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Language Technologies Meet Ontology Acquisition Galia Angelova
 

Summary: Language Technologies Meet Ontology Acquisition
Galia Angelova
Institute for Parallel Processing, Bulgarian Academy of Sciences
25A, Acad. G. Bonchev Str., 1113 Sofia, Bulgaria, galia@lml.bas.bg
Abstract. This paper overviews and analyses the on-going research attempts to
apply language technologies to automatic ontology acquisition. At first glance
there are many successful approaches in this very hot field. However, most of
them aim at the extraction of named entities as well as draft taxonomies and
partonomies. Only few attempts exist for enriching ontologies by applying
word-sense disambiguation. There are principle obstacles to extract
automatically coherent conceptualisations from raw texts: it is impossible to
identify exactly the types and their instances as well as the word meanings
which denote types. It is also impossible to validate a text-based conceptual
model against the real world. Thus we can expect only partial success in the
semi-automatic acquisition in specific (limited) domains, by workbenches
supporting the human knowledge engineer in the final ontological choices.
Keywords: natural language processing, information extraction, automatic
knowledge acquisition from text
1 Introduction
Recent developments in artificial intelligence, knowledge representation, WWW, and

  

Source: Angelova, Galia - Linguistic Modelling Department, Institute for Parallel Processing (Sofia, Bulgaria)

 

Collections: Computer Technologies and Information Sciences