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» Using ontologies for simulation integration
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SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 10 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
DALT
2009
Springer
14 years 8 days ago
Ontology and Time Evolution of Obligations and Prohibitions Using Semantic Web Technology
The specification and monitoring of conditional obligations and prohibitions with starting points and deadlines is a crucial aspect in the design of open interaction systems. In th...
Nicoletta Fornara, Marco Colombetti
AWIC
2003
Springer
14 years 2 months ago
Formalization of Web Design Patterns Using Ontologies
Design patterns have been enthusiastically embraced in the software engineering community as well as in the web community since they capture knowledge about how and when to apply a...
Susana Montero, Paloma Díaz, Ignacio Aedo
SAC
2008
ACM
13 years 8 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod
ICSNW
2004
Springer
238views Database» more  ICSNW 2004»
14 years 2 months ago
Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...