Matches in ScholarlyData for { ?s ?p DBpedia contains millions of untyped entities, either if we consider the native DBpedia ontology, or Yago plus WordNet. Is it possible to automatically classify those entities? Based on previous work on wikilink invariances, we wondered if wikilinks convey a knowledge rich enough for their classification.In this paper we give three contributions. Concerning the DBpedia link structure, we describe some measurements and notice both problems (e.g. the bias that could be induced by the incomplete ontological coverage of the DBpedia ontology), and potentials existing in current type coverage. Concerning classification, we present two techniques that exploit wikilinks, one based on induction from machine learning techniques, and the other on abduction. Finally, we discuss the limited results of classification, which confirmed our fears expressed in the description of general figures from the measurement. We also suggest some new possible approaches to entity classification that could be taken, based on more solid grounds.. }
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- 30 abstract "DBpedia contains millions of untyped entities, either if we consider the native DBpedia ontology, or Yago plus WordNet. Is it possible to automatically classify those entities? Based on previous work on wikilink invariances, we wondered if wikilinks convey a knowledge rich enough for their classification.In this paper we give three contributions. Concerning the DBpedia link structure, we describe some measurements and notice both problems (e.g. the bias that could be induced by the incomplete ontological coverage of the DBpedia ontology), and potentials existing in current type coverage. Concerning classification, we present two techniques that exploit wikilinks, one based on induction from machine learning techniques, and the other on abduction. Finally, we discuss the limited results of classification, which confirmed our fears expressed in the description of general figures from the measurement. We also suggest some new possible approaches to entity classification that could be taken, based on more solid grounds.".