Dear Colleague,

there is a fundamental problem in your question. Definition of tacit knowledge is the part of our knowledge we cannot formulate, neither with interviews, spoken/written text, or drawings, paintings, equations, models etc.

So, what are you really looking for? A kind of a community tool which then converts its content into pdf format. The formalization will be done by the experts who describe/share the experiences, cases, stories, opinions, views in this environment.

So, you can use

- a survey system, which puts the questions and the answers into a database or into a spreadsheet, from which you can use these texts directly or print into pdf format.

- a forum system with an add-on, which converts a webpage into pdf. This way you can keep the original structure of the answers. We use for this purpose this: https://www.printfriendly.com/

I hope this helps.

Dear Ferenc Kiss,

I am looking a tool like social media it allow my experts to share view on  asking topic  after that a mediator take care for drafting it , then final it would store on database 

I do not know such a system for free. Some companies are using Google+ for community and the mediator copypaste the texts into one document and edit it.

If it is a simple colelction of Q&As, we useally use shared documents in which the experts can put the questions and get the answers. In sophisticated situation we use our self developed system which semi-automatically processes the texts with autonomous tagging, setting up ontology-like term structures etc.

Hו,

It seems that the way to do this is by creating a workplace closed information system , and introduce issues for discussion among the workplace members. The issues should be introduced repeatedly so that maximum tacit knowledge will become visible.

One possible way is to extract important features pointing out community requirements. I'm not aware of a tool doing that with acceptable quality in an automated way. We do it semi-automatically in our OntoElect methodology. Some pointers are:

- Tatarintseva, S., Ermolayev, V., Keller, B., Matzke, W.-E.: Quantifying Ontology Fitness in OntoElect Using Saturation- and Vote-Based Metrics. In: Ermolayev, V., et al. (Eds.) ICT in Education, Research, and Industrial Applications. Revised Selected Papers of ICTERI 2013, CCIS Vol. 412, pp. 136–162, Springer-Verlag, Berlin-Heidelberg, 2013

- Ermolayev, V., Batsakis, S., Keberle, N., Tatarintseva, O., Antoniou, G.: Ontologies of Time: Review and Trends. Int. J. of Computer Science & Applications. Vol. 11, Issue 3, 57–115, 2014

- Ermolayev, V.: The Law of Gravitation for Ontologies and Domains of Discourse. Computer Science Journal of Moldova, 23(2), 209 - 236, 2015

Hi,

I was thinking of another way of converting tacit knowledge into explicit knowledge in a domain . It could be done by designing a survey questionnaire with double-meaning questions, so that when an answer is given to the explicit meaning of the question, you could deduce from it on its implicit meaning. This way a  tacit knowledge could surface.

I find your answer intriguing Avishag.  It suggests that tacit knowledge could be logically deduced.  Could you give a simple example of a double meaning question and a possible explicit answer and deduced meaning?

Dear Colleague,

Our team developed a database and a computer technology for goal-oriented knowledge discovery that can elicit and articulate tacit knowledge on linguistics:

https://www.researchgate.net/publication/281275186_Outlining_Goals_for_Discovering_new_Knowledge_and_Computerised_Tracing_of_Emerging_Meanings .

I hope this helps.

Conference Paper Outlining Goals for Discovering new Knowledge and Computeris...