Presentation 2016-03-03
Proposal and Performance Evaluation of Multiple Label Propagation Algorithm for Linked Open Data Generation
Toshitaka Maki, Toshihiko Wakahara, Akihiro Yamaguchi, Yu Ichifuji, Noboru Sonehara,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, Linked Open Data (LOD) has been attracting attention in the world. It has been increasing year after year in Japan. However, there is created LOD that became independent by the individual organization. Herewith, many of the LOD is not existed enough links. In addition, there is LOD using own schema like “title”, “review”. For this reason, the accessibility and the usability of data is declining. In this study, we propose a new Multiple Label Propagation algorithm to bring out the attraction of the data by semi-supervised for linking LOD. This algorithm predicts the semantic label of the individual data using the assumptions of “Adjacent node belongs to the same class”. Thereby it is intended to extend the link between data. Also, it can correspond to the multi-label to considerate of the ambiguities of data. The results of evaluation experiments, we confirmed that the proposed method could get the label predicated value representing the semantic distance. In addition, we confirmed that the proposed method is much fast processing time than the conventional method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Linked Open Data / Multiple Label Propagation / Machine Learning / Graph Mining / Link Prediction
Paper # LOIS2015-72
Date of Issue 2016-02-25 (LOIS)

Conference Information
Committee LOIS
Conference Date 2016/3/3(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Central Community Center, Miyakojima-City
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Manabu Okamoto(NTT)
Vice Chair Hiroyuki Nishi(Sojo Univ.)
Secretary Hiroyuki Nishi(Tsuda College)
Assistant Yu Ichifuji(NII)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal and Performance Evaluation of Multiple Label Propagation Algorithm for Linked Open Data Generation
Sub Title (in English)
Keyword(1) Linked Open Data
Keyword(2) Multiple Label Propagation
Keyword(3) Machine Learning
Keyword(4) Graph Mining
Keyword(5) Link Prediction
1st Author's Name Toshitaka Maki
1st Author's Affiliation Fukuoka Institute of Technology(FIT)
2nd Author's Name Toshihiko Wakahara
2nd Author's Affiliation Fukuoka Institute of Technology(FIT)
3rd Author's Name Akihiro Yamaguchi
3rd Author's Affiliation Fukuoka Institute of Technology(FIT)
4th Author's Name Yu Ichifuji
4th Author's Affiliation National Institute of Informatics(NII)
5th Author's Name Noboru Sonehara
5th Author's Affiliation National Institute of Informatics(NII)
Date 2016-03-03
Paper # LOIS2015-72
Volume (vol) vol.115
Number (no) LOIS-486
Page pp.pp.51-56(LOIS),
#Pages 6
Date of Issue 2016-02-25 (LOIS)