Quantifying Ontology Fitness in OntoElect Using Saturation- and Vote-Based Metrics-Reference-Cited by-同舟云学术

Quantifying Ontology Fitness in OntoElect Using Saturation- and Vote-Based Metrics

Published:2013 Issue: Volume: Page:136-162
ISSN:1865-0929
Container-title:Information and Communication Technologies in Education, Research, and Industrial Applications
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Author:

Tatarintseva Olga,Ermolayev Vadim,Keller Brita,Matzke Wolf-Ekkehard

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-03998-5_8

Reference27 articles.

1. Tatarintseva, O., Ermolayev, V., Fensel, A.: Is Your Ontology a Burden or a Gem? – Towards Xtreme Ontology Engineering. In: Ermolayev, V., et al. (eds.) ICTERI 2011, vol. 716, pp. 65–81. CEUR-WS.org (2011)

2. Tatarintseva, O., Borue, Y., Ermolayev, V.: OntoElect Approach for Iterative Ontology Refinement: a Case Study with ICTERI Scope Ontology. In: Ermolayev, V., et al. (eds.) ICTERI 2012, vol. 848, p. 244. CEUR-WS.org (2011)

3. Tatarintseva, O., Ermolayev, V.: Refining an Ontology by Learning Stakeholder Votes from their Texts. In: Ermolayev, V., et al. (eds.) ICTERI 2013, vol. 1000, pp. 64–78. CEUR-WS (2013)

4. LNBIP;O. Tatarintseva,2013

5. Gupta, M., Li, R., Yin, Z., Han, J.: Survey on Social Tagging Techniques. SIGKDD Explorations 12(1), 58–72 (2010)

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