Abstract: A chat bot computing system includes a bot controller and a natural language processor. The natural language processor receives a first textual input and identifies concepts represented by the first textual input. An indication of the concepts is output to the bot controller which generates a response to the first textual input. The concepts output by the natural language processor are also fed back into the input to the natural language processor, as context information, along with an expiration indicator when a second textual input is received. The natural language processor then identifies concepts represented in the second textual input, based on the second natural language, textual input and unexpired context information.

Abstract: Methods, systems, apparatuses, and computer program products are provided for merging the query results received for a query provided to multiple services. In one aspect, a query is transmitted to a plurality of search services. A plurality of query result sets is received from the search services in response to the query. A comparer function is generated by applying a ranking algorithm to the received query result sets that orders the query results of the query result sets without regard to a received order of the query results in the query result sets. The query result sets are merged into a merged query result set using the comparer function. In an aspect, the query result sets are merged in a manner that maintains an internal order of each received query result set in the merged query result set.

Abstract: The present disclosure relates to systems and methods of overlaying a plurality of isolated collections to generate an overlaid isolated collection. In an example, a first and second isolated collection having at least one common resource may be overlaid. A first and second inference ruleset may be extracted from the first and second isolated collection, respectively. Based on the first and second inference ruleset, one or more suggestions may be generated relating to conflicting inference rules. A suggestion may comprise selecting a subset of the conflicting inference rules (e.g., none, some, or all of the rules) for inclusion in the overlay isolated collection. Another suggestion may comprise generating a new inference rule based on the conflicting inference rules. An indication relating to the suggestions may be received. The indication may be used to generate a third isolated collection and a third inference ruleset.

Abstract: A chat bot computing system includes a bot controller and a natural language processor. The natural language processor receives a first textual input and identifies concepts represented by the first textual input. An indication of the concepts is output to the bot controller which generates a response to the first textual input. The concepts output by the natural language processor are also fed back into the input to the natural language processor, as context information, when a second textual input is received. The natural language processor then identifies concepts represented in the second textual input, based on the second natural language, textual input and the context information.

Abstract: A chat bot computing system includes a bot controller and a natural language processor. The natural language processor receives a first textual input and identifies concepts represented by the first textual input. An indication of the concepts is output to the bot controller which generates a response to the first textual input. The concepts output by the natural language processor are also fed back into the input to the natural language processor, as context information, along with an expiration indicator when a second textual input is received. The natural language processor then identifies concepts represented in the second textual input, based on the second natural language, textual input and unexpired context information.

Abstract: A chat bot computing system includes a bot controller and a natural language processor. The natural language processor receives a first textual input and identifies concepts represented by the first textual input. An indication of the concepts is output to the bot controller which generates a response to the first textual input. The concepts output by the natural language processor are also fed back into the input to the natural language processor, as context information, along with an expiration indicator when a second textual input is received. The natural language processor then identifies concepts represented in the second textual input, based on the second natural language, textual input and unexpired context information.

Abstract: A chat bot computing system includes a bot controller and a natural language processor. The natural language processor receives a first textual input and identifies concepts represented by the first textual input. An indication of the concepts is output to the bot controller which generates a response to the first textual input. The concepts output by the natural language processor are also fed back into the input to the natural language processor, as context information, when a second textual input is received. The natural language processor then identifies concepts represented in the second textual input, based on the second natural language, textual input and the context information.

Abstract: A chat bot computing system includes a bot controller and a natural language processor. The natural language processor receives a first textual input and identifies concepts represented by the first textual input. An indication of the concepts is output to the bot controller which generates a response to the first textual input. The concepts output by the natural language processor are also fed back into the input to the natural language processor, as context information, along with an expiration indicator when a second textual input is received. The natural language processor then identifies concepts represented in the second textual input, based on the second natural language, textual input and unexpired context information.

Abstract: A chat bot computing system includes a bot controller and a natural language processor. The natural language processor receives a first textual input and accesses a knowledge model to identify concepts represented by the first textual input. An indication of the concepts is output to the bot controller which generates a response to the first textual input. The concepts output by the natural language processor are also fed back into the input to the natural language processor, as context information, when a second textual input is received. The natural language processor then identifies concepts represented in the second textual input, based on the second natural language, textual input and the context information.

Abstract: Systems and methods that provide for shared processing of rulesets against one or more isolated collections representing resources and relationships between those resources. Asserted resources may be added to an isolated collection and a ruleset may be accessed or received. The ruleset may be executed against the corresponding isolated collection to generated inferred data, such as inferred relationships between the asserted resources in the isolated collection. Transmitting the isolated collection to a client may depend on the type of client and on the network connection to the client. The isolated collection may be transmitted with just the asserted data and the ruleset, but not the inferred data. The client is able to locally process the rules against the asserted data to locally generate inferred data to create a locally generated enriched isolated collection. The locally generated enriched isolated collection may then be queried locally.

Abstract: Examples of the present disclosure describe systems and methods of data ingress and egress using callback notifications. In an example, a callback notification may be received. The notification may comprise one or more resources, which may be extracted. The extracted resources may be associated with resource identifiers. One or more inference rules from an inference ruleset may be applied to the extracted resources to generate any related inferred relationships. The resource identifiers and inferred relationships may be stored in an isolated collection. The content or structure of the isolated collection may satisfy a notification rule within a notification ruleset. The notification rule may be associated with a recipient. As a result of the determination, the recipient may receive a callback notification. In some examples, the callback notification may comprise a change notification or one or more resource identifiers, associated resources, or relationships from the isolated collection.

