Advertisement

The Language Application Grid

  • Nancy IdeEmail author
  • James Pustejovsky
  • Christopher Cieri
  • Eric Nyberg
  • Denise DiPersio
  • Chunqi Shi
  • Keith Suderman
  • Marc Verhagen
  • Di Wang
  • Jonathan Wright
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9442)

Abstract

The Language Application (LAPPS) Grid project is establishing a framework that enables language service discovery, composition, and reuse and promotes sustainability, manageability, usability, and interoperability of natural language Processing (NLP) components. It is based on the service-oriented architecture (SOA), a more recent, web-oriented version of the “pipeline” architecture that has long been used in NLP for sequencing loosely-coupled linguistic analyses. The LAPPS Grid provides access to basic NLP processing tools and resources and enables pipelining such tools to create custom NLP applications, as well as composite services such as question answering and machine translation together with language resources such as mono- and multi-lingual corpora and lexicons that support NLP. The transformative aspect of the LAPPS Grid is that it orchestrates access to and deployment of language resources and processing functions available from servers around the globe and enables users to add their own language resources, services, and even service grids to satisfy their particular needs.

Keywords

NLP frameworks Web services Service grids Open advancement Resource licensing 

Notes

Acknowledgements

This work was supported by National Science Foundation grants NSF-ACI 1147944 and NSF-ACI 1147912.

