Using Domain Specific Hierarchical Good Practice for Ranking Service Compositions

MARGINEAN, Anca; LETIA, Ioan Alfred; ZAPOROJAN, Sergiu

dc.contributor.author	MARGINEAN, Anca
dc.contributor.author	LETIA, Ioan Alfred
dc.contributor.author	ZAPOROJAN, Sergiu
dc.date.accessioned	2021-10-12T10:49:41Z
dc.date.available	2021-10-12T10:49:41Z
dc.date.issued	2014
dc.identifier.citation	MARGINEAN, Anca, LETIA, Ioan Alfred, ZAPOROJAN, Sergiu. Using Domain Specific Hierarchical Good Practice for Ranking Service Compositions. In: 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing: proc. IEEE SYNASC-2014, 22-25 Sept. 2014, Timisoara, Romania, art. N. 14918163.	en_US
dc.identifier.uri	https://doi.org/10.1109/SYNASC.2014.35
dc.identifier.uri	http://repository.utm.md/handle/5014/17691
dc.description	Access full text - https://doi.org/10.1109/SYNASC.2014.35. Este ataşată prezentarea.	en_US
dc.description.abstract	We propose a method for ranking the service compositions according to the good practice of each domain. Knowledge about good practice is modeled in a hierarchical manner inspired from Hierarchical Task Networks. In describing the good practice knowledge we give a model for HTN in N3 notation and we enhanced it with an importance value. Each candidate service composition is checked against good practice in a model checking style. A candidate composition is a sequence of services. The candidate composition is compared to the constraints defined in good practice and is considered good if for each simple task the most important constraints are fulfilled.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	service compositions	en_US
dc.title	Using Domain Specific Hierarchical Good Practice for Ranking Service Compositions	en_US
dc.type	Article	en_US