The present invention is a system and user interface for a native toolbar that sits within a notification or control center of an operating system (OS) and looks native to the device. The native toolbar allows the user to see the notification at the top of their screen or display and is accessible prior to the user unlocking their device and through the notification center within the OS. The native toolbar provides access to frequently used applications, utility applications, a news feed as well as a search function by sending requests and receiving data from a platform that provides the native toolbar with data related to the device being used by the user to allow the native toolbar to appear native to the device.

A method, performed by one or more processors, including: receiving a user query; deriving, based on the user query, a search engine query for use with search engine software and a data access query for use with data access software; sending, to the search engine software, the search engine query to cause the search engine software to locate first data stored in a search engine index; sending, to the data access software, the data access query to cause the data access software to locate second data stored in a distributed data store; receiving, from the search engine software, the first data; and receiving, from the data access software, the second data.

A method, performed by one or more processors, including: receiving a user query; deriving, based on the user query, a search engine query for use with search engine software and a data access query for use with data access software; sending, to the search engine software, the search engine query to cause the search engine software to locate first data stored in a search engine index; sending, to the data access software, the data access query to cause the data access software to locate second data stored in a distributed data store; receiving, from the search engine software, the first data; and receiving, from the data access software, the second data.

An e-commerce voice representation system is provided and generally includes a server, a database, and a customer computing device. The server may generate a hierarchical ontology to semantically represent user queries generated by the customer computing device. The server may receive from the customer computing device data representing an e-commerce user query. The server may parse the e-commerce user query based on syntactic dependencies between the words in the e-commerce user query and translating those dependencies into semantic relations between the words. The received e-commerce user query may be tagged with actions, entities, and properties of the hierarchical ontology. Identified products may be linked to conceptual classes of the hierarchical ontology. Syntactic dependencies between words of the e-commerce user query may then be determined, and a semantic representation of the e-commerce user query may be generated based on the syntactic dependencies and mapping rules.

An e-commerce voice representation system is provided and generally includes a server, a database, and a customer computing device. The server may generate a hierarchical ontology to semantically represent user queries generated by the customer computing device. The server may receive from the customer computing device data representing an e-commerce user query. The server may parse the e-commerce user query based on syntactic dependencies between the words in the e-commerce user query and translating those dependencies into semantic relations between the words. The received e-commerce user query may be tagged with actions, entities, and properties of the hierarchical ontology. Identified products may be linked to conceptual classes of the hierarchical ontology. Syntactic dependencies between words of the e-commerce user query may then be determined, and a semantic representation of the e-commerce user query may be generated based on the syntactic dependencies and mapping rules.

A dynamic approach to indexing of content that allows a trained neural network to determine the graduality of indexes and/or the types of indexes that are employed. This dynamic approach may include generation of multiple indexes on the same content using multiple indexing algorithms.

A dynamic approach to indexing of content that allows a trained neural network to determine the graduality of indexes and/or the types of indexes that are employed. This dynamic approach may include generation of multiple indexes on the same content using multiple indexing algorithms.

Provided is an associated query display system and a method thereof, and an associated query display method according to an embodiment includes the steps of: storing a query generation condition received from a manager terminal; receiving clinical trial data from a user terminal; determining whether the clinical trial data corresponds to the query generation condition; storing a query cause item that causes generation of a query; and outputting the query on the user terminal, and providing an associated query display function capable of tracking and accessing the query cause item.

Provided is an associated query display system and a method thereof, and an associated query display method according to an embodiment includes the steps of: storing a query generation condition received from a manager terminal; receiving clinical trial data from a user terminal; determining whether the clinical trial data corresponds to the query generation condition; storing a query cause item that causes generation of a query; and outputting the query on the user terminal, and providing an associated query display function capable of tracking and accessing the query cause item.

An event query host can include one or more processors configured to process an event stream indicating events that occurred on one or more computing devices. The event stream comprises event data that is associated with occurrences of events on the one or more computing devices. The event query host can forward the event data to a first query engine and to a second query engine. The first query engine can determine, based on a set of query definitions, that the forwarded event data is associated with a first query to be executed by the first query engine, and so executes the first query instance associated with the first query. The second query engine can also determine, based on the set of query definitions, that the forwarded event data is associated with a second query to be executed by the second query engine, and so executes the second query instance associated with the second query.