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Chainable and Extendable Knowledge Integration Web Services

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Knowledge Graphs and Language Technology (ISWC 2016)

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Abstract

This paper introduces the current state of the FREME framework. The paper puts FREME into the context of linguistic linked data and related approaches of multilingual and semantic processing. In addition, we focus on two specific aspects of FREME: the FREME NER e-Service, and chaining of FREME e-Services. We believe that the flexible and distributed combination of e-Services bears a potential for their mutual improvement. The FREME framework is an open source software available for free download (https://github.com/freme-project/).

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Notes

  1. 1.

    See http://www.freme-project.eu.

  2. 2.

    See http://linguistic-lod.org/llod-cloud for a latest version of the LLOD cloud.

  3. 3.

    See https://www.w3.org/TR/its20/.

  4. 4.

    See https://www.w3.org/2016/05/ontolex/.

  5. 5.

    See http://docs.oasis-open.org/xliff/xliff-core/v2.0/xliff-core-v2.0.html.

  6. 6.

    http://weblicht.sfs.uni-tuebingen.de/.

  7. 7.

    http://incubator.apache.org/uima.

  8. 8.

    http://www.lappsgrid.org/.

  9. 9.

    http://www.meta-share.eu/.

  10. 10.

    See http://digitale-kuratierung.de/ for details on the project.

  11. 11.

    Currently, FREME classifies the entities with four types: PER, ORG, LOC and MISC for anything else.

  12. 12.

    http://nlp.stanford.edu/software/CRF-NER.shtml.

  13. 13.

    http://lucene.apache.org/solr/.

  14. 14.

    http://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/.

  15. 15.

    http://babelnet.org/.

  16. 16.

    https://www.w3.org/TR/rdf-schema/.

  17. 17.

    https://www.w3.org/TR/skos-reference/.

  18. 18.

    See the list of domains and related entity types at https://github.com/freme-project/freme-ner/blob/master/src/main/resources/domains.csv.

  19. 19.

    http://aksw.org/Projects/GERBIL.html.

  20. 20.

    More information on the datasets is provided by [10].

  21. 21.

    See http://api.freme-project.eu/current/e-link/templates/3 to access the definition of the template.

References

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Acknowledgement

This work was supported via the FREME project funded from the EU Horizon 2020 research and innovation programme under grant agreement No 644771.

Author information

Authors and Affiliations

  1. Language Technology Lab, DFKI GmbH, Berlin, Germany

    Felix Sasaki & Jan Nehring

  2. Knowledge Integration and Language Technologies (KILT/AKSW), InfAI, Leipzig University, Leipzig, Germany

    Milan Dojchinovski

  3. Web Intelligence Research Group, FIT, Czech Technical University in Prague, Prague, Czech Republic

    Milan Dojchinovski

Authors
  1. Felix Sasaki
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  2. Milan Dojchinovski
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  3. Jan Nehring
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Corresponding author

Correspondence to Felix Sasaki .

Editor information

Editors and Affiliations

  1. Digital Humanities Group, KNAW Humanities Cluster, Amsterdam, The Netherlands

    Marieke van Erp

  2. University of Leipzig, Leipzig, Germany

    Sebastian Hellmann

  3. National University of Ireland, Galway, Ireland

    John P. McCrae

  4. Institut für Informatik, Goethe University Frankfurt, Frankfurt, Hessen, Germany

    Christian Chiarcos

  5. Division of Web Science and Technology, Department of Computer Science, KAIST, Daejeon, Korea (Republic of)

    Key-Sun Choi

  6. Universidad Politécnica de Madrid, Madrid, Spain

    Jorge Gracia

  7. Waseda University, Tokyo, Japan

    Yoshihiko Hayashi

  8. Ontolonomy LLC, Yokohama, Japan

    Seiji Koide

  9. Apple San Francisco, San Francisco, California, USA

    Pablo Mendes

  10. Inst für Info & Wirtschaftsinfo, Universität Mannheim, Mannheim, Baden-Württemberg, Germany

    Heiko Paulheim

  11. National Institute of Informatics, Tokyo, Japan

    Hideaki Takeda

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Sasaki, F., Dojchinovski, M., Nehring, J. (2017). Chainable and Extendable Knowledge Integration Web Services. In: van Erp, M., et al. Knowledge Graphs and Language Technology. ISWC 2016. Lecture Notes in Computer Science(), vol 10579. Springer, Cham. https://doi.org/10.1007/978-3-319-68723-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-68723-0_8

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