Oracle International Corporation

Sreedhar Chitullapally

Reza M B'Far

Yasin Cengiz

Tsai-Ming Tseng

Ryan Golden

Alan Waxman

Uppili Srinivasan

Fei Wihardjo

Elizabeth Lingg

Malini Chakrabarti

Huyvu Nguyen

Lloyd Boucher

Logan Goh

Mike Adourian

Christopher Leone

Steven Miranda

Techniques for implementing policies. In an embodiment, first data is stored in a first data store according to a first schema. A second schema is defined based at least in part on a policy and an ontology. Second data, which includes at least a portion of the first data, is stored in a second data store according to the second schema. Storing the second data is based at least in part on a mapping of the first schema to the second schema. At least a portion of the second data is analyzed and results of the analysis are provided to a user.

Generic ontology based semantic business policy engine

Techniques, including systems and methods, for generating data are disclosed and suggested herein. Original data used in connection with one or more applications is analyzed in order to determine one or more distribution characteristics for the original data. The distribution characteristics are used to generate data that is similarly distributed. The generated data may be used as seed data for demonstrating, testing, or otherwise using one or more applications.

Techniques for data generation

Techniques for reasoning data are disclosed. The techniques may include storing data in an ontology. The data may be partitioned and/or distributed to a plurality of reasoners. Processed data from the plurality of reasoners may then be combined, the processed data having been received from the plurality of reasoners and/or having been processed by the plurality of reasoners.

Massively scalable reasoning architecture

Techniques for reasoning data are disclosed. The techniques may include storing data in a data store which may be a semantic data store. A plurality of reasoning modules are used to reason the data in order to detect violations of one or more business policies. The reasoning modules may include semantic reasoning modules and/or pattern-based reasoning modules. Results of reasoning the data may be displayed to one or more users.

Techniques for enforcing policies. A user requests content from an application and content is retrieved from the application. A determination is made whether any policies apply to the content. A script adapted to modify processing of the content according to any applicable policies is injected into a response to the user. The script may be dynamically generated, pulled from a cache or other data store, or a combination thereof.

Generic preventative user interface controls

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Irvine, CA, United States of America

Sreedhar Chitullapally