Conference supporting apparatus, method, and computer program product

• US 20080077869A1
• Filed: 07/27/2007
• Published: 03/27/2008
• Est. Priority Date: 09/22/2006
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Okamoto, Yuzo, Nishimura, Keisuke, Okamoto, Masayuki, Cho, Kenta, Umeki, Hideo, Iketani, Naoki
• Application Number:
  US11/878,874
• Publication Number:
  US 20080077869A1
• Time in Patent Office: Days
• US Class Current: 715/753
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04M 2203/301 Management of recordings
• CPC Class Codes: H04M 3/42221 Conversation recording systems at the subscriber's set H04M1/656
• CPC Class Codes: H04M 3/56 Arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities video conference systems H04N7/15

Abstract

A conference supporting apparatus acquires structured data recorded with conference content in time series, and acquires information input during a conference. Keywords are extracted from the structured data and the input information. An abstract level of each of the keywords is specified in accordance with predetermined rules. Importance level of each of the keywords is calculated based on the input information. Finally, a heading for each of the abstract levels is specified from the keywords based on the importance levels.

Claims

1. A conference supporting apparatus comprising:

a first acquiring unit that acquires structured data recorded with conference content in time series;

a second acquiring unit that acquires input information input during a conference from an input device;

a first storing unit that stores therein the structured data and the input information;

an extracting unit that extracts keywords from the structured data and the input information stored in the first storing unit;

a first specifying unit that specifies an abstract level of each of the keywords based on predetermined rules;

a calculating unit that calculates importance level of each of the keywords based on the input information stored in the first storing unit;

a second specifying unit that specifies a heading for each of the abstract levels from the keywords based on the importance levels;

a determining unit that determines a hierarchical structure representing a relationship between the headings based on the abstract level of each of the headings; and

a receiving unit that receives information on a desired part of the input information and the structured data stored in the first storing unit based on the hierarchically structured headings.

2. The apparatus according to claim 1, wherein

the first acquiring unit acquires the structured data having a structure of the conference recorded in a predetermined format, and

the first specifying unit specifies the abstract level based on a rule concerning the format.

3. The apparatus to claim 1, further comprising a second storing unit that stores rule for each format of the structured data, wherein

the first specifying unit specifies the abstract level based on the rule corresponding to the format of the structured data stored in the second storing unit.

4. The apparatus according to claim 1, further comprising an identifying unit that identifies an input device that input the input information, wherein

the calculating unit calculates the importance level based on the input device identified by the identifying unit.

5. The apparatus according to claim 4, wherein the calculating unit calculates the importance level of a keyword obtained from input information acquired from an input device registered in advance, the importance level being smaller than the importance level of a keyword obtained from input information acquired from an input device other than the registered device.

6. The apparatus according to claim 1, further comprising an identifying unit that identifies a person who input the input information, wherein

the calculating unit calculates the importance level based on the input person identified by the identifying unit.

7. The apparatus according to claim 1, further comprising a reducing unit that sets the importance level calculated by the calculating unit as importance level of the keyword at an appearance time of the keyword, and reduces the importance level based on a reduction rate set in advance according to a lapse time from the appearance time of the keyword, wherein

the second specifying unit specifies the heading based on the importance level after reduction.

8. The apparatus according to claim 7, further comprising:

a third storing unit that stores therein a data type of the input information and the reduction rate by relating the data type and the reduction rate to each other;

a third specifying unit that specifies the data type of the input information; and

a fourth specifying unit that specifies the reduction rate corresponding to the data type stored in the third storing unit, wherein

the reducing unit reduces the importance level in accordance with the reduction rate specified by the fourth specifying unit.

9. A conference supporting method comprising:

acquiring structured data having conference content recorded in time series;

acquiring input information input during a conference;

extracting keywords from the structured data and the input information stored in a storing unit that stores therein the structured data and the input information;

specifying abstract level of each of the keywords in accordance with predetermined rules;

calculating importance level of each of the keywords based on the input information;

specifying a heading for each of the abstract levels from the keywords based on the importance levels;

determining a hierarchical structure representing a relationship between the headings based on the abstract level of each of the headings; and

receiving information on a desired part of the structured data and the input information, with respect to the structured data and the input information stored in the first storing unit, based on hierarchically structured headings.

10. The method according to claim 9, wherein

said step of acquiring the structured data includes acquiring the structured data having a structure of the conference recorded in a predetermined format, and

said step of specifying the abstract level includes specifying the abstract level based on the rule concerning the format.

11. The method according to claim 9, wherein

said step of specifying the abstract level includes specifying the abstract level based on the rule corresponding to the format of the structured data stored in the second storing unit which stores rules for each format of the structured data.

12. The method according to claim 9, further comprising identifying an input device that input the input information, wherein

said step of calculating includes calculating the importance level based on the input device identified at the identifying.

13. The method according to claim 9, further comprising identifying a person who input the input information, wherein

said step of calculating includes calculating the importance level based on the input person identified at the identifying.

14. The method according to claim 9, further comprising setting the importance level calculated at the calculating as importance level of the keyword at an appearance time of the keyword, and reducing the importance level based on a reduction rate set in advance according to a lapse time from the appearance time of the keyword, wherein

said step of specifying the input information includes specifying the heading based on the importance level after reduction.

15. A computer program product that has a computer-readable recording medium containing a plurality of instructions for referring conference data recorded in time series, and that can be executed by a computer, the plurality of instructions making the computer to execute:

acquiring structured data having conference content recorded in time series;

acquiring input information input during a conference;

extracting keywords from the structured data and the input information stored in a storing unit which stores the structured data and the input information;

specifying abstract level of each of the keywords in accordance with predetermined rules;

calculating importance level of each of the keywords based on the input information;

specifying a heading for each of the abstract levels from the keywords based on the importance levels;

determining a hierarchical structure representing a relationship between the headings based on the abstract level of each of the headings; and

receiving information on a desired part of the structured data and the input information, with respect to the structured data and the input information stored in the first storing unit, based on hierarchically structured headings.

16. The computer program product according to claim 15, wherein

said step of acquiring the structured data includes acquiring the structured data having a structure of the conference recorded in a predetermined format, and

said step of specifying the abstract level includes specifying the abstract level based on the rule concerning the format.

17. The computer program product according to claim 15, wherein

said step of specifying the abstract level includes specifying the abstract level based on the rule corresponding to the format of the structured data stored in the second storing unit which stores rules for each format of the structured data.

18. The computer program product according to claim 15, wherein the computer program further causes the computer to execute identifying an input device that input the input information, wherein

said step of calculating includes calculating the importance level based on the input device identified at the identifying.

19. The computer program product according to claim 15, wherein the computer program further causes the computer to execute identifying a person who input the input information, wherein

said step of calculating includes calculating the importance level based on the input person identified at the identifying.

20. The computer program product according to claim 15, wherein the computer program further causes the computer to execute setting the importance level calculated at the calculating as importance level of the keyword at an appearance time of the keyword, and reducing the importance level based on a reduction rate set in advance according to a lapse time from the appearance time of the keyword, wherein

said step of specifying the input information includes specifying the heading based on the importance level after reduction.