Tata Consultancy Services Limited

Vinay Vasant Kulkarni

Asha Rajbhoj

Souvik Barat

Sagar Sunkle

Beena Rai

Sreedhar Sannareddy Reddy

Deepak Shyamsunder Jain

Padmalata Venkata Nistala

Suman Roychoudhury

Balamuralidhar Purushothaman

Jayavardhana Rama Gubbi Lakshminarasimha

Shailesh Shankar Deshpande

Anand Kumar

Vilas Sadanand Prabhu

Rinu Chacko

Rahul Mohan

Shashank Madhukar Kulkarni

Dushyanthi Mulpuru

Krati Saxena

Ashwini Patil

Gomathi Ganesan

Deepali Prabhu Kholkar

Deepali Dinanath Prabhu Kholkar

Nikhil Narendra Bellarykar

Deepali Kholkar

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 the field of project related document analysis. Conventionally, process of retrieving right information related to a stakeholder with relevant project initiation concerns involves manual intervention resulting in more time consumption. The method of the present disclosure describes a system and method for automated extraction and classification of project initiation related information from request for proposal response documents The RFP response document is parsed using document structure based parsing technique to identify questions and answers. The questions from the RFP response document are classified into different classes of interest and important information from the answers are extracted and mapped to an identified class. The method of the present disclosure demonstrates significant improvement in terms of time consumption by reducing volume of information and providing a quick access to class-specific relevant information from the RFP response document.

Automated extraction and classification of project initiation related information from request for proposal response documents

The present disclosure provides a dynamic functional adaptation of software systems based on real time need, which is unaddressed by the conventional methods. Initially, the system receives an output generated by a software system under execution corresponding to a given input. Further, a deviation in the generated output is identified based on a comparison between the generated output and a corresponding expected output. Further, an optimal policy is identified based on the generated output and the identified deviation using a reward based Reinforcement Learning (RL) model. Further, an adaptation specification is generated based on the identified optimal policy using an Adaptation Specification Generation (ASG) technique, Further, a software code is generated dynamically for the identified optimal policy using an ASG based code generation technique. Finally, the software system under execution is updated dynamically by calling a method corresponding to the generated software code and executing the software system.

Method and system for learning based dynamic software system adaptation

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

This disclosure relates to automatic creation of an image processing pipeline that has a dependency on image processing domain experts. Given the image processing problem has multiple viable solutions, search space of creating a solution for a given goal in a given constrained infrastructure is large and, choosing an optimal image processing solution is an effort, time and intellect intensive endeavor. The present disclosure models image processing goals in abstract task categories and externalizes domain knowledge as an object model and a set of rules defined over it. Rules codify task template selection criteria and algorithm selection criteria for implementing a task. Recommendations are provided to choose suitable algorithm (s) for carrying out image processing tasks. Effects of algorithm execution are recorded for subsequent tasks recommendations. The stored state of execution and trace information enables rerouting the execution and knowledge upgrade. Deployable code is generated after a validated pipeline is created.

Systems and methods for automatically creating an image processing pipeline

Model driven engineering (MDE) approaches necessitate verification and validation (V&V) of the models used. Balancing usability of modeling languages with verifiability of the specification presents several challenges. Conventional modeling languages have automated solvers but are hard to interpret and use. Implementations of present disclosure provide systems and methods for validating domain specific models wherein rules and vocabularies in domain specific model are translated to machine interpretable rules (MIR) and machine interpretable vocabularies (MIV) which are processed (via logic programming technique) to generate a logic programming representation (LPR) of the MIR and MIV based on which solution scenarios are generated for validating the domain specific model. Validation of the model involves verifying LPR using a set of ground facts. During validation of solution scenarios of model, system also checks for inconsistences in rules, if any. These rules are corrected and solution scenarios are re-generated to obtain anomaly free solution scenarios.

Systems and methods for validating domain specific models

This disclosure relates generally to document analysis, and more particularly to a method and system for Request For Proposal (RFP) response generation. In one embodiment, the system automatically generates at least one search query in response to a RFP received as input, searches in at least one reference solution database using the generated search query, finds matching data, filters the matching data based on RFP parameter specific data, and prepares a response document. The response document is then provided as an output of the system, in response to the RFP collected as input.

