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Title: A Framework for Access Control with Inference Constraints
Author(s): V. Katos, D. Vrakas, P. Katsaros.
Availability: Click here to download the PDF (Acrobat Reader) file (14 pages).
Appeared in: IEEE Computer Software and Applications Conference (COMPSAC 2011), Munich, Germany, 2011.
Abstract: The paper presents an integrated approach for automated semantic web service composition using AI planning techniques. An important advantage of this approach is that the composition process, as well as the discovery of the atomic services that take part in the composition, are significantly facilitated by the incorporation of semantic information. OWL-S web service descriptions are transformed into a planning problem described in a standardized fashion using PDDL, while semantic information is used for the enhancement of the composition process as well as for approximating the optimal composite service when exact solutions are not found. Solving, visualization, manipulation and evaluation of the produced composite services are accomplished, while, unlike other systems, independence from specific planners is maintained. Implementation was performed through the development and integration of two software systems, namely PORSCE II and VLEPPO. PORSCE II is responsible for the transformation process, semantic enhancement and management of the results. VLEPPO is a general-purpose planning system used to automatically acquire solutions for the problem by invoking external planners. A case study is also presented to demonstrate the functionality, performance and potential of the approach.
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1 Cao, L. -., Chen, X. -., Du, X. -., & Shao, J. (2013). A level inference method for aggregated information of objects based on associated attributes. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 41(7), 1442-1447.
2 Al Khalil, F., Gabillon, A., & Capolsini, P. Collusion resistant inference control for cadastral databases, 2014