Annotating collaborative content to facilitate mining key content as a runbook

1. A method to tag collaborative content to facilitate mining key content as a run book, the method comprising:

providing a user interface allowing a user to annotate portions of collaborative content in a collaborative effort system, the collaborative content comprising one or more log elements;

receiving the collaborative content of two or more experts, wherein the collaborative content comprises a plurality of messages generated by the two or more experts while solving a past problem;

generating a plurality of log elements based on the collaborative content, by dividing the collaborative content into the plurality of log elements, wherein each of the plurality of log elements is an entry in the collaborative content;

receiving, through the user utilizing the user interface, a selection of one or more log elements in the collaborative content;

responsive to the user utilizing the user interface to select the one or more log elements in the collaborative content, tagging each selected log elements of the selected one or more log elements with a respective annotation that describes a relevancy of the selected log element to the past problem;

extracting the selected one or more log elements and respective annotations of the selected one or more log elements; and

generating automatically a runbook for a future problem related to the past problem, based on the selected one or more log elements and respective annotations, wherein the runbook comprises the selected one or more log elements.

2. The method of claim 1 , further comprising:

receiving input of modifications to the runbook; and

updating the runbook based on the received modifications.

3. The method of claim 1 , wherein a respective annotation of a first log element of the selected one or more log elements identifies at least one of a status, a procedural step, a scope of applicability, and a context.

4. The method of claim 1 , further comprising:

applying a rule-based algorithm to the collaborative content and the selected one or more log elements.

5. The method of claim 4 , wherein the rule-based algorithm comprises:

ordering the collaborative content in a time-ordered sequence;

forming the selected one or more log elements into the runbook, wherein the selected one or more log elements are arranged in the runbook according to the time-ordered sequence.

6. The method of claim 4 , further comprising:

receiving inputs to adjust the runbook; and

adjusting the runbook based on the received inputs.

7. The method of claim 1 , further comprising:

applying natural language process and analytic analysis to the collaborative content to identify log elements of interest; and

tagging the log elements of interest for approval by a user.

8. A system to tag collaborative content to facilitate mining key content as a run book comprising:

a memory having computer readable instructions; and

a processor configured to execute the computer readable instructions, the computer readable instructions comprising:

providing a user interface allowing a user to annotate portions of collaborative content in a collaborative effort system, the collaborative content comprising one or more log elements;

receiving the collaborative content of two or more experts, wherein the collaborative content comprises a plurality of messages generated by the two or more experts while solving a past problem;

generating a plurality of log elements based on the collaborative content, by dividing the collaborative content into the plurality of log elements, wherein each of the plurality of log elements is an entry in the collaborative content;

receiving, through the user utilizing the user interface, a selection of one or more log elements in the collaborative content;

responsive to the user utilizing the user interface to select the one or more log elements in the collaborative content, tagging each selected log elements of the selected one or more log elements with a respective annotation that describes a relevancy of the selected log element to the past problem;

extracting the selected one or more log elements and respective annotations of the selected one or more log elements; and

generating automatically a runbook for a future problem related to the past problem, based on the selected one or more log elements and respective annotations, wherein the runbook comprises the selected one or more log elements.

9. The system of claim 8 , wherein the computer readable instructions further comprise:

receiving input of modifications to the runbook; and

updating the runbook based on the received modifications.

10. The system of claim 8 , wherein the computer readable instructions further comprise:

applying a rule-based algorithm to the collaborative content and the selected one or more log elements.

11. The system of claim 10 , wherein the rule-based algorithm comprises:

ordering the collaborative content in a time-ordered sequence;

forming the selected one or more log elements into the runbook, wherein the selected one or more log elements are arranged in the runbook according to the time-ordered sequence.

12. The system of claim 8 , wherein the computer readable instructions further comprise:

applying natural language process and analytic analysis to the collaborative content to identify log elements of interest; and

tagging the log elements of interest for approval by a user.

13. A computer program product to tag collaborative content to facilitate mining key content as a run book, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

provide a user interface allowing a user to annotate portions of collaborative content in a collaborative effort system, the collaborative content comprising one or more log elements;

receive the collaborative content of two or more experts, wherein the collaborative content comprises a plurality of messages generated by the two or more experts while solving a past problem;

generate a plurality of log elements based on the collaborative content, by dividing the collaborative content into the plurality of log elements, wherein each of the plurality of log elements is an entry in the collaborative content;

receive, through the user utilizing the user interface, a selection of one or more log elements in the collaborative content;

responsive to the user utilizing the user interface to select the one or more log elements in the collaborative content, tag each selected log elements of the selected one or more log elements with a respective annotation that describes a relevancy of the selected log element to the past problem;

extract the selected one or more log elements and respective annotations of the selected one or more log elements; and

generate automatically a runbook for a future problem related to the past problem, based on the selected one or more log elements and respective annotations, wherein the runbook comprises the selected one or more log elements.

14. The computer program product of claim 13 , the program instructions executable by a processor further configured to cause the processor to:

apply a rule-based algorithm to the collaborative content and the selected one or more log elements.

15. The computer program product of claim 14 , wherein the rule-based algorithm comprises:

ordering the collaborative content in a time-ordered sequence;

forming the selected one or more log elements into the runbook, wherein the selected one or more log elements are arranged in the runbook according to the time-ordered sequence.

16. The computer program product of claim 13 , the program instructions executable by a processor further configured to cause the processor to:

apply natural language process and analytic analysis to the collaborative content to identify log elements of interest; and

tagging the log elements of interest for approval by a user.