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ICCSA
2007
Springer
16 years 27 days ago
ontoX - A Method for Ontology-Driven Information Extraction
Information Extraction (IE) is an important research field within the Artificial Intelligence community, for it tries to extract relevant information out of vast amounts of data....
Burcu Yildiz, Silvia Miksch
ICWL
2007
Springer
16 years 27 days ago
Using Constraint-Based Modelling to Describe the Solution Space of Ill-defined Problems in Logic Programming
Intelligent Tutoring Systems have made great strides in recent years. Many of these gains have been achieved for welldefined problems. However, solving ill-defined problems is imp...
Nguyen-Thinh Le, Wolfgang Menzel
IDEAL
2007
Springer
16 years 27 days ago
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
Francisco Martínez-Álvarez, Alicia T...
ILP
2007
Springer
16 years 27 days ago
Mode-Directed Inverse Entailment for Full Clausal Theories
Mode declarations are a successful form of language bias in explanatory ILP. But, while they are heavily used in Horn systems, they have yet to be similarly exploited in more expre...
Oliver Ray, Katsumi Inoue
ISI
2007
Springer
16 years 27 days ago
Making Sense of VAST Data
: We view the task of sensemaking in intelligence as that of abducing a story whose plot explains the current data and makes verifiable predictions about the future and the past. W...
Summer Adams, Ashok K. Goel
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