@inproceedings{loughnane-etal-2017-linked,
    title = "Linked Data for Language-Learning Applications",
    author = "Loughnane, Robyn  and
      McCurdy, Kate  and
      Kolb, Peter  and
      Selent, Stefan",
    editor = "Tetreault, Joel  and
      Burstein, Jill  and
      Leacock, Claudia  and
      Yannakoudakis, Helen",
    booktitle = "Proceedings of the 12th Workshop on Innovative Use of {NLP} for Building Educational Applications",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W17-5005/",
    doi = "10.18653/v1/W17-5005",
    pages = "44--51",
    abstract = "The use of linked data within language-learning applications is an open research question. A research prototype is presented that applies linked-data principles to store linguistic annotation generated from language-learning content using a variety of NLP tools. The result is a database that links learning content, linguistic annotation and open-source resources, on top of which a diverse range of tools for language-learning applications can be built."
}