Document (#36734)

Author

Wong, W.
Liu, W.
Bennamoun, M.

Title

Ontology learning from text : a look back and into the future

Source

http://publication.wilsonwong.me/paper/233282242.pdf

Year

2010

Abstract

Ontologies are often viewed as the answer to the need for inter-operable semantics in modern information systems. The explosion of textual information on the "Read/Write" Web coupled with the increasing demand for ontologies to power the Semantic Web have made (semi-)automatic ontology learning from text a very promising research area. This together with the advanced state in related areas such as natural language processing have fuelled research into ontology learning over the past decade. This survey looks at how far we have come since the turn of the millennium, and discusses the remaining challenges that will define the research directions in this area in the near future.

Content

Pre-publication version für: ACM Computing Surveys, Vol. X, No. X, Article X, Publication date: X 2011.

Theme

Wissensrepräsentation
Computerlinguistik

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