Knowledge Engineering Group

Knowledge Engineering Group

We con­cen­trate on the ac­qui­si­tion of ex­plic­it, for­mal­iz­able knowl­edge from sources that con­tain rel­e­vant in­for­ma­tion in im­plic­it or not di­rect­ly ac­ces­si­ble form.​ Our method­olog­i­cal focus is on the use of tech­niques from ma­chine learn­ing and data min­ing for knowl­edge ac­qui­si­tion by anal­y­sis of ex­ist­ing data or text col­lec­tions, by in­ter­ac­tion with human ex­perts, or by ex­per­i­men­ta­tion and simulation.​ The ap­pli­ca­bil­i­ty of the em­ployed method­olo­gies ranges from cog­ni­tive sci­ence prob­lems to in­dus­tri­al ap­pli­ca­tions in the areas of data or web min­ing.

Director: Prof. Dr. Johannes Fürnkranz