Please submit manuscripts in either of the following two submission systems

    ScholarOne Manuscripts

  • ScholarOne
  • 勤云稿件系统

  • 登录

Search by Issue

  • 2024 Vol.31
  • 2023 Vol.30
  • 2022 Vol.29
  • 2021 Vol.28
  • 2020 Vol.27
  • 2019 Vol.26
  • 2018 Vol.25
  • 2017 Vol.24
  • 2016 vol.23
  • 2015 vol.22
  • 2014 vol.21
  • 2013 vol.20
  • 2012 vol.19
  • 2011 vol.18
  • 2010 vol.17
  • 2009 vol.16
  • No.1
  • No.2

Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

期刊网站二维码
微信公众号二维码
Related citation:QIAN Peng-fei,WangYingLin,ZhangShenSheng.Configurable ontology mapping based on multi-feature[J].Journal of Harbin Institute Of Technology(New Series),2009,16(6):781-788.DOI:10.11916/j.issn.1005-9113.2009.06.009.
【Print】   【HTML】   【PDF download】   View/Add Comment  Download reader   Close
←Previous|Next→ Back Issue    Advanced Search
This paper has been: browsed 865times   downloaded 547times 本文二维码信息
码上扫一扫!
Shared by: Wechat More
Configurable ontology mapping based on multi-feature
Author NameAffiliation
QIAN Peng-fei Dept. of Computer Science and Technology, Shanghai Jiaotong University, Shanghai 200240, China 
WangYingLin Dept. of Computer Science and Technology, Shanghai Jiaotong University, Shanghai 200240, China 
ZhangShenSheng Dept. of Computer Science and Technology, Shanghai Jiaotong University, Shanghai 200240, China 
Abstract:
A configurable ontology mapping approach based on different kinds of concept feature information is introduced in this paper. In this approach, ontology concept feature information is classified as five kinds, which respectively corresponds to five kinds of concept similarity computation methods. Many existing ontology mapping approaches have adopted the multi-feature reasoning, whereas not all feature information can be computed in the real ontology mapping and only fractional feature information needs to be selected in the mapping computation. Consequently a configurable ontology mapping model is introduced, which is composed of CMT model, SMT model and related transformation model. Through the configurable model, users can conveniently select the most suitable features and configure the suitable weights. Simultaneously, a related 3-step ontology mapping approach is also introduced. Associated with the traditional name and instance learner-based ontology mapping approach, this approach is evaluated by an ontology mapping application example.
Key words:  ontology mapping  configurable  concept feature
DOI:10.11916/j.issn.1005-9113.2009.06.009
Clc Number:TP391.41
Fund:

LINKS