Linking, integrating, and translating entities via iterative graph matching

Taesung Lee, Seungwon Hwang

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

1 Citation (Scopus)

Abstract

Entity tasks, such as linking, integration, and translation, are crucial for many search and NLP applications. For this purposed entity graphs have been manually built or automatically harvested. In this paper, we survey existing approaches abstracting these problems into a graph-based iterative matching on a pair of entity graphs.

Original languageEnglish
Title of host publicationTAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages248-255
Number of pages8
ISBN (Electronic)9781509057320
DOIs
Publication statusPublished - 2017 Mar 16
Event2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 - Hsinchu, Taiwan, Province of China
Duration: 2016 Nov 252016 Nov 27

Publication series

NameTAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings

Other

Other2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
CountryTaiwan, Province of China
CityHsinchu
Period16/11/2516/11/27

Fingerprint

Graph Matching
Linking
Graph in graph theory

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization
  • Information Systems

Cite this

Lee, T., & Hwang, S. (2017). Linking, integrating, and translating entities via iterative graph matching. In TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings (pp. 248-255). [7880156] (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2016.7880156
Lee, Taesung ; Hwang, Seungwon. / Linking, integrating, and translating entities via iterative graph matching. TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 248-255 (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings).
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abstract = "Entity tasks, such as linking, integration, and translation, are crucial for many search and NLP applications. For this purposed entity graphs have been manually built or automatically harvested. In this paper, we survey existing approaches abstracting these problems into a graph-based iterative matching on a pair of entity graphs.",
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Lee, T & Hwang, S 2017, Linking, integrating, and translating entities via iterative graph matching. in TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings., 7880156, TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 248-255, 2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016, Hsinchu, Taiwan, Province of China, 16/11/25. https://doi.org/10.1109/TAAI.2016.7880156

Linking, integrating, and translating entities via iterative graph matching. / Lee, Taesung; Hwang, Seungwon.

TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 248-255 7880156 (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings).

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

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M3 - Conference contribution

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BT - TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings

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Lee T, Hwang S. Linking, integrating, and translating entities via iterative graph matching. In TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 248-255. 7880156. (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings). https://doi.org/10.1109/TAAI.2016.7880156