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ASWC
2008
Springer
15 years 2 months ago
Scalable Distributed Ontology Reasoning Using DHT-Based Partitioning
Abstract. Ontology reasoning is an indispensable step to fully exploit the implicit semantics of Semantic Web data. The inherent distribution characteristic of the Semantic Web and...
Qiming Fang, Ying Zhao, Guangwen Yang, Weimin Zhen...
ICFP
2005
ACM
16 years 12 days ago
Acute: high-level programming language design for distributed computation
Existing languages provide good support for typeful programming of standalone programs. In a distributed system, however, there may be interaction between multiple instances of ma...
Peter Sewell, James J. Leifer, Keith Wansbrough, F...
ICDCS
2002
IEEE
15 years 5 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
108
Voted
CLOUD
2010
ACM
15 years 5 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
79
Voted
EGC
2005
Springer
15 years 6 months ago
OpenMolGRID: Using Automated Workflows in GRID Computing Environment
Quantitative Structure Activity/Property Relationship (QSAR/QSPR) model development is a complex and time-consuming procedure involving data gathering and preparation. It plays an ...
Sulev Sild, Uko Maran, Mathilde Romberg, Bernd Sch...