The growing complexity of modern society has required the development of models and algorithms for knowledge management. In this book, the reader will find 22 selected papers on various related topics. Many subjects are covered, but the main stream is related to information modeling and intelligent processing in terms of both theory and practice.

Theoretical developments are addressed by some papers with respect to: the semantics of normal forms and normalization of constrained probabilistic databases (paper 1); logical formalization of the class inclusion relation (paper 2); conceptual modeling supporting large and complex applications under many-dimensional schemata and schema shuffling (paper 3); logical specification of software processes by transparent intensional logic (paper 4); and conceptual modeling (papers 12, 17, 18, and 21). Various models are proposed and used in applied fields in the practically oriented papers: modeling languages (paper 7); contextual communication (papers 10 and 19); multicultural models in software engineering processes (paper 13); differential computing models (paper 6); query handling in various databases including geometric databases (paper 12); workflow management optimization with application to disaster management (paper 5); a multidimensional market analysis method based on schema in time series (paper 11); social media mining (the Twitter platform in paper 8 and applied latent semantic analysis in paper 14); and applied knowledge modeling (paper 15). Other papers deal with data visualization aspects: iconic representation (papers 9 and 22) and visualization systems (paper 16). Developments in the web and mobile computing address collaboration (paper 10), interoperability (paper 7), and mutual resource exchange (paper 20).

As a whole, there is no redundancy or unnecessary information in the book. The above-mentioned topics benefit from adequate references at the paper level. Both an author index and a subject index at the book level are included.

In my opinion, this book, with its uniform layout and high-quality graphics, provides valuable scientific knowledge to be used by people from R&D (in fields like disaster management, geographical information systems, social communities, software engineering, information systems, and market analysis) and academia interested in information modeling and knowledge databases.