Using Signal Processing and Semantic Web Technologies to Analyze Byzantine Iconography.

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Bibliographic Details
Title: Using Signal Processing and Semantic Web Technologies to Analyze Byzantine Iconography.
Authors: Karagiannis, Georgios, Vavliakis, Konstantinos, Sotiropoulou, Sophia, Daniilia, Sister, Damtsios, Argirios, Alexiadis, Dimitrios, Salpistis, Christos
Source: IEEE Intelligent Systems. May/Jun2009, Vol. 24 Issue 3, p73-81. 9p. 4 Diagrams, 1 Chart.
Subjects: Computer storage devices, Computer systems, Application program interfaces, Application software, Random access memory, Electronic systems, Central processing units, Ontology
Abstract: The article offers information on the use of Eikonomia tool to transform mechanism for converting relational database to various ontology. Many experiments for checking the integrity of the system were made to transform relational data to semantic data with Eikonomia. Eikonomia was used to transform various data sets, such as Byzantine iconography data, to semantic data. Sesame and Jena application programming interfaces on persistent and memory storage were examined. The system successfully made around 20 million triples in three hours on an average personal computer system.
Database: Engineering Source
Description
Abstract:The article offers information on the use of Eikonomia tool to transform mechanism for converting relational database to various ontology. Many experiments for checking the integrity of the system were made to transform relational data to semantic data with Eikonomia. Eikonomia was used to transform various data sets, such as Byzantine iconography data, to semantic data. Sesame and Jena application programming interfaces on persistent and memory storage were examined. The system successfully made around 20 million triples in three hours on an average personal computer system.
ISSN:15411672
DOI:10.1109/MIS.2009.67