Abstract: Systems and methods that enrich asserted data in one or more isolated collections representing resources and relationships between those resources. Isolated collections and different respective rulesets for those isolated collections are accessed or received. Each respective ruleset is executed against its corresponding isolated collection to generated inferred data, such as inferred relationships between the resources in the isolated collection, to create an enriched isolated collection. Different rules within a ruleset may be executed at different times depending on their processing requirements. A query may be received for data in a particular isolated collection, and the query is executed against the isolated collection to generate results to the query including at least a portion of the inferred data. The results to the query may be displayed as a graph with nodes representing resources and edges representing relationships.

Abstract: Systems and methods that control versioning of inferred data in isolated collections representing resources and relationships between those resources. Multiple versions of rulesets may be received or accessed. Execution of each ruleset generates inferred data, such as inferred relationships between resources represented in the isolated collection. A version identifier may be incorporated into each inferred relationship or other inferred data. The version identifier indicates the particular version of a ruleset that resulted in the creation of the corresponding inferred relationship. Upon receiving a query for data in the isolated collection, the query is parsed to determine a query version identifier. Based on the query version identifier, results to the query may be filtered to include inferred data resulting only from a particular version of a ruleset. The results may be displayed as a graph with nodes representing resources and edges representing relationships.

Abstract: The present invention extends to methods, systems, and computer program products for persistent application activation and timer notifications. A durable instance manager, instance execution hosts, and an instance store interoperate to transition instances between executing and persisted states. System properties are associated with an instance. System properties can define re-activation conditions, that when satisfied, indicate that an instance is to be re-activated for execution. System properties can define timers as well as indications that instances are in a persisted but ready to run state.

Abstract: Examples of the present disclosure describe systems and methods that provide for shared processing of rulesets against one or more isolated collections representing resources and relationships between those resources. Asserted resources may be added to an isolated collection and a ruleset may be accessed or received. The ruleset may be executed against the corresponding isolated collection to generated inferred data, such as inferred relationships between the asserted resources in the isolated collection. Transmitting the isolated collection to a client may depend on the type of client and on the network connection to the client. The isolated collection may be transmitted with just the asserted data and the ruleset, but not the inferred data. The client is able to locally process the rules against the asserted data to locally generate inferred data to create a locally generated enriched isolated collection. The locally generated enriched isolated collection may then be queried locally.

Abstract: Examples of the present disclosure describe systems and methods that control versioning of inferred data in isolated collections representing resources and relationships between those resources. Multiple versions of rulesets may be received or accessed. Execution of each ruleset generates inferred data, such as inferred relationships between resources represented in the isolated collection. A version identifier may be incorporated into each inferred relationship or other inferred data. The version identifier indicates the particular version of a ruleset that resulted in the creation of the corresponding inferred relationship. Upon receiving a query for data in the isolated collection, the query is parsed to determine a query version identifier. Based on the query version identifier, results to the query may be filtered to include inferred data resulting only from a particular version of a ruleset. The results may be displayed as a graph with nodes representing resources and edges representing relationships.

Abstract: Examples of the present disclosure describe systems and methods that enrich asserted data in one or more isolated collections representing resources and relationships between those resources. Isolated collections and different respective rulesets for those isolated collections are accessed or received. Each respective ruleset is executed against its corresponding isolated collection to generated inferred data, such as inferred relationships between the resources in the isolated collection, to create an enriched isolated collection. Different rules within a ruleset may be executed at different times depending on their processing requirements. A query may be received for data in a particular isolated collection, and the query is executed against the isolated collection to generate results to the query including at least a portion of the inferred data. The results to the query may be displayed as a graph with nodes representing resources and edges representing relationships.

Abstract: Examples of the present disclosure describe systems and methods of data ingress and egress using callback notifications. In an example, a callback notification may be received. The notification may comprise one or more resources, which may be extracted. The extracted resources may be associated with resource identifiers. One or more inference rules from an inference ruleset may be applied to the extracted resources to generate any related inferred relationships. The resource identifiers and inferred relationships may be stored in an isolated collection. The content or structure of the isolated collection may satisfy a notification rule within a notification ruleset. The notification rule may be associated with a recipient. As a result of the determination, the recipient may receive a callback notification. In some examples, the callback notification may comprise a change notification or one or more resource identifiers, associated resources, or relationships from the isolated collection.

Abstract: Examples of the present disclosure describe systems and methods of overlaying a plurality of isolated collections to generate an overlaid isolated collection. In an example, a first and second isolated collection having at least one common resource may be overlaid. A first and second inference ruleset may be extracted from the first and second isolated collection, respectively. Based on the first and second inference ruleset, one or more suggestions may be generated relating to conflicting inference rules. A suggestion may comprise selecting a subset of the conflicting inference rules (e.g., none, some, or all of the rules) for inclusion in the overlay isolated collection. Another suggestion may comprise generating a new inference rule based on the conflicting inference rules. An indication relating to the suggestions may be received. The indication may be used to generate a third isolated collection and a third inference ruleset.

Abstract: Methods, systems, apparatuses, and computer program products are provided for merging the query results received for a query provided to multiple services. In one aspect, a query is transmitted to a plurality of search services. A plurality of query result sets is received from the search services in response to the query. A comparer function is generated by applying a ranking algorithm to the received query result sets that orders the query results of the query result sets without regard to a received order of the query results in the query result sets. The query result sets are merged into a merged query result set using the comparer function.