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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Schramm, W.: How Communication Works. In: Schramm, W. (ed.) The Process and Effects of Communication, pp. 3–26. University of Illinois Press, Urbana (1954)
Berger, C.R., Bradac, J.J.: Language and social knowledge: Uncertainty in interpersonal relations, 2nd edn. Edward Arnold, London (1985)
Kashoob, S., Caverlee, J.: Temporal dynamics of communities in social bookmarking systems. Social Network Analysis and Mining, 1–18 (March 2012)
Cattuto, C., Benz, D., Hotho, A., Stumme, G.: Semantic Grounding of Tag Relatedness in Social Bookmarking Systems. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 615–631. Springer, Heidelberg (2008)
Maguitman, A.G., Menczer, F., Erdinc, F., Roinestad, H., Vespignani, A.: Algorithmic computation and approximation of semantic similarity. World Wide Web 9(4), 431–456 (2006)
Biggs, C.A., Lant, P.A.: Activated sludge flocullation: on-line determination of floc size and the effect of shear. Water Res. 34(9), 2542–2550 (2000)
Metzger, M., Polaków, G.: A Survey on Applications of Agent Technology in Industrial Process Control. IEEE T. Ind. Inform. 7, 570–581 (2011)
Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10, 115–152 (1995)
Bellifemine, F., Caire, G., Greenwood, D.: Developing multi-agent systems with JADE. John Wiley & Sons (2007)
Searle, J.: Indirect speech acts. In: Cole, P., Morgan, J.L. (eds.) Syntax and Semantics 3: Speech Acts, pp. 59–82. Academic Press, New York (1975); Reprinted in: Davis, S. (ed.) Pragmatics: A Reader, pp. 265–277. Oxford University Press, Oxford (1991)
Katz, J.S., Martin, B.R.: What is research collaboration? Res. Policy 26, 1–18 (1997)
Choinskim, D., Senik, M.: Collaborative Control of Hierarchical System Based on JADE. In: Luo, Y. (ed.) CDVE 2010. LNCS, vol. 6240, pp. 262–269. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choinski, D., Metzger, M., Nocon, W., Polaków, G., Rozalowska, B., Skupin, P. (2012). Cooperative Access to Hierarchical Data from Biotechnological Pilot-Plant. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2012. Lecture Notes in Computer Science, vol 7467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32609-7_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-32609-7_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32608-0
Online ISBN: 978-3-642-32609-7
eBook Packages: Computer ScienceComputer Science (R0)