service ranking through slow intelligence system
T.S.Baskaran,R.Sivakumar
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 07 October,2015 Pages:412-420
Abstract
A fascinating approach slow intelligence system (SIS) is designed to manage service ranking problem arises in the web services UDDI. SIS solves the mentioned problem effectively and concretely and also moves towards the feasible solution (feasible service rank list). The phases of SIS such as Enumeration, Propagation, Adaptation, Elimination and Concentration are used to create the best rank list for the particular user request by the UDDI. Proposed work Architecture, Algorithmic steps and a case study are focused.
Kewords
Slow Intelligence - Web service - Ranking
Reference
[1] T.S.Baskaran and R.Sivakumar, “Slow Intelligence System Framework to Network Management Problems for Attaining Feasible Solution”, International Journal of Engineering and Technology (IJET), Vol 5 No 1 Feb-Mar 2013, pp. 398 – 402. [2]Information about Slow Intelligence is available at https://www.youtube.com/watch?v=TD9NoFxfFLw (Assessed 07-04-2015). [3] Shi-Kuo Chang, “A General Framework for Slow Intelligence Systems”, International Journal of Software Engineering and Knowledge Engineering, Volume 20, Number 1, February 2010, pp. 1-15. [4] Yousefipour, Amin, et al. "An ontology-based approach for ranking suggested semantic web services." Advanced Information Management and Service (IMS), 2010 6th International Conference on. IEEE, 2010, pp. 17-22 [5] Toma, Ioan, Ying Ding, and Dieter Fensel. "Optimizing Semantic Web Services Ranking Using Parallelization and Rank Aggregation Techniques." ISSS/BPSC. 2010, pp. 181-193.
