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Information Modelling and Knowledge Bases XXIV
With the growth in our reliance on information systems and computer science information modeling and knowledge bases have become a focus for academic attention and research. The amount and complexity of information, the number of levels of abstraction and the size of databases and knowledge bases all continue to increase, and new challenges and problems arise every day.This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes such as the design and specification of information systems, software engineering and knowledge and process management.
Information Modelling and Knowledge Bases XVII
Provide research communities in information modelling and knowledge bases with scientific results and experiences achieved by using innovative methodologies in computer science and other disciplines related to linguistics, philosophy, and psychology.
Information Modelling and Knowledge Bases III
Papers direct the focus of interest to the development and use of conceptual models in information systems of various kinds and aim at improving awareness about general or specific problems and solutions in conceptual modelling.
Information Modelling and Knowledge Bases XVIII
In the last decades, information modelling and knowledge bases have become hot topics not only in academic communities related to information systems and computer science, but also in business areas where information technology is applied. This book aims to exchange scientific results and experiences achieved in computer science and other related disciplines using innovative methods and progressive approaches. A platform has been established drawing together researchers as well as practitioners dealing with information modelling and knowledge bases. The main topics of this publication target the variety of themes in the domain of information modelling, conceptual analysis, design and specification of information systems, ontologies, software engineering, knowledge and process management, data and knowledge bases. The editors also aim at applying new progressive theories.
Information Modelling and Knowledge Bases XX
Focuses on theoretical disciplines including cognitive science, artificial intelligence, logic, linguistics and analytical philosophy.
Information Modelling and Knowledge Bases XV
This book will provide research communities in Europe and Japan with an overview of scientific results and experiences achieved using innovative methods and approaches in computer science and other disciplines, which have a common interest in understanding and solving problems on information modelling and knowledge bases, as.
Diffusion and Adoption of Information Technology
It. is well known that t.he introduction of a new technology in one organization not always produces the intended benefits (Levine, 1994). In many cases, either the receivers do not reach the intended level of use or simply the technology is rejected because it does not match with the expectations (true or false) and the accepted psychological effort to use it. The case of formal methods is a paradigmatic example of continual failures. The published cases with problems or failures only constitute the visible part of a large iceberg of adoption cases. It. is difficult to get companies to openly express the problems they had; however, from the experience of the author, failure cases are very c...
Information Modelling and Knowledge Bases XXIII
Information modelling and knowledge bases have become hot topics, not only in academic communities concerned with information systems and computer science, but also wherever information technology is applied in the world of business. This book presents the proceedings of the 21st European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2011), held in Tallinn, Estonia, in June 2011. The EJC conferences provide a worldwide forum for researchers and practitioners in the field to exchange results and experiences achieved in computer science and related disciplines such as conceptual analysis, design and specification of information systems, multimedia information modelling,...
Perspectives on Ontology Learning
Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.
