3.2. Knowledge tree and its implementation
Though the above process, the SBMs will calculate a lot of knowledge on some problems, so a software platform
is necessary to manage them efficiently. So we designed a structure to store knowledge tree and form an enterprise
ontology base [26]. Then we designed the data base with its tables, proposed an algorithm as showing in Fig 3.
In the algorithm, we first locating the problem expressed with base element, then collect information and
knowledge especially from data mining. We select knowledge as seed, cultivate it based on ontology or basic
element base. Then we judge if the knowledge tree grows to meet the goal, if not, maybe add more experience
knowledge by human-computer interaction. Loop until meet the need of decision makers.