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Messages, Meanings and Symbols
A deep and penetrating exploration of the key concepts of information and communications sciences by one of its founders, this book covers everything in its subject that you want to know more about including the bedrock topics of signs, symbols, information, and communication, all considered from an historical and foundational perspective that is satisfying to the beginning student and worthwhile for practitioners of long standing. All the major players are given their role, from Shannon and Weaver to Tim Berners-Lee, with Marshall McLuhan an engaging participant. Communication in all its forms—be it print or electronic media, mass communication as well as person-to-person messaging, whether by mail, telephone, gesture, or email—is thoroughly examined in this book, which can serve as either an introductory text to undergraduates in information science, an interesting read for the layman, or as a refresher for the communications professional.
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.
Knowledge and Knowing in Library and Information Science
This landmark work traces the heritage of thought, from the beginnings of modern science in the seventeenth century, until today, that has influenced the profession of library and information science.
On Fuzziness
The notion of Fuzziness stands as one of the really new concepts that have recently enriched the world of Science. Science grows not only through technical and formal advances on one side and useful applications on the other side, but also as consequence of the introduction and assimilation of new concepts in its corpus. These, in turn, produce new developments and applications. And this is what Fuzziness, one of the few new concepts arisen in the XX Century, has been doing so far. This book aims at paying homage to Professor Lotfi A. Zadeh, the “father of fuzzy logic” and also at giving credit to his exceptional work and personality. In a way, this is reflected in the variety of contrib...
Open and Shut Cases
The reader can use visual clues and deductive reasoning to help Daisy and Ridley solve forty puzzling mysteries, with solutions presented at the back.
Ontological Engineering Approach of Developing Ontology of Information Science
Ontology has been a subject of many studies carried out in artificial intelligence (AI) and information system communities. Ontology has become an important component of the semantic web, covering a variety of knowledge domains. Although building domain ontologies still remains a big challenge with regard to its designing and implementation, there are still many areas that need to create ontologies. Information Science (IS) is one of these areas that need a unified ontology model to facilitate information access among the heterogeneous data resources and share a common understanding of the domain knowledge. Recently, the development of domain ontologies has become increasingly important for knowledge level interoperation and information integration. They provide functional features for AI and knowledge representation. Domain Ontology is a central foundation of growth for the semantic web that provides a general knowledge for correspondence and communication among heterogeneous systems. Particularly with a rise of ontology in the artificial intelligence (AI) domain, it can be seen as an almost inevitable development in computer science and AI in general.
