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AAAI
2006
13 years 6 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
AAAI
1996
13 years 5 months ago
Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies
To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...
James C. Lester, Bruce W. Porter
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
13 years 11 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu
EUROPAR
2008
Springer
13 years 6 months ago
Empirical Analysis of a Large-Scale Hierarchical Storage System
To prepare for future peta- or exa-scale computing, it is important to gain a good understanding on what impacts a hierarchical storage system would have on the performance of data...
Weikuan Yu, Sarp Oral, Shane Canon, Jeffrey S. Vet...
ICTAI
2009
IEEE
13 years 11 months ago
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation
Knowledge plays a central role in intelligent systems. Manual knowledge acquisition is very inefficient and expensive. In this paper, we present (1) an automatic method to acquire...
Ping Chen, Wei Ding 0003, Chris Bowes, David Brown