Discovering Conceptual Relations from Text

By Alexander Maedche, Steffen Staab. European Conference on Artificial Intelligence, 2000

426 citations recorded by the source corpus.

How researchers see this paper

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Semantic Wikipedia (2006, background): “Semantic Wikipedia also could be queried in order to populate learned ontologies quickly [14] (one could, for example, retrieve all soccer players to populate a soccer ontology).”
Ontologies: How can They be Built? (2004, unknown): “The first steps have been reported (Aussenac-Gilles et al. 2000; Kietz et al. 2000; Maedche and Staab 2000).”
Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis (2005, methodology): “In earlier work we used collocation statistics to learn relations between terms using a modi-ﬁcation of the association rules extraction algorithm (Maedche & Staab, 2000).”
Ontology Learning from Text: An Overview (2005, methodology): “Relation extraction through text mining for ontology development was introduced in work on association rules in [29].”
Text2Onto (2005, unknown): “In particular, it implements diverse relevance measures for term extraction, different algorithms for taxonomy construction as well as techniques for learning relations between concepts [16].”