Tata Consultancy Services Limited

Sagar Sunkle

Vinay Vasant Kulkarni

Beena Rai

Deepak Shyamsunder Jain

Rahul Kumar

Vinay Kulkarni

Rinu Chacko

Manu Goel

Deepali Kholkar

Jaya Dutta

Krati Saxena

Ashwini Patil

Enterprises need assurance that their internal documents like policies, procedures, controls, standard operating procedures (SOPS) are adherent to the regulatory obligations. In conventional practice this requires a manual effort where legal, business and IT experts collaborate for assuring completeness and consistency in enterprise documents with respect to regulatory obligations, thereby establishing regulatory hygiene. Governance risk and compliance (GRC) frameworks help experts with collaboration but do not provide automation aids necessary to reduce the analysis and synthesis burden. Present disclosure provides system and method for determining hygiene in the plurality of enterprise documents with respect to the plurality of regulatory obligations by extracting concept ontology models from multiple enterprise documents and multiple regulations and enabling navigation across multiple documents via the ontology. The system further reasons out how this form of navigation or creating a common navigable ontology enables establishing hygiene in enterprise documents with respect to regulatory obligations.

Systems and method for determining hygiene in enterprise documents with respect to regulatory obligations

This disclosure relates generally to the field of retrieval and extraction for designing formulated products by constructed ingredient-functionality lists for formulated products using search engine result excerpts in an automated manner. Many ingredients used in formulated products are multi-functional. Conventionally, in a given category of formulated product, only a single functionality or subset of functionalities of an ingredient is used ignoring other functionalities of which the ingredient is representative. However, there is a need to put together representative ingredients before proceeding further with process steps of making and testing the formulated product. The present disclosure addresses unresolved problems of the conventional methods by obtaining information regarding the functionalities of ingredients used in formulated products using search engines based on a loop processing involving query formation, and construction of a list of ingredients and functionalities till exhaustion.

Automated construction of ingredient-functionality lists for formulated products using search engine result excerpts

This disclosure relates to method of extracting an information associated with design of formulated products and representing as a graph. A graph domain model of a plurality of vertices, and at least one formulation text as text file are received as an input. The information extraction is applied to identify at least one sentence and extract at least one subject-verb-object triple from every sentence of the at least one formulation text. A sentence including an ingredient listing and associated weights indicated by presence of weight numerals, and a sentence including at least one verb from the at least one subject-verb-object based on the graph domain model are classified. A representation of the recipe text is generated in terms of at least one action, ingredients on which the at least one action is performed, and condition. An insert query string is generated and executed to store the formulations as the graph.

System and method of extraction of information and graphical representation for design of formulated products

A system and method for automated regulatory compliance checking for organizations is disclosed. The present subject matter discloses a method for generating queries to extract relevant data from an organization that with respect to the regulatory rules and subsequently performing automated compliance checking for the organization. In an embodiment, the system captures regulatory rules provided by a regulatory body for an organization and extracts logical specification of rules from the semantic model in DR-Prolog language. The system further extracts a conceptual data model from the semantic model and obtains mapping between the conceptual data model and plurality of physical database. The system generates queries and translated the queries on to physical database schema to extract relevant data from the organization. The extracted data is transformed into ground facts in DR-Prolog and compared with logical specification of rules to perform automated regulatory compliance checking.

System and method for automated regulatory compliance checking for organizations

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Pune, India

Sagar Sunkle