@inproceedings{bittner-etal-2026-developing,
    title = "Developing Literature Annotation Guidelines for Representing Normal Physiology in Biolink-Compatible Knowledge Graphs",
    author = "Bittner, Madeline  and
      Rogers, Willie  and
      Demner-Fushman, Dina  and
      Scheuermann, Richard  and
      Diller, Matthew",
    editor = "Demner-Fushman, Dina  and
      Ananiadou, Sophia  and
      Roberts, Kirk  and
      Tsujii, Junichi",
    booktitle = "{B}io{NLP} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.bionlp-1.59/",
    pages = "718--728",
    ISBN = "979-8-89176-434-7",
    abstract = "Much of our knowledge about anatomy and physiology is found in text format in research papers and medical textbooks. For an information system to have access to this knowledge, extracting and translating it into a computable format that can be stored in an ontology or knowledge graph is advantageous. Unfortunately, existing text mining corpora, which are needed to train and evaluate data mining models, are old and consist almost entirely of research papers, which rarely contain complete information needed to capture complex normal physiological processes and, subsequently, understand the pathophysiology of a disease. As a first step to filling in this gap, we have developed a guide for annotating medical textbooks for physiological events and entities involved in these events. In addition to providing our guidelines and describing the guideline development process, we analyze the coverage of normal physiology in existing ontologies."
}