Abstract: Techniques for providing device functionalities using device components are described. A system receives a system-generated directive from a skill system and determines a workflow to execute. The system implements a response orchestrator that operates based on the workflow that includes interception points where cross-cutting functionalities can be invoked as pluggable components. The interception points occur pre-system-generated directive, pre-device-facing directive, post-device-facing directive generation, post-device-facing directive dispatch, and the like. The system supports asynchronous execution, conditional execution, and sequential execution of components. Data determined by the cross functionality components can be used by other components for processing.

Abstract: Techniques for providing device functionalities using device components are described. A system receives a system-generated directive from a skill system and determines a workflow to execute. The system implements a response orchestrator that operates based on the workflow that includes interception points where cross-cutting functionalities can be invoked as pluggable components. The interception points occur pre-system-generated directive, pre-device-facing directive, post-device-facing directive generation, post-device-facing directive dispatch, and the like. The system supports asynchronous execution, conditional execution, and sequential execution of components. Data determined by the cross functionality components can be used by other components for processing.

Abstract: A diagnostic process for disease detection using gene expression based PCA (Principal Component Analysis) classifier is provided. The present invention includes a method of diagnosing disease in a patient by performing a multilayer PCA classification that analyzes gene expression profiles of patients' biological samples to predict their class as disease or healthy, uses patients' biological samples to extract a set of fingerprint genes for specific disease and cell type which can be used as identification features, and classifies patient biological samples as disease or healthy based on differential gene expression profiles of the fingerprint genes.

Abstract: Embodiments of the invention disclose a method, a system and a computer program product of discovering automated insights in XML data by generating a query result in response to querying data using a query, wherein the data is in a markup language format, and identifying a pattern associated with the query result, wherein the data in the markup language format is used for pattern identification.

Abstract: Embodiments of the invention disclose a method, a system and a computer program product of discovering automated insights in XML data by generating a query result in response to querying data using a query, wherein the data is in a markup language format, and identifying a pattern associated with the query result, wherein the data in the markup language format is used for pattern identification.

Abstract: Embodiments of the invention disclose a method, a system and a computer program product of discovering automated insights in XML data by generating a query result in response to querying data using a query, wherein the data is in a markup language format, and identifying a pattern associated with the query result, wherein the data in the markup language format is used for pattern identification.

Abstract: Embodiments of the invention disclose a method, a system and a computer program product of discovering automated insights in XML data by generating a query result in response to querying data using a query, wherein the data is in a markup language format, and identifying a pattern associated with the query result, wherein the data in the markup language format is used for pattern identification.

Abstract: Embodiments of the invention disclose a method, a system and a computer program product of discovering automated insights in XML data by generating a query result in response to querying data using a query, wherein the data is in a markup language format, and identifying a pattern associated with the query result, wherein the data in the markup language format is used for pattern identification.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

Abstract: Embodiments of the invention disclose a method, a system and a computer program product of discovering automated insights in XML data by generating a query result in response to querying data using a query, wherein the data is in a markup language format, and identifying a pattern associated with the query result, wherein the data in the markup language format is used for pattern identification.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

Abstract: A method and system for anonymizing selected content in a document, by receiving as input a document comprising content; assigning user access privileges to identified users based on an access control policy, the access control policy for the user based on a context and a set of pre-defined named entities stored in a repository; identifying named entities in the document; comparing the pre-defined set of named entities based on a context with named entities in the document; concealing the named entities identified in the document matching with the pre-defined set of named entities; and providing as output a document, wherein the set of pre-defined named entities have been concealed based on the identified user access.

Abstract: A method and system for anonymizing selected content in a document, by receiving as input a document comprising content; assigning user access privileges to identified users based on an access control policy, the access control policy for the user based on a context and a set of pre-defined named entities stored in a repository; identifying named entities in the document; comparing the pre-defined set of named entities based on a context with named entities in the document; concealing the named entities identified in the document matching with the pre-defined set of named entities; and providing as output a document, wherein the set of pre-defined named entities have been concealed based on the identified user access.

Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.