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BORO (Business Objects Reference Ontology) is an approach to developing ontological or semantic models for large complex operational applications that consists of a top ontology as well as a process for constructing the ontology. It was originally developed as a method for mining ontologies from multiple legacy systems – as the first stage in an architectural transformation or software modernization. It has also been used to enable semantic interoperability between legacy systems. It is described in detail in (Partridge 1996, 2005). It is the analysis method used in the development and maintenance of the U.S. Department of Defense Architecture Framework (DoDAF) Meta Model (DM2), where a data modeling working group of over 350 members was able to systematically resolve a broad spectrum of

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  • BORO (Business Objects Reference Ontology) is an approach to developing ontological or semantic models for large complex operational applications that consists of a top ontology as well as a process for constructing the ontology. It was originally developed as a method for mining ontologies from multiple legacy systems – as the first stage in an architectural transformation or software modernization. It has also been used to enable semantic interoperability between legacy systems. It is described in detail in (Partridge 1996, 2005). It is the analysis method used in the development and maintenance of the U.S. Department of Defense Architecture Framework (DoDAF) Meta Model (DM2), where a data modeling working group of over 350 members was able to systematically resolve a broad spectrum of (en)
  • BORO ("Ontología de referencia de objetos de negocio", o en inglés "Business Objects Reference Ontology) es un enfoque para desarrollar modelos ontológicos o semánticos para grandes aplicaciones complejas que consta de una ontología superior, así como un proceso para construir la ontología. Originalmente se desarrolló como un método para extraer ontologías de múltiples sistemas heredados, como la primera etapa en una transformación arquitectónica ​ o modernización de software . También se ha utilizado para permitir la interoperabilidad semántica entre sistemas heredados. Se describe en detalle en (Partridge 1996, 2005). Es el método de análisis utilizado en el desarrollo y mantenimiento del Meta Modelo (DM2) del Marco de Arquitectura del Departamento de Defensa de EE. UU. (DoDAF), donde un (es)
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  • BORO (Business Objects Reference Ontology) is an approach to developing ontological or semantic models for large complex operational applications that consists of a top ontology as well as a process for constructing the ontology. It was originally developed as a method for mining ontologies from multiple legacy systems – as the first stage in an architectural transformation or software modernization. It has also been used to enable semantic interoperability between legacy systems. It is described in detail in (Partridge 1996, 2005). It is the analysis method used in the development and maintenance of the U.S. Department of Defense Architecture Framework (DoDAF) Meta Model (DM2), where a data modeling working group of over 350 members was able to systematically resolve a broad spectrum of knowledge representation issues. (en)
  • BORO ("Ontología de referencia de objetos de negocio", o en inglés "Business Objects Reference Ontology) es un enfoque para desarrollar modelos ontológicos o semánticos para grandes aplicaciones complejas que consta de una ontología superior, así como un proceso para construir la ontología. Originalmente se desarrolló como un método para extraer ontologías de múltiples sistemas heredados, como la primera etapa en una transformación arquitectónica ​ o modernización de software . También se ha utilizado para permitir la interoperabilidad semántica entre sistemas heredados. Se describe en detalle en (Partridge 1996, 2005). Es el método de análisis utilizado en el desarrollo y mantenimiento del Meta Modelo (DM2) del Marco de Arquitectura del Departamento de Defensa de EE. UU. (DoDAF), donde un grupo de trabajo de modelado de datos de más de 350 miembros pudo resolver sistemáticamente un amplio espectro de problemas de representación del conocimiento. (es)
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