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Modular Ontologies Concepts, Theories and Techniques for Knowledge Modularization / [electronic resource] : edited by Heiner Stuckenschmidt, Christine Parent, Stefano Spaccapietra. - X, 378 p. online resource. - Lecture Notes in Computer Science, 5445 0302-9743 ; . - Lecture Notes in Computer Science, 5445 .

Modularization Approaches -- to Part I -- An Overview of Modularity -- Formal Properties of Modularisation -- Criteria and Evaluation for Ontology Modularization Techniques -- On Importing Knowledge from Ontologies. -- Modularity in Databases -- Partitioning and Extraction of Modules -- to Part II -- Extracting Modules from Ontologies: A Logic-Based Approach -- Structure-Based Partitioning of Large Ontologies -- Web Ontology Segmentation: Extraction, Transformation, Evaluation -- Traversing Ontologies to Extract Views -- Connecting Existing Ontologies -- to Part III -- Formal and Conceptual Comparison of Ontology Mapping Languages -- Ontology Integration Using ?-Connections -- Composing Modular Ontologies with Distributed Description Logics -- Package-Based Description Logics.

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.


10.1007/978-3-642-01907-4 doi

Computer science.
Software engineering.
Data structures (Computer science).
Database management.
Data mining.
Information storage and retrieval.
Computer Science.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
Database Management.
Software Engineering.
Data Mining and Knowledge Discovery.
Data Structures.



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