Interoperability between Service Composition and Processing Pipeline: Case Study on the Language Grid and UIMA

Mai Xuan Trang, Yohei Murakami, Donghui Lin, Toru Ishida

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

1 Citation (Scopus)

Abstract

Integrating language resources is a critical part in building natural language processing applications. Processing pipeline and service composition are two approaches for sharing and combining language resources. However, each approach has its drawback. While the former lacks consideration about property rights of language resources, the later is not efficient to process and transfer huge amount of data through web services. In this paper we address the issue of interoperability between two approaches to mutually complement their disadvantages. We show an integration of service composition and processing pipeline, and how the integration can be used to help developers seamlessly build NLP applications. We then present a case study that adopts the integration to integrate two representative frameworks: the Language Grid and UIMA.

Original languageEnglish
Title of host publication6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference
EditorsRuslan Mitkov, Jong C. Park
PublisherAsian Federation of Natural Language Processing
Pages1052-1056
Number of pages5
ISBN (Electronic)9784990734800
Publication statusPublished - 2013
Externally publishedYes
Event6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Nagoya, Japan
Duration: 2013 Oct 14 → …

Publication series

Name6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference

Conference

Conference6th International Joint Conference on Natural Language Processing, IJCNLP 2013
Country/TerritoryJapan
CityNagoya
Period13/10/14 → …

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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