Method and system for request for proposal (RFP) response generation

Techniques for rule creation from natural language text (NLT) are disclosed. In an embodiment, a rule statement in the NLT is grammatically parsed to obtain a parse tree. Further, each of noun phrase (NP) core sub-tree and verb phrase (VP) core sub-tree, in the parse tree, is partitioned into at least one sub-tree. Furthermore, one or more operators are extracted using at least one sub-tree of NP or VP core sub-trees. The rule statement is substantially simultaneously splitted into groups of 3 adjacent words (3-grams). Each of the 3-grams is then compared with a predefined list to extract data properties and class concepts associated with the rule statement. Moreover, subscripts are assigned to the data properties, class concepts and operators. A rule head is then created based on the data properties and operators. Also, a rule is created using the data properties, operators, class concepts, associated subscripts and rule head.

System and method for rule creation from natural language text

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

A method(s) and system(s) of monitoring and logging of various identified events of the operating system or the software application hosted on the operating system is disclosed. The method includes configuring the events associated with at least one event handler for monitoring. The method further includes assigning the at least one event handler to active processes of an operating system for handling of the events. Further, the method includes capturing of events by a different daemons and collecting the captured events. To this end, the captured similar events are grouped in one or more groups. The method further includes filtering of collected events based on a definable filter configuration and generating a dashboard representation of the filtered events. The dashboard representations of filtered events are then reported to the user.

Computer implemented system and method of instrumentation for software applications

The present invention provides a computationally efficient system and method for developing extensible and configurable Graphical User Interfaces (GUIs) for Database-centric Business application Product Lines using model driven techniques and also reduce the cost as well as time for creating new GUIs for Database-centric Business application Product Lines that enables effective maintenance and smooth evolution using model driven technique. The invention provides modeling of commonality and variability of GUI thus leading to a single GUI for Database-centric Business application Product Lines. The invention enables a model-based solution to address extensibility and configurability of both structural and behavioral aspects in a GUI of Database-centric Business application Product Lines and it also support to realize variations at runtime in the presentation layer by using the variable fields which can check the configuration data from a configuration database and decide whether to render itself or not.

Computationally efficient system for developing configurable, extensible GUI for database centric enterprise business applications

The present invention provides a computationally efficient system for developing configurable, extensible business application product lines using model-driven techniques. The invention enables to create a common business application with a set of pre-defined variants, selection of a suitable variant from the pre-defined set, and composition of the common application with the selected variant into a purpose-specific business application and also provides for modeling of commonality and variability thus leading to a single specification. The invention provides model-based solution to address extensibility and configurability of both structural and behavioral aspects in a functionality dimension of database intensive business application and it supports configuration process at three different stages of application development (i.e. design time, installation time and run time) of database intensive business application. The invention reduces the cost as well as computational time for creating new business applications, and leads to effective maintenance and smooth evolution.

Computationally efficient system for developing configurable, extensible business application product lines using model-driven techniques

The present invention provides a system and method for developing a set of business process definitions sharing the common business intent as a business process family using model-driven techniques. The present invention minimizes on development time and resources thus leading to a cost effective system and method for developing business process families. The invention enables to create a business process family which can be easily configured to behave as a specific business process thus meeting the needs of a set of apriori known situations. The invention supports configuration process at different stages (i.e. design time, and run time) of the business process application and also support extension of the configuration structure at different stages (i.e. design time, and run time). The invention enables to create a business process family which can be easily extended to meet the needs of an as yet unseen situation.

Efficient system for realizing business process families using model-driven techniques

A model framework for generating batch programs has an abstraction representing a batch program, an abstraction representing a batch function of the program, an abstraction representing operation of the function, an abstraction representing a data provider to the function, and an abstraction representing a context class of the function. The framework is characterized in that instantiation of the model with the appropriate input data parameters input to each abstraction generates appropriate instances of batch functions including function operations wherein the generated instances are executable as part of a run sequence of the batch program.

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Pune, India

Vinay Vasant Kulkarni