Abstract: System and method for automatic entity relationship (ER) model generation for services as software is disclosed. ER model generation by automated knowledge acquisition is disclosed, and automation of knowledge generation process is disclosed. Information extraction process is automated and multilevel validation of information extraction process is provided. System comprises training module to train information extraction model, and knowledge generation module for population of ER model. Standard Operators are generated based on the ER model so generated (populated). Context aware entity extraction is implemented for the ER model generation. System and method leverages existing ER model to make the system self-learning and intelligent, and provides common platform for knowledge generation from different data sources comprising documents, database, website, web corpus, and blog.

Abstract: A method and system is provided for building domain intelligent solution. The present application provides a method and system for building a domain intelligent solution, comprises of utilizing a language existing as a generic model for capturing intrinsic knowledge pertaining to a technical domain; creating a domain intelligent solution for said technical domain using said language or vocabulary; translating the domain intelligent solution into required wrappers for them to be integrated with a third party technology or tool; and integrating said created domain intelligent solution with the third party technology or tool for providing system engineering capabilities to make them domain intelligent.

Abstract: A system and method for creating an instance model is provided. The system provides an information extraction and modeling framework from wide spectrum of document types such as PDF, Text, HTML, LOG, CSV, images, audio/video files and DOCX. In this framework information is extracted and mapped on a domain conceptual model like ER model and the instance model is created. Initially a template model is created using the existing ER model and the plurality of data sources. The template model, the existing ER model and the information extracted from the plurality of data sources are then provided as input to generate the instance model. The system or method is not limited to extract information from log files. This can be useful for different types of files type if the structures and formats of data are different. The system can also be used with unstructured type of data sources.

Abstract: Disclosed is method and system for modeling and executing service operation associated with technical service. Method comprises modeling of knowledge required for execution of service operation by representing factual knowledge and actionable knowledge in executable form. Modeling comprises representing standard operators and service operation. Service operation comprises parameters and rules presented in form of list of predicate-action pairs. Predicate-action pair comprises predicate and action. Predicate defines condition to be verified to comply with rule, and action specifies standard operator to be executed based on verification of condition. Method further comprises execution of service operation.

Abstract: System and method for automatically generating and executing service operation, implementation for executing a task is disclosed. Task information and Entity relationship model associated with task is processed to identify part of the Entity Relationship Model matching with the task. Service operation template associated with the task is identified based on task information; and part of the Entity relationship model and service operation template is processed dynamically to generate and execute service operation implementation for executing the task. In another aspect, a part of an Entity relationship instance model associated with the task is identified dynamically based on the part of the Entity Relationship Model matching with the task and the task information; and part of the Entity relationship Instance model and service operation template processed dynamically, to generate and execute the service operation implementation for executing the task.

Abstract: System(s) and method(s) for facilitating design configuration of data center to provide management of the data center is disclosed. Input parameters providing design and operational requirements are received. Based on the input parameters, objectives are determined. The objectives refer to one or more technical requirements with respect to plurality of phases associated with the life cycle of the data center. The objectives are then used to create a generic configuration with respect to one or more services associated with the life cycle. The generic configuration is mapped with a predefined set of configuration stored in a knowledge repository in order to obtain a technology specific format. The generic configuration is further used to design a tool specific configuration to provide management of each phase of the life cycle of the data center.

Abstract: A system and method for creating an instance model is provided. The system provides an information extraction and modeling framework from wide spectrum of document types such as PDF, Text, HTML, LOG, CSV, images, audio/video files and DOCX. In this framework information is extracted and mapped on a domain conceptual model like ER model and the instance model is created. Initially a template model is created using the existing ER model and the plurality of data sources. The template model, the existing ER model and the information extracted from the plurality of data sources are then provided as input to generate the instance model. The system or method is not limited to extract information from log files. This can be useful for different types of files type if the structures and formats of data are different. The system can also be used with unstructured type of data sources.

Abstract: A method and system is provided for building domain intelligent solution. The present application provides a method and system for building a domain intelligent solution, comprises of utilizing a language existing as a generic model for capturing intrinsic knowledge pertaining to a technical domain; creating a domain intelligent solution for said technical domain using said language or vocabulary; translating the domain intelligent solution into required wrappers for them to be integrated with a third party technology or tool; and integrating said created domain intelligent solution with the third party technology or tool for providing system engineering capabilities to make them domain intelligent.

Abstract: System and method for automatic entity relationship (ER) model generation for services as software is disclosed. ER model generation by automated knowledge acquisition is disclosed, and automation of knowledge generation process is disclosed. Information extraction process is automated and multilevel validation of information extraction process is provided. System comprises training module to train information extraction model, and knowledge generation module for population of ER model. Standard Operators are generated based on the ER model so generated (populated). Context aware entity extraction is implemented for the ER model generation. System and method leverages existing ER model to make the system self-learning and intelligent, and provides common platform for knowledge generation from different data sources comprising documents, database, website, web corpus, and blog.

Abstract: System and method for automatically generating and executing service operation, implementation for executing a task is disclosed. Task information and Entity relationship model associated with task is processed to identify part of the Entity Relationship Model matching with the task. Service operation template associated with the task is identified based on task information; and part of the Entity relationship model and service operation template is processed dynamically to generate and execute service operation implementation for executing the task. In another aspect a part of an Entity relationship instance model associated with the task is identified dynamically based on the part of the Entity Relationship Model matching with the task and the task information; and part of the Entity relationship Instance model and service operation template processed dynamically, to generate and execute the service operation implementation for executing the task.

Abstract: System(s) and method(s) for facilitating design configuration of data center to provide management of the data center is disclosed. Input parameters providing design and operational requirements are received. Based on the input parameters, objectives are determined. The objectives refer to one or more technical requirements with respect to plurality of phases associated with the life cycle of the data center. The objectives are then used to create a generic configuration with respect to one or more services associated with the life cycle. The generic configuration is mapped with a predefined set of configuration stored in a knowledge repository in order to obtain a technology specific format. The generic configuration is further used to design a tool specific configuration to provide management of each phase of the life cycle of the data center.

Abstract: Disclosed is method and system for modeling and executing service operation associated with technical service. Method comprises modeling of knowledge required for execution of service operation by representing factual knowledge and actionable knowledge in executable form. Modeling comprises representing standard operators and service operation. Service operation comprises parameters and rules presented in form of list of predicate-action pairs. Predicate-action pair comprises predicate and action. Predicate defines condition to be verified to comply with rule, and action specifies standard operator to be executed based on verification of condition. Method further comprises execution of service operation.