Modeling UIMA type system using web ontology language - Towards interoperability among UIMA-based NLP tools

Hongfang Liu, Stephen Wu, Cui Tao, Christopher Chute

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

3 Scopus citations

Abstract

With the recent development and adoption of NLP framework architectures, NLP modules/tools developed independently in the research community can be adopted as integrated applications. Development of wrappers and interfaces required to adopt NLP modules/tools, however, still requires huge amount of efforts. In this paper, we focus on one NLP framework architecture, UIMA (Unstructured Information Management Architecture), which defines annotations as types described in a type system and can achieve direct interoperability if a common type system is used. We explore the use of ontology to model UIMA types and argue existing ontology development or reasoning tools can be utilized to understand types (we use types and annotations interchangeably) from existing NLP systems developed under UIMA, define equivalent annotations in different NLP systems, and apply the practice in the ontology community to draw agreements on the definition of common NLP types, thereby achieving better interoperability among NLP modules/tools.

Original languageEnglish (US)
Title of host publicationMIX-HS'12 - Proceedings of the 2nd International Workshop on Managing Interoperability and Complexity in Health Systems, Co-located with CIKM 2012
Pages31-36
Number of pages6
DOIs
StatePublished - Dec 7 2012
Event2nd International Workshop on Managing Interoperability and Complexity in Health Systems, MIX-HS 2012, Collocated with the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States
Duration: Oct 29 2012Oct 29 2012

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other2nd International Workshop on Managing Interoperability and Complexity in Health Systems, MIX-HS 2012, Collocated with the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012
CountryUnited States
CityMaui, HI
Period10/29/1210/29/12

Keywords

  • Interoperability
  • NLP
  • OWL
  • UIMA

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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    Liu, H., Wu, S., Tao, C., & Chute, C. (2012). Modeling UIMA type system using web ontology language - Towards interoperability among UIMA-based NLP tools. In MIX-HS'12 - Proceedings of the 2nd International Workshop on Managing Interoperability and Complexity in Health Systems, Co-located with CIKM 2012 (pp. 31-36). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/2389672.2389679