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WebOfData

Explore semantic technnologies while querying Knowledge Graphs

Creating the dataset:

Datset chosen is the Goodreads dataset found on Kaggle: Link: https://www.kaggle.com/datasets/jealousleopard/goodreadsbooks

About the dataset: This data was entirely scraped via the Goodreads API.

Inspiration: The reason behind choosing this dataset is pretty straightforward, as I'm an avid reader and a book-lover. So exploring the book dataset irrespective of the language and publication, and use it to determine what what book to be reading next.

Aim: The goal is to generate a dataset for the project, from the link above. The criteria is to have 100 rows randomly chosen from the main dataset and then to study the data to formulate a question and leverage the Wikidata kniowledge base to answer the formulated question.

Query: "What genres of books have historically generated the highest reader engagement, and in what years were these highly engaging books predominantly published?"

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Explore semantic technnologies while querying Knowledge Graphs

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