Abstract: The systems and methods provide a machine learning model that can exploit long time dependency for time-series sequences, perform end-to-end learning of dimension reduction and clustering, or train on long time-series sequences with low computation complexity. For example, the methods and systems use a novel, unsupervised temporal representation learning model. The model may generate cluster-specific temporal representations for long-history time series sequences and may integrate temporal reconstruction and a clustering objective into a joint end-to-end model.

Abstract: Embodiments are directed to a trusted platform powered by a client-side company application that implements a Business Organizing Principle (“BOP”) for a company and distributed immutable ledger, which provides the company with secure transactions and transaction data. The application's Business Organizing Principle identifies the business components for a company (e.g., HR, marketing, suppliers, etc.) which the application identifies as core, medium-core, and non-core. The application can then suggest and link the business to other businesses on the network based on matching BOP components. The platform's scoring engine uses the ledger's trusted transactions to generate a BOP network score and “local score” to augment traditional thereby creating a quickly developed trusted ecosystem for horizontal B2B integration between not just businesses, but business components.

Abstract: Associating a state machine with an asset for impact analysis by creating an asset-and-event topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events; creating a state topic map meta-model representing operating states of at least one asset; and associating an asset of the asset-and-event topic map meta-model with operating states of the asset in the state topic map meta-model.

Abstract: A computer-implemented method, computer program product and computing system for management of a pressure pipe network is provided. A processor retrieves a topology model of a pipe network. The processor retrieves one or more measurement expressions of the pressure pipe network. The processor determines a parameter list for a first measurement expression, wherein a first parameter of the parameter list represents a cutting point measurement device. The processor generates a first subsystem of the pipe network based, at least in part on, the first parameter.

Abstract: A computer-implemented method, computer program product and computing system for management of a pressure pipe network is provided. A processor retrieves a topology model of a pipe network. The processor retrieves one or more measurement expressions of the pressure pipe network. The processor determines a parameter list for a first measurement expression, wherein a first parameter of the parameter list represents a cutting point measurement device. The processor generates a first subsystem of the pipe network based, at least in part on, the first parameter.

Abstract: An elastic distribution queuing system for mass data comprising: a data source; a matching engine for matching and/or appending a corporate identifier to data from the data source, thereby creating enhanced data; a distributed queuing system which determines how much the enhanced data is being ingested by the distributed queuing system and how many distributed processing nodes will be required to process the enhanced data; a structured streaming engine for distributed processing of the enhanced data from each the distributed processing node; a decision tree engine which identifies at least one data element from the enhanced data and determines a value of importance of the data element; a logistic regression model which determines the probability of failure of a corporate entity associated with the enhanced data based upon the value of importance of the data element; and an output of the results from the logistic regression model regarding the probability of failure for the corporate entity.

Abstract: A method, system and computer-usable medium are disclosed for efficient searching of a semantic model of resources and resource relationships. A query is received from an application. In turn the query is processed to determine an application usage classification for the application, which is then used to reference an index of subsets of the semantic model to identify a subset of the semantic model associated with the application usage classification. The identified subset of the semantic model is then used to modify the query, which is then used as a modified query to query the semantic model. In response, a sub-graph of the semantic model corresponding to the subset of the semantic mode is received, which in turn is provided to the application.

Abstract: A method, system and computer-usable medium are disclosed for understanding and discovering relationships within infrastructure systems via an infrastructure management system. In certain embodiments, the infrastructure systems comprise water and/or transportation systems. Such an infrastructure management system enables accidents to be prevented, traffic to flow normally, water to be conserved, cleaned and delivered safely.

Abstract: A method, system and computer-usable medium are disclosed for understanding and discovering relationships within infrastructure systems via an infrastructure management system. In certain embodiments, the infrastructure systems comprise water and/or transportation systems. Such an infrastructure management system enables accidents to be prevented, traffic to flow normally, water to be conserved, cleaned and delivered safely.

Abstract: A method, system and computer-usable medium are disclosed for efficient searching of a semantic model of resources and resource relationships. A query is received from an application. In turn the query is processed to determine an application usage classification for the application, which is then used to reference an index of subsets of the semantic model to identify a subset of the semantic model associated with the application usage classification. The identified subset of the semantic model is then used to modify the query, which is then used as a modified query to query the semantic model. In response, a sub-graph of the semantic model corresponding to the subset of the semantic mode is received, which in turn is provided to the application.

Abstract: Embodiments of the present invention provide an approach for goal-based user matching among social networking environments. In a typical embodiment, a querying user is asked to respond to a series of questions related to goals, criteria, and criteria priorities (and, optionally, a desired “degree” of separation among other users). The querying user will submit his/her responses, which are then parsed and prioritized accordingly. Based on the responses, social networking sites are then searched to identify a set (e.g., at least one) of candidate users that are potential collaboration partners with the querying user. This set of candidate users may be arranged in a list and sorted according to a best match to the querying user's responses. The list can then be provided to the querying user. In addition, invites can be sent to the set of candidate users to invite such users to connect/collaborate with the querying user.

