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» Extracting Large-Scale Knowledge Bases from the Web
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FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
16 years 22 days ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
AIIA
2007
Springer
16 years 14 days ago
Harvesting Relational and Structured Knowledge for Ontology Building in the WPro Architecture
We present two algorithms for supporting semi-automatic ontology building, integrated in WPro, a new architecture for ontology learning from Web documents. The first algorithm auto...
Daniele Bagni, Marco Cappella, Maria Teresa Pazien...
PKDD
2007
Springer
143views Data Mining» more  PKDD 2007»
16 years 12 days ago
Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction
Textual patterns have been used effectively to extract information from large text collections. However they rely heavily on textual redundancy in the sense that facts have to be m...
Sebastian Blohm, Philipp Cimiano
CIKM
2007
Springer
16 years 13 days ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera
WWW
2007
ACM
16 years 7 months ago
Just the right amount: extracting modules from ontologies
The ability to extract meaningful fragments from an ontology is key for ontology re-use. We propose a definition of a module that guarantees to completely capture the meaning of a...
Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazako...