Abstract: Implementations are described herein for analyzing existing interactive web sites to facilitate automatic engagement with those web sites, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those websites. For example, in various implementations, techniques described herein may be used to extract, validate, maintain, generalize, extend and/or distribute individual actions and “traces” of actions that are useable to navigate through various interactive websites. Additionally, techniques are described herein for leveraging these actions and/or traces to automate aspects of interaction with a third party website.

Abstract: Implementations are described herein for analyzing existing interactive web sites to facilitate automatic engagement with those web sites, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those websites. For example, in various implementations, techniques described herein may be used to abstract, validate, maintain, generalize, extend and/or distribute individual actions and “traces” of actions that are useable to navigate through various interactive websites. Additionally, techniques are described herein for leveraging these actions and/or traces to automate aspects of interaction with a third party website.

Abstract: Implementations are described herein for analyzing existing interactive web sites to facilitate automatic engagement with those web sites, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those websites. For example, in various implementations, techniques described herein may be used to abstract, validate, maintain, generalize, extend and/or distribute individual actions and “traces” of actions that are useable to navigate through various interactive websites. Additionally, techniques are described herein for leveraging these actions and/or traces to automate aspects of interaction with a third party website.

Abstract: In some implementations, a query that includes a sequence of terms is obtained, the query is mapped, based on the sequence of the terms, to a dependency tree that represents dependencies among the terms in the query, an entity type that corresponds to an entity sought by the query is determined based on a term represented by a root of the dependency tree, a particular entity is identified based on both the entity type and a relevance of the entity to the terms in the query, and a response to the query is provided based on the particular entity that is identified.

Abstract: A method and system for data pipeline monitoring receives an event data object and a current status data object from one or more subsystems of a pipeline. The system analyzes the event data object and the current status data object to determine a first and second validation value. The system, in response to determining that either the first or second validation value is not valid, sends a notification.

Abstract: In some implementations, a query that includes a sequence of terms is obtained, the query is mapped, based on the sequence of the terms, to a dependency tree that represents dependencies among the terms in the query, an entity type that corresponds to an entity sought by the query is determined based on a term represented by a root of the dependency tree, a particular entity is identified based on both the entity type and a relevance of the entity to the terms in the query, and a response to the query is provided based on the particular entity that is identified

Abstract: A method and system for data pipeline monitoring receives an event data object and a current status data object from one or more subsystems of a pipeline. The system analyzes the event data object and the current status data object to determine a first and second validation value. The system, in response to determining that either the first or second validation value is not valid, sends a notification.

Abstract: A method and system for data pipeline monitoring receives an event data object and a current status data object from one or more subsystems of a pipeline. The system analyzes the event data object and the current status data object to determine a first and second validation value. The system, in response to determining that either the first or second validation value is not valid, sends a notification.

Abstract: A method and system for data pipeline monitoring receives an event data object and a current status data object from one or more subsystems of a pipeline. The system analyzes the event data object and the current status data object to determine a first and second validation value. The system, in response to determining that either the first or second validation value is not valid, sends a notification.

Abstract: A method and system for data pipeline monitoring receives an event data object and a current status data object from one or more subsystems of a pipeline. The system analyzes the event data object and the current status data object to determine a first and second validation value. The system, in response to determining that either the first or second validation value is not valid, sends a notification.