Abstract: Some embodiments enable intelligent searching data based on structure and content of models defining structure domains of interest. Embodiments are also capable of simultaneously providing context sensitive reasoning across the domains to find other relationships within the data that are not apparent using traditional search. For a respective domain-specific model, a method or system reasons relationships within the respective domain-specific model. Each relationship is between a keyword of a search query inputted by a user and a field of the domain-specific model. The method reasons the relationships by traversing the domain-specific model using domain-specific rules selected by the keyword. The method maps a first field of a first reasoned relationship to a second field of a second reasoned relationship. The first and second fields are in respective first and second domain-specific models. The method executes the search query based on the mapping, which generates search results presented to the user.

Abstract: Some embodiments enable intelligent searching data based on structure and content of models defining structure domains of interest. Embodiments are also capable of simultaneously providing context sensitive reasoning across the domains to find other relationships within the data that are not apparent using traditional search. For a respective domain-specific model, a method or system reasons relationships within the respective domain-specific model. Each relationship is between a keyword of a search query inputted by a user and a field of the domain-specific model. The method reasons the relationships by traversing the domain-specific model using domain-specific rules selected by the keyword. The method maps a first field of a first reasoned relationship to a second field of a second reasoned relationship. The first and second fields are in respective first and second domain-specific models. The method executes the search query based on the mapping, which generates search results presented to the user.

Abstract: In an embodiment, a method includes loading, from a first database, a representation of an Equipped-Human Reference Architecture (EHRA) model that is based on a human-equipment-task framework. The method further includes, based on indications of polymorphic attributes of at least one of a human, a task, an equipment, and an operational environment as defined by the EHRA model, selected by a user, loading a plurality of properties associated with the received indications from a second database. The method further includes polymorphically adding the plurality of properties to the representation of the EHRA model. The method further includes providing an equipped human system (EHS) solution architecture based on the EHRA model with the plurality of properties by analyzing one or more needs of the human, the task, the equipment, and the operational environment and determining an EHS solution meeting each need. The method further includes updating the EHRA model based on EHS solution architecture.