Ontology Learning from Incomplete Semantic Web Data by BelNet

Man Zhu, Zhiqiang Gao, Jeff Z. Pan, Yuting Zhao, Ying Xu, Zhibin Quan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Recent years have seen a dramatic growth of semantic web on the data level, but unfortunately not on the schema level, which contains mostly concept hierarchies. Theshortage of schemas makes the semantic web data difficult to be used in many semantic web applications, so schemas learningfrom semantic web data becomes an increasingly pressing issue. In this paper we propose a novel schemas learning approach -BelNet, which combines description logics (DLs) with Bayesian networks. In this way BelNet is capable to understand andcapture the semantics of the data on the one hand, and tohandle incompleteness during the learning procedure on theother hand. The main contributions of this work are: (i)we introduce the architecture of BelNet, and correspondinglypropose the ontology learning techniques in it, (ii) we compare the experimental results of our approach with the state-of-the-art ontology learning approaches, and provide discussions from different aspects.

Original languageEnglish
Title of host publication2013 IEEE 25th International Conference on Tools with Artificial Intelligence
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages761-768
Number of pages8
ISBN (Electronic)9781479929726, 9781479929719
DOIs
Publication statusPublished - 2013
Event25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013 - Washington, DC, United States
Duration: 4 Nov 20136 Nov 2013

Publication series

Name
ISSN (Print)1082-3409
ISSN (Electronic)2375-0197

Conference

Conference25th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2013
CountryUnited States
CityWashington, DC
Period4/11/136/11/13

Keywords

  • Ontology learning
  • probabilistic graphical model
  • Semantic web

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Science Applications

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  • Cite this

    Zhu, M., Gao, Z., Pan, J. Z., Zhao, Y., Xu, Y., & Quan, Z. (2013). Ontology Learning from Incomplete Semantic Web Data by BelNet. In 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (pp. 761-768). [6735328] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICTAI.2013.117