Journal on Data Semantics V

Häftad, Engelska, 2006

Del i serien Lecture Notes in Computer Science

577 kr

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Beskrivning

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. Based on the highly visible publication platform Lecture Notes in Computer Science, this new journal is widely disseminated and available worldwide.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.

Produktinformation

Utgivningsdatum:2006-01-25
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:237
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540314264

Utforska kategorier

Databaser inom Data och IT

Innehållsförteckning

Third International Conference on Semantics of a Networked World (ICSNW 2004).- Semantic Interoperation Among Data Systems at a Communication Level.- Matching Ontologies in Open Networked Systems: Techniques and Applications.- 23rd International Conference on Conceptual Modeling (ER2004).- A Method for Pruning Ontologies in the Development of Conceptual Schemas of Information Systems.- XSLTGen: A System for Automatically Generating XML Transformations Via Semantic Mappings.- An Ontology-Guided Approach to Change Detection of the Semantic Web Data.- Conceptual Modelling Patterns for Roles.- First International Conference on Ontologies, DataBases, and Applications of Semantics for Large Scale Information Systems (ODBASE ’04).- Heuristic Strategies for the Discovery of Inclusion Dependencies and Other Patterns.- Aligning Ontologies, Evaluating Concept Similarities and Visualizing Results.