Ontology Learning and Population from Text Algorithms, Evaluation and Applications /

Standard formalisms for knowledge representation such as RDFS or OWL have been recently developed by the semantic web community and are now in place. However, the crucial question still remains: how will we acquire all the knowledge available in people's heads to feed our machines? Natural lang...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Cimiano, Philipp (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2006.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Preliminaries
  • Ontologies
  • Ontology Learning from Text
  • Basics
  • Datasets
  • Methods and Applications
  • Concept Hierarchy Induction
  • Learning Attributes and Relations
  • Population
  • Applications
  • Conclusion
  • Contribution and Outlook
  • Concluding Remarks.