Abstract: Method, computer program product and computer system for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets. To assign a direction of impact, a first topic map meta-model is created that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events. An identification is assigned in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events and a second topic map meta-model being created that identifies at least one association and instance ontology with direction of impact assigned to the at least one association in various scopes.

Abstract: A method, system and computer-usable medium are disclosed for managing resource capacity for the provision of cloud-based services. Application deployment and undeployment data is received, and then processed, to perform an update of a capacity-weighted graph to reflect a set of applications deployed in a cloud computing environment. The application deployment and undeployment data is then further processed to determine a set of resource dependencies associated with the set of deployed applications. Thereafter, monitoring operations are performed to monitor consumption of a set of services associated with the set of deployed applications. Further monitoring operations are then performed to monitor requests from the set of deployed applications to predict the need for the provision of a set of additional services for consumption at runtime.

Abstract: Embodiments are directed to a trusted platform powered by a client-side company application that implements a Business Organizing Principle (“BOP”) for a company and distributed immutable ledger, which provides the company with secure transactions and transaction data. The application's Business Organizing Principle identifies the business components for a company (e.g., HR, marketing, suppliers, etc.) which the application identifies as core, medium-core, and non-core. The application can then suggest and link the business to other businesses on the network based on matching BOP components. The platform's scoring engine uses the ledger's trusted transactions to generate a BOP network score and “local score” to augment traditional thereby creating a quickly developed trusted ecosystem for horizontal B2B integration between not just businesses, but business components.

Abstract: The present invention discloses a system that provides automated guidance for making architectural decisions when designing information services in a service-oriented architecture (SOA). Such a system can include a requirements manager, a reusable asset repository, and an asset advisory tool. The requirements manager can be configured to capture non-functional requirements for information services. The reusable asset repository can be configured to store design assets. The design assets can be stored according to a unique data model that associates each design asset with a non-functional requirement. The asset advisory tool can be configured to determine a list of recommended design assets for a user-selected non-functional requirement and document the architectural decision made from the list of recommended design assets.

Abstract: A standard based mapping of industry vertical models to legacy environments to suggest points of enterprise application integration. A representation of a first domain comprising industry model instance data is generated in a standard-based format from an enterprise industry model. A representation in the standard-based format of a second domain comprising legacy data is generated from the legacy environment. A set of inference rules is applied against the representation of enterprise industry model instance data and the representation of legacy data. One or more candidate legacy assets in the representation of legacy data capable of implementing an aspect of the enterprise industry model are identified. The identified one or candidate legacy assets for implementing the aspect of the enterprise industry model are then recommended to a user.

Abstract: Embodiments of the present invention provide an approach for goal-based user matching among social networking environments. In a typical embodiment, a querying user is asked to respond to a series of questions related to goals, criteria, and criteria priorities (and, optionally, a desired “degree” of separation among other users). The querying user will submit his/her responses, which are then parsed and prioritized accordingly. Based on the responses, social networking sites are then searched to identify a set (e.g., at least one) of candidate users that are potential collaboration partners with the querying user. This set of candidate users may be arranged in a list and sorted according to a best match to the querying user's responses. The list can then be provided to the querying user. In addition, invites can be sent to the set of candidate users to invite such users to connect/collaborate with the querying user.

Abstract: Associating a state machine with an asset for impact analysis by creating an asset-and-event topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events; creating a state topic map meta-model representing operating states of at least one asset; and associating an asset of the asset-and-event topic map meta-model with operating states of the asset in the state topic map meta-model.

Abstract: Embodiments of the present invention provide an approach for goal-based user matching among social networking environments. In a typical embodiment, a querying user is asked to respond to a series of questions related to goals, criteria, and criteria priorities (and, optionally, a desired “degree” of separation among other users). The querying user will submit his/her responses, which are then parsed and prioritized accordingly. Based on the responses, social networking sites are then searched to identify a set (e.g., at least one) of candidate users that are potential collaboration partners with the querying user. This set of candidate users may be arranged in a list and sorted according to a best match to the querying user's responses. The list can then be provided to the querying user. In addition, invites can be sent to the set of candidate users to invite such users to connect/collaborate with the querying user.

Abstract: Method, computer program product and computer system for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets. To assign a direction of impact, a first topic map meta-model is created that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events. An identification is assigned in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events and a second topic map meta-model being created that identifies at least one association and instance ontology with direction of impact assigned to the at least one association in various scopes.