Abstract: A content recommendation is provided based on a knowledge graph using, for example, a processor and memory of a device. In some embodiments, sensors are used. The content recommendation efficiently makes user of the processor, memory and/or sensors. A knowledge graph is maintained at the device and another knowledge graph may be maintained at a server. The knowledge graph at the device is generated, for example, by obtaining log history information, generating a device knowledge graph, generating a pattern knowledge graph associated with a behavior pattern of a user, and/or updating the device knowledge graph by adding the pattern knowledge graph to the device knowledge graph. In some examples, the knowledge graph at the server is generated by a server, based on the pattern knowledge graph.

Abstract: A method of updating a server knowledge graph, is performed by a server and includes obtaining a server knowledge graph of the server, and obtaining a plurality of device knowledge graphs by receiving a device knowledge graph from each of a plurality of devices. The method further includes generating a knowledge graph for server knowledge graph extension, based on the obtained plurality of device knowledge graphs, and updating the obtained server knowledge graph, using the generated knowledge graph for server knowledge graph extension.

Abstract: An electronic device is provided. The electronic device includes a communication interface, a memory storing information corresponding to a plurality of user terminals respectively, and a processor configured to identify, based on an advertisement request signal and context information of a display device being received from the display device, at least one user terminal corresponding to context information of the display device from among the plurality of user terminals, identify advertisement information corresponding to the identified user terminal based on the stored information, and transmit the identified advertisement information to the display device through the communication interface.

Abstract: A method of updating a server knowledge graph, is performed by a server and includes obtaining a server knowledge graph of the server, and obtaining a plurality of device knowledge graphs by receiving a device knowledge graph from each of a plurality of devices. The method further includes generating a knowledge graph for server knowledge graph extension, based on the obtained plurality of device knowledge graphs, and updating the obtained server knowledge graph, using the generated knowledge graph for server knowledge graph extension.

Abstract: An electronic device is disclosed. The electronic device of the present disclosure comprises a microphone, a memory including at least one command, and a processor which is connected to the microphone and the memory and controls the electronic device, wherein the processor, by executing the at least one command extracts a keyword from a user voice received as an input when the user voice is input through the microphone, acquires context information at the time when the user voice is input, acquires an object related to the user voice and knowledge information relating to the object, on the basis of the extracted keyword and the context information, and updates a stored knowledge database on the basis of the knowledge information relating to the object. In particular, at least a part of a method for providing a response to a user query by an electronic device may use an artificial intelligence model learned in accordance with at least one of machine learning, a neural network, and a deep-learning algorithm.

Abstract: An electronic device is disclosed.

Abstract: A method of updating a server knowledge graph, is performed by a server and includes obtaining a server knowledge graph of the server, and obtaining a plurality of device knowledge graphs by receiving a device knowledge graph from each of a plurality of devices. The method further includes generating a knowledge graph for server knowledge graph extension, based on the obtained plurality of device knowledge graphs, and updating the obtained server knowledge graph, using the generated knowledge graph for server knowledge graph extension.

Abstract: A content recommendation is provided based on a knowledge graph using, for example, a processor and memory of a device. In some embodiments, sensors are used. The content recommendation efficiently makes user of the processor, memory and/or sensors. A knowledge graph is maintained at the device and another knowledge graph may be maintained at a server. The knowledge graph at the device is generated, for example, by obtaining log history information, generating a device knowledge graph, generating a pattern knowledge graph associated with a behavior pattern of a user, and/or updating the device knowledge graph by adding the pattern knowledge graph to the device knowledge graph. In some examples, the knowledge graph at the server is generated by a server, based on the pattern knowledge graph.

Abstract: An electronic device for performing a control operation and a method therefor are provided. The electronic device includes a communication interface, a memory to store at least one command, and a processor connected to the communication interface and the memory. The processor is configured to, by executing the at least one command, based on usage information of a first user using the electronic device, establish a first device knowledge base by obtaining a first control condition and a first control operation preferred by a first user, based on a context corresponding to the first control condition being detected, identify whether to perform the first control operation stored in the first device knowledge base based on a basic knowledge base that stores information on the context and information on the electronic device, and based on a result of the identification, control the electronic device.

Abstract: Provided are an artificial intelligence (AI) system using a machine learning algorithm and an application of the AI system. A device for providing content based on a knowledge graph includes: a memory storing instructions; and a processor configured to execute the instructions to: obtain context information related to the device; obtain a first device knowledge graph of a user of the device by inputting the obtained context information to a first AI model for determining a relation between entities related to the user of the device; request, from a server, a server knowledge graph generated by the server; receive the server knowledge graph; obtain a second device knowledge graph of the user by inputting the obtained first device knowledge graph and the received server knowledge graph to a second AI model for extending the first device knowledge graph; and provide content based on the obtained second device knowledge graph.