Abstract: Described herein are methods, systems, apparatuses and products for transforming hierarchical language data into relational form. An aspect provides for assembling at least one statistical summary of at least one hierarchical language data source responsive to execution of program instructions accessible to at least one processor operatively connected to a memory device; accessing at least one entity of interest selected from the at least one statistical summary; generating at least one target hierarchical language model based on the at least one entity of interest; and transforming data from the at least one hierarchical language data source into at least one relational form by executing transformation artifacts generated based on a type of the relational form. Other aspects are disclosed herein.

Abstract: Described herein are methods, systems, apparatuses and products for transforming hierarchical language data into relational form. An aspect provides for assembling at least one statistical summary of at least one hierarchical language data source responsive to execution of program instructions accessible to at least one processor operatively connected to a memory device; accessing at least one entity of interest selected from the at least one statistical summary; generating at least one target hierarchical language model based on the at least one entity of interest; and transforming data from the at least one hierarchical language data source into at least one relational form by executing transformation artifacts generated based on a type of the relational form. Other aspects are disclosed herein.

Abstract: Described herein are methods, systems, apparatuses and products for transforming hierarchical language data into relational form. An aspect provides for assembling at least one statistical summary of at least one hierarchical language data source responsive to execution of program instructions accessible to at least one processor operatively connected to a memory device; accessing at least one entity of interest selected from the at least one statistical summary; generating at least one target hierarchical language model based on the at least one entity of interest; and transforming data from the at least one hierarchical language data source into at least one relational form by executing transformation artifacts generated based on a type of the relational form. Other aspects are disclosed herein.

Abstract: Described herein are methods, systems, apparatuses and products for transforming hierarchical language data into relational form. An aspect provides for assembling at least one statistical summary of at least one hierarchical language data source responsive to execution of program instructions accessible to at least one processor operatively connected to a memory device; accessing at least one entity of interest selected from the at least one statistical summary; generating at least one target hierarchical language model based on the at least one entity of interest; and transforming data from the at least one hierarchical language data source into at least one relational form by executing transformation artifacts generated based on a type of the relational form. Other aspects are disclosed herein.

Abstract: A method and apparatus for capturing annotations about database material in a way that allows queries with conditions or predicates on both the database material and the annotations. Database material may be text, computer programs, graphics, audio, spreadsheets, or any other material which may be stored and indexed. Database material may be in one or multiple sources, and annotations may be stored together with the original material or in a separate store. Annotations can be used to capture information such as additional facts about the database material, the opinions and judgments of experts about the database material, and/or links to other related material. Annotations may be captured in a structured form to enhance queryability and semantic interpretation.

Abstract: Various embodiments of a system and computer program product to access metadata from a plurality of data servers from a federated database management system are provided. In one embodiment, a request for metadata, from a client application, is received by the federated database management system. Data servers which are accessible from the federated database management system are identified. For each data server, metadata describing data of a data source of that data server is retrieved in accordance with the application request. The retrieved metadata from each of the data servers is aggregated to produce an aggregated result in a uniform format. The aggregated result is provided. In another embodiment, for each data server, a source metadata request for metadata of that data server is generated in accordance with the application request and a source metadata application programming interface. A view is created based on the source metadata request for metadata for each data server.

Abstract: Various embodiments of a system and computer program product to access metadata from a plurality of data servers from a federated database management system are provided. In one embodiment, a request for metadata, from a client application, is received by the federated database management system. Data servers which are accessible from the federated database management system are identified. For each data server, metadata describing data of a data source of that data server is retrieved in accordance with the application request. The retrieved metadata from each of the data servers is aggregated to produce an aggregated result in a uniform format. The aggregated result is provided. In another embodiment, for each data server, a source metadata request for metadata of that data server is generated in accordance with the application request and a source metadata application programming interface. A view is created based on the source metadata request for metadata for each data server.

Abstract: Various embodiments of a method to access metadata from a plurality of data servers from a federated database management system are provided. In one embodiment, a request for metadata, from a client application, is received by the federated database management system. Data servers which are accessible from the federated database management system are identified. For each data server, metadata describing data of a data source of that data server is retrieved in accordance with the application request. The retrieved metadata from each of the data servers is aggregated to produce an aggregated result in a uniform format. The aggregated result is provided. In another embodiment, for each data server, a source metadata request for metadata of that data server is generated in accordance with the application request and a source metadata application programming interface. A view is created based on the source metadata request for metadata for each data server.

Abstract: A method and apparatus for capturing annotations about database material in a way that allows queries with conditions or predicates on both the database material and the annotations. Database material may be text, computer programs, graphics, audio, spreadsheets, or any other material which may be stored and indexed. Database material may be in one or multiple sources, and annotations may be stored together with the original material or in a separate store. Annotations can be used to capture information such as additional facts about the database material, the opinions and judgments of experts about the database material, and/or links to other related material. Annotations may be captured in a structured form to enhance queryability and semantic interpretation.

Abstract: A method and apparatus for capturing annotations about database material in a way that allows queries with conditions or predicates on both the database material and the annotations. Database material may be text, computer programs, graphics, audio, spreadsheets, or any other material which may be stored and indexed. Database material may be in one or multiple sources, and annotations may be stored together with the original material or in a separate store. Annotations can be used to capture information such as additional facts about the database material, the opinions and judgments of experts about the database material, and/or links to other related material. Annotations may be captured in a structured form to enhance queryability and semantic interpretation.

Abstract: A method and apparatus for capturing annotations about database material in a way that allows queries with conditions or predicates on both the database material and the annotations. Database material may be text, computer programs, graphics, audio, spreadsheets, or any other material which may be stored and indexed. Database material may be in one or multiple sources, and annotations may be stored together with the original material or in a separate store. Annotations can be used to capture information such as additional facts about the database material, the opinions and judgments of experts about the database material, and/or links to other related material. Annotations may be captured in a structured form to enhance queryability and semantic interpretation.