TY - BOOK AU - Spaccapietra,Stefano AU - Zimányi,Esteban AU - Song,Il-Yeol ED - SpringerLink (Online service) TI - Journal on Data Semantics XIII T2 - Lecture Notes in Computer Science, SN - 9783642030987 AV - QA76.9.D343 U1 - 006.312 23 PY - 2009/// CY - Berlin, Heidelberg PB - Springer Berlin Heidelberg KW - Computer science KW - Information systems KW - Database management KW - Data mining KW - Information storage and retrieval systems KW - Artificial intelligence KW - Computer Science KW - Data Mining and Knowledge Discovery KW - Database Management KW - Information Storage and Retrieval KW - Information Systems Applications (incl.Internet) KW - Information Systems and Communication Service KW - Artificial Intelligence (incl. Robotics) N1 - Multidimensional Integrated Ontologies: A Framework for Designing Semantic Data Warehouses -- A Unified Object Constraint Model for Designing and Implementing Multidimensional Systems -- Modeling Data Warehouse Schema Evolution over Extended Hierarchy Semantics -- An ETL Process for OLAP Using RDF/OWL Ontologies -- Ontology-Driven Conceptual Design of ETL Processes Using Graph Transformations -- Policy-Regulated Management of ETL Evolution N2 - The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence. Volume XIII constitutes a special issue on semantic data warehouses. The papers in this volume address several topics within this relatively new domain, providing different insights into the multiple benefits that can be gained by envisioning data warehouses from a semantic perspective. These papers broach many new ideas to be addressed in future work UR - http://dx.doi.org/10.1007/978-3-642-03098-7 ER -