From the reviews: "General impression is that the Handbook on Ontologies in Information Systems provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructure and applications that are the best of their kind. ... With its coverage of research and applications it provides valuable insights, both for researchers and practitioners." (Jaroslav Vesely, Neural Network World, Issue 1, 2005) "The handbook is formed as a collection of papers written by many authors. These papers are collected into chapters devoted to separate problems of ontologies. ... This book presents an interesting collection of information about all aspects of ontology processing and applications and also references to other information sources from this field." (Tomas Brandejsky, Neural Network World, Vol. 14 (6), 2004) From the reviews of the second edition: "The focus is on theory, construction techniques used by researchers, and research prototypes. ... The content of the book is largely condensed from the research literature ... . The researcher or student who wants details about formalisms and techniques ... this book provides a good starting point for further investigations and a reasonably up-to-date summary of current knowledge ... . The book should be useful to researchers in this and related areas, as well as practitioners of knowledge management and information modeling in various domains." (R. M. Malyankar, ACM Computing Reviews, March, 2010)

• Ontology Representation Languages.- What Is an Ontology?.- Description Logics.- Ontologies in F-Logic.- Resource Description Framework.- Web Ontology Language: OWL.- Ontologies and Rules.- Ontology Engineering.- Ontology Engineering Methodology.- Ontology Engineering and Evolution in a Distributed World Using DILIGENT.- Formal Concept Analysis.- An Overview of OntoClean.- Ontology Design Patterns.- Ontology Learning.- Ontology and the Lexicon.- Ontology Evaluation.- Ontology Engineering Environments.- Exploring the economical aspects of ontology engineering.- Ontologies.- Foundational Choices in DOLCE.- An Ontology for Software.- COMM: A Core Ontology for MultimediaAnnotation.- Using the PSL Ontology.- Ontologies for Formal Representation of Biological Systems.- Ontologies for Cultural Heritage.- Ontologies.- RDF Storage and Retrieval Systems.- Tableau-Based Reasoning.- Resolution-Based Reasoning for Ontologies.- Ontology Repositories.- Ontology Mapping.- Ontology based Infrastructureand Methods.- Ontologies and Software Engineering.- Semantic Web Services.- Ontologies for Machine Learning.- Information Extraction.- Browsing and Navigation in Semantically Rich Spaces.- Ontology based Applications.- Ontologies for Knowledge Management.- Application of Ontologies in Bioinformatics.- Semantic Portals for Cultural Heritage.- Ontology-Based Recommender Systems.

From the reviews: "General impression is that the Handbook on Ontologies in Information Systems provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructure and applications that are the best of their kind. ... With its coverage of research and applications it provides valuable insights, both for researchers and practitioners." (Jaroslav Vesely, Neural Network World, Issue 1, 2005) "The handbook is formed as a collection of papers written by many authors. These papers are collected into chapters devoted to separate problems of ontologies. ... This book presents an interesting collection of information about all aspects of ontology processing and applications and also references to other information sources from this field." (Tomas Brandejsky, Neural Network World, Vol. 14 (6), 2004) From the reviews of the second edition: "The focus is on theory, construction techniques used by researchers, and research prototypes. ... The content of the book is largely condensed from the research literature ... . The researcher or student who wants details about formalisms and techniques ... this book provides a good starting point for further investigations and a reasonably up-to-date summary of current knowledge ... . The book should be useful to researchers in this and related areas, as well as practitioners of knowledge management and information modeling in various domains." (R. M. Malyankar, ACM Computing Reviews, March, 2010)

• Ontology Representation Languages.- What Is an Ontology?.- Description Logics.- Ontologies in F-Logic.- Resource Description Framework.- Web Ontology Language: OWL.- Ontologies and Rules.- Ontology Engineering.- Ontology Engineering Methodology.- Ontology Engineering and Evolution in a Distributed World Using DILIGENT.- Formal Concept Analysis.- An Overview of OntoClean.- Ontology Design Patterns.- Ontology Learning.- Ontology and the Lexicon.- Ontology Evaluation.- Ontology Engineering Environments.- Exploring the economical aspects of ontology engineering.- Ontologies.- Foundational Choices in DOLCE.- An Ontology for Software.- COMM: A Core Ontology for MultimediaAnnotation.- Using the PSL Ontology.- Ontologies for Formal Representation of Biological Systems.- Ontologies for Cultural Heritage.- Ontologies.- RDF Storage and Retrieval Systems.- Tableau-Based Reasoning.- Resolution-Based Reasoning for Ontologies.- Ontology Repositories.- Ontology Mapping.- Ontology based Infrastructureand Methods.- Ontologies and Software Engineering.- Semantic Web Services.- Ontologies for Machine Learning.- Information Extraction.- Browsing and Navigation in Semantically Rich Spaces.- Ontology based Applications.- Ontologies for Knowledge Management.- Application of Ontologies in Bioinformatics.- Semantic Portals for Cultural Heritage.- Ontology-Based Recommender Systems.

From the reviews: "General impression is that the Handbook on Ontologies in Information Systems provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructure and applications that are the best of their kind. ... With its coverage of research and applications it provides valuable insights, both for researchers and practitioners." (Jaroslav Vesely, Neural Network World, Issue 1, 2005) "The handbook is formed as a collection of papers written by many authors. These papers are collected into chapters devoted to separate problems of ontologies. ... This book presents an interesting collection of information about all aspects of ontology processing and applications and also references to other information sources from this field." (Tomas Brandejsky, Neural Network World, Vol. 14 (6), 2004) From the reviews of the second edition: "The focus is on theory, construction techniques used by researchers, and research prototypes. ... The content of the book is largely condensed from the research literature ... . The researcher or student who wants details about formalisms and techniques ... this book provides a good starting point for further investigations and a reasonably up-to-date summary of current knowledge ... . The book should be useful to researchers in this and related areas, as well as practitioners of knowledge management and information modeling in various domains." (R. M. Malyankar, ACM Computing Reviews, March, 2010)

• Ontology Representation Languages.- What Is an Ontology?.- Description Logics.- Ontologies in F-Logic.- Resource Description Framework.- Web Ontology Language: OWL.- Ontologies and Rules.- Ontology Engineering.- Ontology Engineering Methodology.- Ontology Engineering and Evolution in a Distributed World Using DILIGENT.- Formal Concept Analysis.- An Overview of OntoClean.- Ontology Design Patterns.- Ontology Learning.- Ontology and the Lexicon.- Ontology Evaluation.- Ontology Engineering Environments.- Exploring the economical aspects of ontology engineering.- Ontologies.- Foundational Choices in DOLCE.- An Ontology for Software.- COMM: A Core Ontology for MultimediaAnnotation.- Using the PSL Ontology.- Ontologies for Formal Representation of Biological Systems.- Ontologies for Cultural Heritage.- Ontologies.- RDF Storage and Retrieval Systems.- Tableau-Based Reasoning.- Resolution-Based Reasoning for Ontologies.- Ontology Repositories.- Ontology Mapping.- Ontology based Infrastructureand Methods.- Ontologies and Software Engineering.- Semantic Web Services.- Ontologies for Machine Learning.- Information Extraction.- Browsing and Navigation in Semantically Rich Spaces.- Ontology based Applications.- Ontologies for Knowledge Management.- Application of Ontologies in Bioinformatics.- Semantic Portals for Cultural Heritage.- Ontology-Based Recommender Systems.