The Evaluation of Ontology Matching versus Text
Andreea-Diana Mihis ()
Informatica Economica, 2010, vol. 14, issue 4, 147-155
Abstract:
Lately, the ontologies have become more and more complex, and they are used in different domains. Some of the ontologies are domain independent; some are specific to a domain. In the case of text processing and information retrieval, it is important to identify the corresponding ontology to a specific text. If the ontology is of a great scale, only a part of it may be reflected in the natural language text. This article presents metrics which evaluate the degree in which an ontology matches a natural language text, from word counting metrics to text entailment based metrics.
Keywords: Ontology; Natural Language Processing; Metric (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://revistaie.ase.ro/content/56/14%20-%20Mihis.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:14:y:2010:i:4:p:147-155
Access Statistics for this article
Informatica Economica is currently edited by Ion Ivan
More articles in Informatica Economica from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Paul Pocatilu ().