A data enrichment and consumption framework enables defining data object consumption based on semantic aspects of the data object. Views, contexts, and associations of the data object are defined to dynamically render UI content based on interaction with the data object. Additionally, standard views can be defined to enable rapid development of UIs. The same data content is rendered in consistent ways across different devices and UI technologies.

Data consumption framework for semantic objects

The disclosed computer-implemented method for aggregating information-asset metadata from multiple disparate data-management systems may include (1) receiving a first instance of metadata of an information asset from a first data-management system that manages information assets of an entity in a first domain, (2) receiving a second instance of metadata of the information asset from a second data-management system that manages the information assets of the entity in a second domain that is separate and distinct from the first domain, (3) storing the first and second instances of metadata in a global metadata repository that is separate and distinct from the first and second data-management systems, and (4) providing access to the first and second instances of metadata stored in the global metadata repository to the first data-management system, the second data-management system, and/or the entity. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for aggregating information-asset metadata from multiple disparate data-management systems

Methods and apparatuses enable rendering business context data in a desktop widget. The business context data describes a resource, a view, and actionable context data that relate to a business scenario. The business context data is processed to determine a UI component to generate to represent the business context data. The component is then generated and rendered in a desktop widget to provide access to the actionable context data on a client device via the desktop widget. An active business client receives and processes the business context data. The active business client can operate as a widget engine for the business context data to enable the rendering of the business context data on the client device.

Business context data companion tool

A method comprising a preliminary automated analysis of at least one corpus of natural language text is disclosed. For each sentence of a corpus, the method includes performing a syntactic analysis using linguistic descriptions to generate at least one syntactic structure for the sentence, building a semantic structure for the sentence, associating each generated syntactic and semantic structure with the sentence, and saving each structure. For each corpus text that was preliminary analyzed, performing an indexing operation to index lexical meanings and values of linguistic parameters of each syntactic structure and each semantic structure associated with sentences in the corpus text. A semantic search includes at least one automatic preliminary analyzed corpus of sentences comprising searched values of linguistic, syntactic and semantic parameters. Due to a deep semantic analysis of a corpus, the search may be executed in various languages, in resources of various languages, and in the text of corpora of various languages regardless of the language of the query.

Method and system for semantic searching

Methods and apparatuses enable generation of and consumption of business context data. A server generates business context data that describes a resource, a view, and actionable context data related to a business scenario. The business context data is not specific to any particular UI capability of the client device, and may include tittle or no UI information. The server transmits the business context data to a client device that has an active client. The active client identifies one or more UI capabilities of the client device and generates a UI component based on the business scenario and the UI capabilities. The UI component enables functionality in the client device related to execution of the actionable context data. In one embodiment, the active client enables predictive deployment of services on the client device based on an understanding of the business scenario.

Active business client

Embodiments of the invention are generally related to semantic search and service metadata repositories, particularly with regards to methods and systems for performing a semantic asset search in a service metadata repository. One embodiment includes identifying service metadata assets with similar metadata, relationships, and categorizations to the service metadata assets with the most relevant keywords and identifying service metadata assets have been used in conjunction with the one or more selected service metadata assets.

System and method for semantic asset search in a metadata repository

Embodiments of the invention are generally related to Ontologies and service metadata repositories, and particularly related to systems and methods for transforming Ontologies into service metadata assets in a service metadata repository. One embodiment includes a plug-in from an ontology development tool communicating to an application programming interface for a service metadata repository. One embodiment includes transforming an ontology from an ontology web language file in an ontology development tool into a service metadata asset in the service metadata repository.

Jay A. Holmstrom

Papers

System and method for semantic asset search in a metadata repository

System and method for managing ontologies as service metadata assets in a metadata repository