APPARATUS AND METHOD FOR EXECUTING APPLICATION

• US 20150324334A1
• Filed: 04/28/2015
• Published: 11/12/2015
• Est. Priority Date: 05/08/2014
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: LEE, Ji Hyun, WOO, Kyoung Gu, HONG, Seok Jin, ROH, Yo Han, YOO, Sang Hyun, LEE, Ho Dong
• Granted Patent: US 10,417,333 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/00 Handling natural language data speech analysis or synthesis, speech recognition G10L
• CPC Class Codes: G06F 40/134 Hyperlinking
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation

Abstract

An apparatus and method for executing an application may execute a text string selected by a user or an application associated with a type of text string to input the text string to increase the user'"'"'s convenience. The apparatus of executing an application includes a text string recognizer to determine a text string, a determiner to determine one or more candidate applications related to the text string, and an input location of the selected text string based on a type of the selected text string and the association model, an application list provider to generate and display a list of the candidate applications, and an application executer to execute a candidate application selected from the list and to input the selected text string into the input location of the candidate application.

Claims

1. An apparatus of executing an application, comprising:

a text string recognizer configured to determine a text string;

a determiner configured to determine one or more candidate applications related to the text string, and to determine an input location of the selected text string in the one or more candidate applications based on a type of the selected text string and an association model;

an application list provider configured to generate and display a list of the one or more candidate applications; and

an application executer configured to execute a candidate application selected from the list and to input the selected text string into the input location of the selected candidate application.

2. The apparatus of claim 1, wherein the association model comprises association information regarding the text string, a type of the text string, an application, and at least one input location of the text string in the application.

3. The apparatus of claim 1, further comprising an association model manager configured to generate usage history information on the input text string and to generate or update the association model based on the usage history information, in response to the text string being input by a user.

4. The apparatus of claim 3, wherein the usage history information comprises information regarding the text string input by the user, text string selected by the user, a type of the text string, an application where the text string has been input, and a location where the text string is input in the application.

5. The apparatus of claim 3, wherein:

the usage history information comprises a predetermined text string in the application or an input frequency of a text string of a predetermined type; and

the application list provider is configured to display a list where the one or more candidate applications are arranged in order of a highest input frequency.

6. The apparatus of claim 1, wherein the list comprises one or more applications related to a type of the selected text string, and an input location of the selected text string in the one or more candidate applications.

7. The apparatus of claim 1, wherein the text string recognizer is configured to determine a type of the text string based on one or more of a form of the text string, content of the text string, a context of a text that includes the text string, a size of the text string, a pattern of the text string, a location where the text string is selected, and a location where the text string is input.

8. The apparatus of claim 1, wherein the text string is selected or input by a user.

9. The apparatus of claim 1, wherein the text string recognizer is configured to determine the type of the text string based on a word or sentence in close proximity to the text string.

10. A method for executing an application, comprising:

determining a type of a text string;

determining one or more candidate applications related to the type of the text string, and an input location of the text string in the one or more candidate applications, based on an association model comprising the text string and association information between the text string and an application;

generating a list of the one or more candidate applications;

executing a candidate application selected from the list; and

inputting the selected text string into the input location of the executed candidate application.

11. The method of claim 10, wherein the association model comprises association information regarding the text string, a type of the text string, the application, and an input location of the text string in the application.

12. The method of claim 10, wherein the association model is generated based on usage history information of the text string input by a user.

13. The method of claim 12, wherein the usage history information comprises information regarding the text string input by the user, text string selected by the user, a type of the text string, an application where the text string has been input, and a location where the text string is input in the application.

14. The method of claim 10, wherein the usage history information comprises a predetermined text string in the application or an input frequency of a text string of a predetermined type, and the displaying of the list comprises generating a list where the one or more candidate applications are arranged in order of a highest input frequency.

15. The method of claim 10, wherein the list comprises one or more applications related to the type of the selected text string, and an input location of the selected text string in the one or more candidate applications.

16. The method of claim 10, wherein the determining of the type of the text string comprises determining the type of the text string based one or more of a form of the text string, content of the text string, a context of a text that includes the text string, a size of the text string, a pattern of the text string, a location where the text string is selected, and a location where the text string is input.

17. A method of generating an association model, comprising:

determining a type of a text string, an application where the text string is input, and an input location where the text string is input in the application;

generating usage history information regarding the text string based on the text string, the type of the text string, the application where the text string is input, and a location where the text string is input; and

generating an association model between the text string and the application based on the usage history information.

18. The method of claim 17, wherein the determining of the type of the text string, the application, and the input location comprises determining the type of the text string based on a form of the text string, a content of the text string a size of the text string, a pattern of the text string, and a input location where the text string is input.

19. The method of claim 17, wherein the association model comprises association information regarding the text string, the type of the text string, the application, and a input location of the text string in the application.

20. The method of claim 17, wherein the generating of the association model comprises creating the association model related to the text string, in response to the association model relating to the text string not being present in a association model storage.