Situation recognition for service management systems using OWL 2 reasoners

Author

Dargie, W. ; Eldora ; Mendez, Jeremiah ; Mobius, Christoph ; Rybina, Kateryna ; Thost, Veronika ; Turhan, Anni-Yasmin

fYear

2013

fDate

18-22 March 2013

Firstpage

31

Lastpage

36

Abstract

For service management systems the early recognition of situations that necessitate a rebinding or a migration of services is an important task. To describe these situations on differing levels of detail and to allow their recognition even if only incomplete information is available, we employ the ontology language OWL 2 and the reasoning services defined for it. In this paper we provide a case study on the performance of state of the art OWL 2 reasoning systems for answering class queries and conjunctive queries modeling the relevant situations for service rebinding or migration in the differing OWL 2 profiles.

Keywords

distributed processing; inference mechanisms; knowledge representation languages; ontologies (artificial intelligence); query processing; OWL 2 profiles; OWL 2 reasoner; OWL 2 reasoning systems; class query answering; conjunctive query answering; distributed computing environments; ontology language OWL 2; reasoning services; service management systems; service migration; service rebinding; situation recognition; Cognition; Hardware; OWL; Ontologies; Power demand; Runtime; Servers;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on

Conference_Location

San Diego, CA

Print_ISBN

978-1-4673-5075-4

Electronic_ISBN

978-1-4673-5076-1

Type

conf

DOI

10.1109/PerComW.2013.6529452

Filename

6529452