| Publisher | Hamburg University of Technology | ||
|---|---|---|---|
| Format | 146.1KB PDF | Date added | 05 May 2007 |
| Topics | Scalability, Middleware | ||
| Downloads | 2 | ||
Over the past years the Web Ontology Language (OWL) has successfully been used by an increasing number of applications for building ontology-based systems. Description Logic (DL) reasoners allow for formal domain modeling with OWL, and support decidable reasoning problems. Experiences show that many practical applications require reasoning, especially instance retrieval inference services1, on large Knowledge Bases (KBs). Furthermore, applications request a reasonable instance retrieval performance even if the number of retrieval requests increases. In optimization techniques for retrieval inference services on large KBs are investigated and promising results are presented. However, to the best of one's knowledge, the question how DL systems can deal with an increasing number of parallel retrieval requests is still open.
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