by providing the most recent signi?cant - search on Semantic Web theory, techniques and applications in academia, industry and government in Canada and all over the world. It also enlightens possible - mantic Web research directions in future by reporting some works in-progress that presenton-goingresearchonprinciplesandapplicationsoftheSemanticWeb,while their implementation or deployment may have not been completed. This book consists of ten chapters. The chapters are extended versions of a - lected set of papers from the second Canadian Semantic Web Working Symposium (CSWWS 2009) and the twenty-?rst international Conference on Software En- neering and Knowledge Engineering (SEKE 2009). CSWWS 2009 was held in Kelowna, British Columbia in May 2009. Since many of the challenging aspects of the research problems tackled in the Semantic Web area fall in the realm of Ar- ?cial Intelligence or employ of AI techniques, CSWWS 2009 was organized in - nd sociation with the 22 Canadian Conference on Arti?cial Intelligence.

This book constitutes the refereed proceedings of the 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, held in Windsor, Canada, in May 2008. The 30 revised full papers presented together with 5 revised short papers were carefully reviewed and selected from 75 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI techniques to modern problem domains as well as recent techniques to historical problem settings.

Proceedings of the Fifth International Worksh. Modularity has been and continues to be one of the central research topics in ontology engineering, still catching up with 40 years of related research in software engineering. The workshops on Modular Ontologies WoMO bring together researchers from dif

The role of artificial intelligence (AI) applications in fields as diverse as medicine, economics, linguistics, logical analysis and industry continues to grow in scope and importance. AI has become integral to the effective functioning of much of the technical infrastructure we all now take for granted as part of our daily lives. This book presents the papers from the 21st biennial European Conference on Artificial Intelligence, ECAI 2014, held in Prague, Czech Republic, in August 2014. The ECAI conference remains Europe's principal opportunity for researchers and practitioners of Artificial Intelligence to gather and to discuss the latest trends and challenges in all subfields of AI, as well as to demonstrate innovative applications and uses of advanced AI technology. Included here are the 158 long papers and 94 short papers selected for presentation at the conference. Many of the papers cover the fields of knowledge representation, reasoning and logic as well as agent-based and multi-agent systems, machine learning, and data mining. The proceedings of PAIS 2014 and the PAIS System Demonstrations are also included in this volume, which will be of interest to all those wishing to keep abreast of the latest developments in the field of AI.