Fria: Fast and robust instance alignment

Sanghoon Lee, Jongwuk Lee, Seung Won Hwang

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

1 Citation (Scopus)

Abstract

This paper proposes Fria, a fast and robust instance alignment framework across two independently built knowledge bases (KBs). Our objective is two-fold: (1) to design an effective instance similarity measure and (2) to build a fast and robust alignment framework. Specifically, Fria consists of two-phases. Fria first achieves high-precision alignment for seed matches which have strong evidence for aligning. To obtain high-recall alignment, Fria then divides non-matched instances according to the types identified from seeds, and gives additional chances to the same-typed instances to be matched. Experimental results show that Fria is fast and robust, by achieving comparable accuracy to state-of-the-arts and a 10-times speed up.

Original languageEnglish
Title of host publicationWWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
Pages175-176
Number of pages2
Publication statusPublished - 2013 Dec 1
Event22nd International Conference on World Wide Web, WWW 2013 - Rio de Janeiro, Brazil
Duration: 2013 May 132013 May 17

Publication series

NameWWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

Other

Other22nd International Conference on World Wide Web, WWW 2013
CountryBrazil
CityRio de Janeiro
Period13/5/1313/5/17

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Lee, S., Lee, J., & Hwang, S. W. (2013). Fria: Fast and robust instance alignment. In WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web (pp. 175-176). (WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web).