Abstract: In some implementations, a method includes receiving data characterizing a plurality of acoustic signals detected at a plurality of segments of an industrial system. A first data subset of the received data is associated with a first acoustic signal detected at a first segment of the plurality of segments and a second data subset of the received data is associated with a second acoustic signal detected at a second segment of the plurality of segments. The method also includes a first characteristic color to the first data subset based on a first time of propagation and an amplitude of the first acoustic signal, and assigning a second characteristic color to the second data subset based on a second time of propagation and amplitude of the second acoustic signal.

Abstract: Deploying schematically enriched document content as Representational State Transfer (REST) Application Programming Interfaces (APIs) is provided. Nouns corresponding to topics in a parent-child topic hierarchy of a table of contents of a document are utilized to generate a REST API for each topic in the parent-child topic hierarchy. A REST resource model is generated that contains each generated REST API corresponding to each topic in the parent-child topic hierarchy of the table of contents of the document. The REST resource model corresponding to the parent-child topic hierarchy of the table of contents of the document is deployed to subscribing client applications via a network.

Abstract: Deploying schematically enriched document content as Representational State Transfer (REST) Application Programming Interfaces (APIs) is provided. Nouns corresponding to topics in a parent-child topic hierarchy of a table of contents of a document are utilized to generate a REST API for each topic in the parent-child topic hierarchy. A REST resource model is generated that contains each generated REST API corresponding to each topic in the parent-child topic hierarchy of the table of contents of the document. The REST resource model corresponding to the parent-child topic hierarchy of the table of contents of the document is deployed to subscribing client applications via a network.

Abstract: Embodiments relate to an intelligent computer platform to support a chatbot platform. A semantically enriched document is subjected to natural language processing to generate a cache of tokens, and further classify the tokens, including noun and verb tokens. For each verb token, a corresponding intent is generated, and for each noun token a corresponding entity is generated. A relationship between the generated intents and entities is mapped, and a topology representing the mapped relationship is constructed. A primary verb is identified and assigned as a root node in the topology, and an arrangement of entities related to primary verb are identified and assigned as child nodes related to the root node. The constructed topology is consumed to an AI schema for implementation in the chatbot platform to support real-time communication flow.

Abstract: An approach is provided for controlling computer resource usage. A new event in an integration flow in an integration platform is detected. Sender and receiver information is identified and hashed. A portion of data being sent by the sender to the receiver is selected and hashed. It is determined that the hashed sender and receiver information matches a first entry and the hashed selected portion of the data matches a second entry in a pattern repository. A recurring event in the integration flow is identified, where the recurring event uses an amount of computer resources that exceeds a threshold amount. An action is performed which reduces the amount of computer resources used by the integration flow to a new amount that does not exceed the threshold amount.

Abstract: An approach is provided for controlling computer resource usage. A new event in an integration flow in an integration platform is detected. Sender and receiver information is identified and hashed. A portion of data being sent by the sender to the receiver is selected and hashed. It is determined that the hashed sender and receiver information matches a first entry and the hashed selected portion of the data matches a second entry in a pattern repository. A recurring event in the integration flow is identified, where the recurring event uses an amount of computer resources that exceeds a threshold amount. An action is performed which reduces the amount of computer resources used by the integration flow to a new amount that does not exceed the threshold amount.

Abstract: Embodiments relate to an intelligent computer platform to support a chatbot platform. A semantically enriched document is subjected to natural language processing to generate a cache of tokens, and further classify the tokens, including noun and verb tokens. For each verb token, a corresponding intent is generated, and for each noun token a corresponding entity is generated. A relationship between the generated intents and entities is mapped, and a topology representing the mapped relationship is constructed. A primary verb is identified and assigned as a root node in the topology, and an arrangement of entities related to primary verb are identified and assigned as child nodes related to the root node. The constructed topology is consumed to an AI schema for implementation in the chatbot platform to support real-time communication flow.

Abstract: Aspects migrate an unstructured document to a specific document type definition Darwin Information Typing architecture wherein processors are configured to calculate a verb to noun ratio of an unstructured document by dividing a of plurality verbs of the unstructured document by a plurality of nouns of the unstructured document, assign a first weight to the unstructured document based on the calculated verb to noun ratio, and migrate the unstructured document to a specific document type definition Darwin Information Typing Architecture based on the first weight.

Abstract: A computer-implemented method for error standardization in a cloud based hybrid application integration environment. The method includes receiving at least one error schema definition for an error type from a software application, and mapping the received at least one error schema definition with a corresponding error schema definition of at least one architecture style. The method includes generating an error mapping object based on the mapping of the received at least one error schema definition and the corresponding error schema definition of the at least one architecture style. The method further includes receiving an error object from the software application, and generating a resolved error object, for the received error object, based on the generated error mapping object.

Abstract: Aspects migrate an unstructured document to a specific document type definition Darwin Information Typing architecture wherein processors are configured to calculate a verb to noun ratio of an unstructured document by dividing a of plurality verbs of the unstructured document by a plurality of nouns of the unstructured document, assign a first weight to the unstructured document based on the calculated verb to noun ratio, and migrate the unstructured document to a specific document type definition Darwin Information Typing Architecture based on the first weight.

Abstract: A computer-implemented method for error standardization in a cloud based hybrid application integration environment. The method includes receiving at least one error schema definition for an error type from a software application, and mapping the received at least one error schema definition with a corresponding error schema definition of at least one architecture style. The method includes generating an error mapping object based on the mapping of the received at least one error schema definition and the corresponding error schema definition of the at least one architecture style. The method further includes receiving an error object from the software application, and generating a resolved error object, for the received error object, based on the generated error mapping object.