References

  1. 1.
    Calzolari, N., Baroni, P., Bel, N., Budin, G., Choukri, K., Goggi, S., Mariani, J., Monachini, M., Odijk, J., Piperidis, S., Quochi, V., Soria, C., Toral, A. (eds.) Proceedings of The European Language Resources and Technologies Forum: Shaping the Future of the Multilingual Digital Europe. ILC-CNR (2009)Google Scholar
  2. 2.
    Cassidy, S., Estival, D., Jones, T., Burnham, D., Burghold, J.: The alveo virtual laboratory: a web based repository API. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014). European Language Resources Association (ELRA), Reykjavik, May 2014Google Scholar
  3. 3.
    Ferrucci, D., Nyberg, E., Allan, J., Barker, K., Brown, E., Chu-Carroll, J., Ciccolo, A., Duboue, P., Fan, J., Gondek, D., Hovy, E., Katz, B., Lally, A., McCord, M., Morarescu, P., Murdock, B., Porter, B., Prager, J., Strzalkowski, T., Welty, C., Zadrozny, W.: Towards the open advancement of question answering systems. Technical report, IBM Research, Armonk (2009)Google Scholar
  4. 4.
    Ferrucci, D.A., Brown, E.W., Chu-Carroll, J., Fan, J., Gondek, D., Kalyanpur, A., Lally, A., Murdock, J.W., Nyberg, E., Prager, J.M., Schlaefer, N., Welty, C.A.: Building Watson: an overview of the DeepQA project. AI Mag. 31(3), 59–79 (2010)Google Scholar
  5. 5.
    Fokkens, A., van Erp, M., Postma, M., Pedersen, T., Vossen, P., Freire, N.: Offspring from reproduction problems: what replication failure teaches us. In: Proceedings of the Conference of The Association for Computational Linguistics, pp. 1691–1701. The Association for Computational Linguistics (2013)Google Scholar
  6. 6.
    Garduno, E., Yang, Z., Maiberg, A., McCormack, C., Fang, Y., Nyberg, E.: CSE Framework: a UIMA-based distributed system for configuration space exploration unstructured information management architecture. In: Klgl, P., de Castilho, R.E., Tomanek, K. (eds.) UIMA@GSCL, pp. 14–17 (2013). Proceedings of the CEUR Workshop, CEUR-WS.org
  7. 7.
    Giardine, B., Riemer, C., Hardison, R.C., Burhans, R., Elnitski, L., Shah, P., Zhang, Y., Blankenberg, D., Albert, I., Taylor, J., Miller, W., Kent, W.J., Nekrutenko, A.: Galaxy: a platform for interactive large-scale genome analysis. Genome Res. 15(10), 1451–55 (2005)CrossRefGoogle Scholar
  8. 8.
    Goecks, J., Coraor, N., Team, T.G., Nekrutenko, A., Taylor, J.: NGS analyses by visualization with trackster. Nat. Biotechnol. 30(11), 1036–1039 (2012)CrossRefGoogle Scholar
  9. 9.
    Goecks, J., Nekrutenko, A., Taylor, J.: Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol. 11, R86 (2010)CrossRefGoogle Scholar
  10. 10.
    Hayashi, Y., Declerck, T., Calzolari, N., Monachini, M., Soria, C., Buitelaar, P.: Language service ontology. In: Ishida, T. (ed.) The Language Grid - Service-Oriented Collective Intelligence for Language Resource Interoperability, pp. 85–100. Springer, Heidelberg (2011)Google Scholar
  11. 11.
    Ide, N., Pustejovsky, J.: What does interoperability mean, anyway? toward an operational definition of interoperability. In: Proceedings of the Second International Conference on Global Interoperability for Language Resources (ICGL 2010), Hong Kong, China (2010)Google Scholar
  12. 12.
    Ide, N., Pustejovsky, J., Calzolari, N., Soria, C.: The SILT and FlaReNet international collaboration for interoperability. In: Proceedings of the Third Linguistic Annotation Workshop, ACL-IJCNLP, August 2009Google Scholar
  13. 13.
    Ide, N., Suderman, K.: The linguistic annotation framework: a standard for annotation interchange and merging. Lang. Resour. Eval. 48, 395–418 (2014)CrossRefGoogle Scholar
  14. 14.
    Ishida, T., Murakami, Y., Lin, D., Nakaguchi, T., Otani, M.: Open language grid-towards a global language service infrastructure. In: The Third ASE International Conference on Social Informatics (SocialInformatics 2014). Cambridge, Massachusetts, USA (2014)Google Scholar
  15. 15.
    ISO-24612: Language Resource Management - Linguistic Annotation Framework. ISO 24612 (2012)Google Scholar
  16. 16.
    Patel, A., Yang, Z., Nyberg, E., Mitamura, T.: Building an optimal QA system automatically using configuration space exploration for QA4MRE’13 tasks. In: Proceedings of CLEF 2013 (2013)Google Scholar
  17. 17.
    Pedersen, T.: Empiricism is not a matter of faith. Comput. Linguist. 34(3), 465–470 (2008)CrossRefGoogle Scholar
  18. 18.
    Piperdis, S.: The META-SHARE language resources sharing infrastructure: principles, challenges, solutions. In: Proceedings of the Eighth International Language Resources and Evaluation (LREC12). European Language Resources Association (ELRA), Istanbul (2012)Google Scholar
  19. 19.
    W3C OWL Working Group: OWL 2 Web Ontology Language: Document Overview. W3C Recommendation (2012)Google Scholar
  20. 20.
    W3C SKOS Working Group: SKOS Simple Knowledge Organization System Reference. W3C Recommendation (2009)Google Scholar
  21. 21.
    Windhouwer, M.: RELcat: a Relation Registry for ISOcat data categories. In: Calzolari, N., Choukri, K., Declerck, T., Dogan, M.U., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S. (eds.) LREC 2012, pp. 3661–3664. European Language Resources Association (ELRA), Istanbul (2012)Google Scholar
  22. 22.
    Yang, Z., Garduno, E., Fang, Y., Maiberg, A., McCormack, C., Nyberg, E.: Building optimal information systems automatically: configuration space exploration for biomedical information systems. In: Proceedings of the CIKM 2013 (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Nancy Ide
    • 1
    Email author
  • James Pustejovsky
    • 2
  • Christopher Cieri
    • 3
  • Eric Nyberg
    • 4
  • Denise DiPersio
    • 3
  • Chunqi Shi
    • 2
  • Keith Suderman
    • 1
  • Marc Verhagen
    • 2
  • Di Wang
    • 4
  • Jonathan Wright
    • 3
  1. 1.Vassar CollegePoughkeepsieUSA
  2. 2.Brandeis UniversityWalthamUSA
  3. 3.Linguistic Data ConsortiumPhiladelphiaUSA
  4. 4.Carnegie-Mellon UniversityPittsburghUSA

Personalised recommendations