An Approach for Combining Ontology Learning and Semantic Tagging in the Ontology Development Process: eGovernment Use Case View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2007-01-01

AUTHORS

Ljiljana Stojanovic , Nenad Stojanovic , Jun Ma

ABSTRACT

In this paper we present a novel method for ontology development that combines ontology learning and social-tagging process. The approach is based on the idea of using tagging process as a method for refinement (pruning) of the ontology that has been learned automatically from available knowledge sources. In the nutshell of the approach is a model for the conceptual tag refinement, which basically searches for terms that are conceptually related to the tags that are assigned to an information source. In that way the meaning of the tags can be disambiguated, which support better usage of the tagging process for the ontology pruning. We have developed a software tool, an annotation framework, which realizes this idea. We present results from the first evaluation studies regarding the application of this approach in the eGovernment domain. More... »

PAGES

249-260

Book

TITLE

Web Information Systems Engineering – WISE 2007

ISBN

978-3-540-76992-7
978-3-540-76993-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-76993-4_21

DOI

http://dx.doi.org/10.1007/978-3-540-76993-4_21

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027691164


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