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» High Performance Reasoning with Very Large Knowledge Bases
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ICTAI
2009
IEEE
14 years 7 months ago
A Knowledge-Light Nonlinear Case-Based Reasoning Approach to Radiotherapy Planning
Radiation is often used in prostate cancer treatments. Radiotherapy treatment planning is a complex decision making process. In order to make a patient well, the oncologist has to...
Nishikant Mishra, Sanja Petrovic, Santhanam Sundar
92
Voted
DLOG
2006
14 years 11 months ago
Tableau Caching for Description Logics with Inverse and Transitive Roles
Abstract. Modern description logic (DL) reasoners are known to be less efficient for DLs with inverse roles. The current loss of performance is largely due to the missing applicabi...
Yu Ding, Volker Haarslev
KR
2000
Springer
15 years 1 months ago
An Environment for Merging and Testing Large Ontologies
Large-scale ontologies are becoming an essential component of many applications including standard search (such as Yahoo and Lycos), ecommerce (such as Amazon and eBay), configura...
Deborah L. McGuinness, Richard Fikes, James Rice, ...
97
Voted
AAAI
2006
14 years 11 months ago
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective
In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...
Yuanbo Guo, Abir Qasem, Jeff Heflin
FOIKS
2006
Springer
15 years 1 months ago
Reasoning Support for Expressive Ontology Languages Using a Theorem Prover
It is claimed in [45] that first-order theorem provers are not efficient for reasoning with ontologies based on description logics compared to specialised description logic reasone...
Ian Horrocks, Andrei Voronkov