APPARATUS AND METHOD FOR GENERATING ACTIVITY HISTORY

• US 20120185417A1
• Filed: 09/20/2011
• Published: 07/19/2012
• Est. Priority Date: 01/17/2011
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Okamoto, Masayuki
• Application Number:
  US13/237,004
• Publication Number:
  US 20120185417A1
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

According to one embodiment, a context acquisition unit acquires a context of a user and a date when the context has occurred. A context storage unit stores the context and the date. An activity information storage unit stores activity information of the user and date information to schedule the activity information. A first assignment unit assigns, to a first date corresponding to the date information, the activity information or an activity label extracted from the activity information. A second assignment unit assigns, to a second date to which the activity information or the activity label is not assigned, an activity label by using the context of the second date and an activity label assignment rule previously trained.

Claims

1. An apparatus for generating an activity history, comprising:

a context acquisition unit configured to acquire a context of a user and a date when the context has occurred;

a context storage unit configured to store the context and the date;

an activity information storage unit configured to store activity information of the user and date information to schedule the activity information;

a first assignment unit configured to assign, to a first date corresponding to the date information, the activity information or an activity label extracted from the activity information; and

a second assignment unit configured to assign, to a second date to which the activity information or the activity label is not assigned, an activity label by using the context of the second date and an activity label assignment rule previously trained.

2. The apparatus according to claim 1, further comprising:

an activity label assignment rule-training unit configured to set the activity label extracted from the activity information to a classified class, to set the context of the first date to an attribute, and to train the activity label assignment rule by using the classified class and the attribute.

3. The apparatus according to claim 2, wherein

the activity label assignment rule-training unit sets a date or a place extracted from the activity information as an attribute, and trains the activity label assignment rule by using the attribute.

4. The apparatus according to claim 2, wherein

the activity label assignment rule-training unit sets a plurality of activity labels decided as a synonym to the same classified class, and trains the activity label assignment rule by using the same classified class.

5. The apparatus according to claim 4, wherein

the synonym is decided by using notations of the plurality of activity labels.

6. The apparatus according to claim 4, wherein

the context storage unit stores contexts of a plurality of users,

the activity information storage unit stores activity information of the plurality of users, and

a synonym in activity labels extracted from the activity information of the plurality of users is decided by using the contexts occurred at the same date.

7. The apparatus according to claim 2, wherein

the context storage unit stores contexts of a plurality of users,

the activity information storage unit stores activity information of the plurality of users, and

the activity label assignment rule-training unit sets the contexts to an attribute, sets an activity label extracted from the activity information of the plurality of users to a classified class, and trains the activity label assignment rule by using the attribute and the classified class.

8. The apparatus according to claim 1, further comprising:

an activity history retrieval unit configured to retrieve the activity information or the activity label assigned by the first assignment unit, and the activity label assigned by the second assignment unit.

9. A method for generating an activity history, comprising:

acquiring a context of a user and a date when the context has occurred;

storing the context and the date;

storing activity information of the user and date information to schedule the activity information;

assigning, to a first date corresponding to the date information, the activity information or an activity label extracted from the activity information; and

assigning, to a second date to which the activity information or the activity label is not assigned, assign an activity label by using the context of the second date and an activity label assignment rule previously trained.

10. The method according to claim 9, further comprising:

setting the activity label extracted from the activity information to a classified class;

setting the context of the first date to an attribute; and

training the activity label assignment rule by using the classified class and the attribute.

11. A computer readable medium for causing a computer to perform a method for generating an activity history, the method comprising:

acquiring a context of a user and a date when the context has occurred;

storing the context and the date;

storing activity information of the user and date information to schedule the activity information;

assigning, to a first date corresponding to the date information, the activity information or an activity label extracted from the activity information; and

assigning, to a second date to which the activity information or the activity label is not assigned, assign an activity label by using the context of the second date and an activity label assignment rule previously trained.

12. The computer readable medium according to claim 11, the method further comprising:

setting the activity label extracted from the activity information to a classified class;

setting the context of the first date to an attribute; and

training the activity label assignment rule by using the classified class and the attribute.