@hotho

Ontology Learning from Text: A Look Back and into the Future

, , and . ACM Comput. Surv. 44 (4): 20:1--20:36 (September 2012)

Abstract

Ontologies are often viewed as the answer to the need for interoperable 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 fueled 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.

Links and resources

URL:
BibTeX key:
Wong:2012:OLT:2333112.2333115
search on:

Comments and Reviews  
(0)

There is no review or comment yet. You can write one!

Tags


Cite this publication