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» Refining Information Extraction Rules using Data Provenance
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KDD
2003
ACM
149views Data Mining» more  KDD 2003»
14 years 8 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
RULEML
2007
Springer
14 years 2 months ago
Querying the Semantic Web with SWRL
The SWRLTab is a development environment for working with SWRL rules in Protégé-OWL. It supports the editing and execution of SWRL rules. It also provides mechanisms to allow int...
Martin J. O'Connor, Samson W. Tu, Csongor Nyulas, ...
JCIT
2010
149views more  JCIT 2010»
13 years 2 months ago
People Summarization by Combining Named Entity Recognition and Relation Extraction
The two most important tasks in entity information summarization from the Web are named entity recognition and relation extraction. Little work has been done toward an integrated ...
Xiaojiang Liu, Nenghai Yu
ENTCS
2008
88views more  ENTCS 2008»
13 years 8 months ago
Formal Modelling of Salience and Cognitive Load
Well-designed interfaces use procedural and sensory cues to increase the salience of appropriate actions and intentions. However, empirical studies suggest that cognitive load can...
Rimvydas Ruksenas, Jonathan Back, Paul Curzon, Ann...
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 9 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim