Our goal is to represent a scientific article's narrative as a knowledge base, associating it with knowledge from cited papers, authors, theories, etc. We reuse existing ontologies, but also define our own for the specific representation we propose.
We have chosen a scientific article to be analyzed. It is "Woodpecker pecking: how woodpeckers avoid brain injury" by L.J. Gibson.
We have analyzed the article from different points of view: which are the metadata, which are the sections the article is made up of, etc.
We have reused existing ontologies and created a new one to represent the knowledge extracted from the article.
We have written a code in Turtle and designed a Knowledge Graph to represent the knowledge we have extracted.
Explaining the project step by step is so important for us. You can find out everything of our work below.
We are 4 students of the international master's degree Digital Humanities and Digital Knowledge of University of Bologna. We have designed together SAKE project for "Knowledge Representation and Extraction" examination.
Waiting for you at Digital Humanities and Digital Knoledge - Second cycle degree/Two years Master.
Via Zamboni, 34
dhdk@unibo.it
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