Enabling Cross Constraint Satisfaction in RDF-Based Heterogeneous Database Integration

Abstract

The problem of database integration has been widely tackled through different approaches. While data transformation based systems, such as Data Warehouses, reached the acceptation of the industry during the 80's, in the last decade query translation based approaches have gained popularity given their adequacy to dynamic domains.

The ACGT Master Ontology and its applications – Towards an ontology-driven cancer research and management system

“…Among the most important of these, we have identified the following: (i) schema level heterogeneity, (ii) instance level heterogeneity, (iii) performance in query translation and results retrieval, (iv) complexity of the mapping process, and (v) complex query constraints satisfaction [51]. The Semantic Mediator tackles this process as follows: SPARQL was chosen as the query language for the ACGT-SM.…”

RDFBuilder: A tool to automatically build RDF-based interfaces for MAGE-OM microarray data sources

“…In the case of syntactic heterogeneities -i.e., differences in database models, query languages, and interface types -the efforts focus on developing standard models and languages for describing, storing and accessing data. RDF [12] has been accepted as a de facto data model for this purpose in the biomedical domain, being SPARQL the most adopted associated query language. In this context, numerous approaches for "RDFizing" existing biomedical data and offering a common method for accessing the vast amounts of available data have been proposed.…”

Modelo de mediación semántica para la integración de fuentes de datos heterogéneas

“…El proyecto, denominado ACGT, estuvo activo entre los años 2006 y 2010 y agrupó a 24 grupos de investigación europeos y uno de Japón. El objetivo del proyecto ACGT fue el desarrollo de una plataforma tecnológica destinada a profesionales de la investigación médica en el contexto de ensayos clínicos sobre cáncer Martin et al, 2008a;Martin et al, 2007b;Martin et al, 2008b;Martin et al, 2007a). Dicha plataforma incluía un servicio de mediación semántica capaz de realizar una integración vertical que abarcase distintos niveles de granularidad (a nivel molecular, celular, de tejidos, de órganos, de individuos y de población).…”

“…Este tipo de soluciones requiere definir qué campos actúan como identificadores en cada base de datos. Para más información sobre esta cuestión, consultar (Lin y Mendelzon, 1998;Lembo et al, 2002;Amann et al, 2002;Jian y Beihong, 2006;Pérez-Rey, 2007a;Martin et al, 2008a).…”