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» Ontologies Improve Text Document Clustering
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DKE
2007
132views more  DKE 2007»
13 years 5 months ago
Automated ontology construction for unstructured text documents
Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extra...
Chang-Shing Lee, Yuan-Fang Kao, Yau-Hwang Kuo, Mei...
ECAI
2008
Springer
13 years 7 months ago
Multilingual Evidence Improves Clustering-based Taxonomy Extraction
We present a system for taxonomy extraction, aimed at providing a taxonomic backbone in an ontology learning environment. We follow previous research in using hierarchical clusteri...
Hans Hjelm, Paul Buitelaar
APWEB
2009
Springer
13 years 9 months ago
Ontology Evaluation through Text Classification
We present a new method to evaluate a search ontology, which relies on mapping ontology instances to textual documents. On the basis of this mapping, we evaluate the adequacy of on...
Yael Dahan Netzer, David Gabay, Meni Adler, Yoav G...
ICA
2007
Springer
13 years 9 months ago
Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses
Deriving a thematically meaningful partition of an unlabeled document corpus is a challenging task. In this context, the use of document representations based on latent thematic ge...
Xavier Sevillano, Germán Cobo, Francesc Al&...
ECIR
2010
Springer
13 years 6 months ago
Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...
Odysseas Papapetrou, Wolf Siberski, Norbert Fuhr