Automatic Ontology Population Task

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An Automatic Ontology Population Task is an ontology population task that is an closed automatic information extraction task.



References

2016

  • http://cacm.acm.org/magazines/2016/9/206254-a-new-look-at-the-semantic-web/fulltext
    • QUOTE: Latent semantics: Obviously, there is a lot of semantics that is already on the Web, albeit mostly in text, or in data that machines cannot readily interpret. To complement formally developed ontologies, we must be able to extract latent, evidence-based models that capture the way that users structure their knowledge implicitly. We need to explore these questions: How much of the semantics can we learn automatically and what is the quality of the resulting knowledge? As ontologies are learned or enhanced automatically, what is the very meaning of "formal ontologies"? How do we develop some notion of approximate correctness? Do similar or different reasoning mechanisms apply to the ontologies that are extracted in this way? How do crowdsourcing approaches allow us to capture semantics that may be less precise but more reflective of the collective wisdom?

2010

2009

2008

2006

2003