Performance evaluation of semantic registries: OWLJessKB and instanceStore |
| |
Authors: | Simone A Ludwig Omer F Rana |
| |
Affiliation: | (1) Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada;(2) School of Computer Science, Cardiff University, Cardiff, UK |
| |
Abstract: | Service discovery is a critical task in distributed computing architectures for finding a particular service instance. Semantic
annotations of services help to enrich the service discovery process. Semantic registries are an important component for the
discovery of services and they allow for semantic interoperability through ontology-based query formulation and dynamic mapping
of terminologies between system domains. This paper evaluates two semantic registries—OWLJessKB implementation and instanceStore—to
determine the suitability of these with regards to the query response time and the overall scalability for use in mathematical
services. Mathematical ontologies from the MONET project are used to undertake comparison. The results demonstrate that the
performance of registries may be compared across two axes: (1) time to initialize (i.e. time to load an initial ontology into
memory); (2) time to query (i.e. time to reason with an ontology loaded into memory). |
| |
Keywords: | Service discovery Semantic registries Web service |
本文献已被 SpringerLink 等数据库收录! |