CREATING EPISODIC MEMORY BASED ON UNSTRUCTURED DATA IN ELECTRONIC DEVICES

• US 20150235135A1
• Filed: 02/19/2015
• Published: 08/20/2015
• Est. Priority Date: 02/20/2014
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: SHASTRI, Lokendra, NOOKALA, Rohini, SENGUPTA, Sohini, KHATKE, Kapil, ATAL, Kailash, BANSAL, Nishu, TANDON, Rajat, KUMAR, Udaya
• Application Number:
  US14/626,144
• Publication Number:
  US 20150235135A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

A method and system for identifying episodic events in a user'"'"'s life using an electronic device are provided. The method includes receiving, by the electronic device, unstructured data from at least one data source associated with a user, and identifying at least one episodic event from the unstructured data based on at least one parameter, wherein the at least one parameter is at least one of a casual reasoning, a spatial reasoning, or a temporal reasoning.

Claims

1. A method of identifying episodic events using an electronic device, the method comprising:

receiving, by the electronic device, unstructured data from at least one data source associated with a user; and

identifying at least one episodic event from the unstructured data based on at least one parameter,

wherein the at least one parameter is at least one of a casual reasoning, a spatial reasoning, or a temporal reasoning.

2. The method of claim 1, wherein the identifying of the at least one episodic event from the unstructured data based on the at least one parameter comprises:

extracting at least one episodic element from the unstructured data using a natural language processing (NLP) engine;

inferring at least one episodic element from the at least one extracted episodic element to identify the at least one episodic event; and

identifying at least one episodic relation between the at least one identified episodic event and at least one episodic event stored in the electronic device using at least one of the casual reasoning, the spatial reasoning, or the temporal reasoning.

3. The method of claim 2, wherein the inferring of the at least one episodic element comprises structuring the extracted at least one episodic element into the at least one episodic event based on contextual information, causal interferences and referential interferences.

4. The method of claim 1, wherein the method further comprises:

receiving a query including information related to an episodic event from the user;

searching an episodic memory management module of the electronic device according to the query; and

obtaining a result from the episodic memory management module as a response to the query,

wherein the result identifies information associated with the episodic event related to the information included in the query.

5. The method of claim 1, wherein the method further comprises sharing the at least one identified episodic event with other users.

6. The method of claim 1,

wherein each identified episodic event of the at least one identified episodic event is combined and stored in an episodic memory management module of the electronic device, and

wherein each independent episodic event of the at least one identified episodic event is associated with at least one of a time, a location, or a description.

7. An electronic device comprising:

a data source configured to include data associated with a user;

a controller module configured to receive unstructured data from the data source, and to identify at least one episodic event from the unstructured data based on at least one parameter; and

an episodic memory management module configured to store the at least one identified episodic event,

wherein the at least one parameter is at least one of a casual reasoning, a spatial reasoning, or a temporal reasoning.

8. The electronic device of claim 7, wherein the controller module is further configured to:

extract at least one episodic element from the unstructured data using a natural language processing (NLP) engine;

infer at least one episodic element from the at least one extracted episodic element to identify the at least one episodic event; and

identify at least one episodic relation between the at least one identified episodic event and at least one episodic event stored in the electronic device using at least one of the casual reasoning, the spatial reasoning, or the temporal reasoning.

9. The electronic device of claim 7, wherein the controller module is further configured to:

receive a query including information related to an episodic event from the user;

search the episodic memory management module according to the query; and

obtain a result from the episodic memory management module as a response to the query,

wherein the result identifies information associated with the episodic event related to the information included in the query.

10. The electronic device of claim 7, wherein the controller module is further configured to share the at least one identified episodic event with other users.

11. The electronic device of claim 7,

wherein each identified episodic event of the at least one identified episodic event is combined and stored in the episodic memory management module,

wherein each identified episodic event of the at least one identified episodic event is associated with at least one of a time, a location, or a description.

12. A non-transitory computer-readable recording medium having a computer program recorded thereon, the computer program causing a computer to execute a method comprising:

receiving unstructured data from at least one data source associated with a user; and

identifying at least one episodic event from the unstructured data based on at least one parameter,

wherein the at least one parameter is at least one of a casual reasoning, a spatial reasoning, or a temporal reasoning.

13. The non-transitory computer-readable recording medium of claim 12, wherein the identifying of the at least one episodic event from the unstructured data based on the at least one parameter comprises:

extracting at least one episodic element from the unstructured data using a Natural Language Processing (NLP) engine;

inferring at least one episodic element from the at least one extracted episodic element to identify the at least one episodic event; and

identifying at least one episodic relation between the at least one identified episodic event and at least one episodic event stored in the electronic device using at least one of the casual reasoning, the spatial reasoning, or the temporal reasoning.

14. The non-transitory computer-readable recording medium of claim 12, wherein the method further comprises:

receiving a query including information related to an episodic event from the user;

searching an episodic memory management module of an electronic device according to the query; and

obtaining a result from the episodic memory management module as a response to the query,

wherein the result identifies information associated with the episodic event related to the information included in the query.

15. The non-transitory computer-readable recording medium of claim 12, wherein the method further comprises sharing the at least one identified episodic event with other users.

16. The non-transitory computer-readable recording medium of claim 12,

wherein each identified episodic event of the at least one identified episodic event is combined and stored in an episodic memory management module, and

wherein each identified episodic event of the at least one identified episodic event is associated with at least one of a time, a location, or a description.

17. A method of displaying contents in an electronic device, the method comprising:

acquiring a voice input;

identifying an episodic event from the voice input;

acquiring at least one episodic element related to the episodic event from the voice input;

retrieving at least one content corresponding to the at least one acquired episodic element from a storage; and

displaying a visual object indicating the retrieved at least one content.

18. The method of claim 17, wherein the retrieved at least one content comprises at least one of an image, a document, an e-mail, an audio, or a video.

19. The method of claim 17, wherein the acquiring of the voice input comprises receiving the voice input from at least one of a microphone or a communication module.

20. The method of claim 17, further comprising:

outputting a voice for requesting a re-retrieval;

receiving an additional voice input as a response to the output voice; and

acquiring at least one additional episodic element from the additional voice input.

21. The method of claim 17, wherein the at least one episodic element is related to a time, a place, an emotion, or a name.