Towards a Scalable and Efficient Middleware for Instance Retrieval Inference Services

Atila Kaya, Ralf Möller, Alissa Kaplunova, Tobias Berger
2007 W3C Web Ontology Language (OWL) Experiences and Directions Workshop (OWLED)  
We argue for the usefulness of convenient optimization criteria, when building scalable and efficient instance retrieval inference services for ontology-based applications. We discuss several optimization criteria, especially a dedicated load balancing strategy, evaluate the approach with practical experiments on a particular implementation and present results.
dblp:conf/owled/KayaMKB07 fatcat:jnpkw7gokngnjdwftnlfoul2wa