Cooperative access to hierarchical data from biotechnological pilot-plant

Abstract

A hierarchy of data is dependent on the level of its complexity and on the amount of knowledge needed for its interpretation. Cooperation between users of the data at different levels of hierarchy requires development of plans to access the data for individual users depending on their needs. Such plans can be built basing on the common field of experience notion. The work presented in the paper focuses on increasing the cooperation efficiency through the use of a social bookmarking system maintaining the unambiguity of hierarchical knowledge structures. Lack of such structures would significantly impair the cooperation process. The proposed multiagent system contains ontologies for classifying non-hierarchical components and enables the exchange and comparison of the data structures. Thus, tags associated with the graph-based rules of social bookmarking can be classified using strict hierarchical terms. Presented solution was evaluated by supporting microscopic observations during experimentation on biostimulation of biological wastewater treatment process. © 2012 Springer-Verlag.