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A Knowledge Graph is a data layer used for answering complex queries across data silos. It represents and organizes contextualized data in the form of graphs. Google's Knowledge Graph presents information about people, places, or things within knowledge panels. The Knowledge Graph API Search API is free for developers up to a quota of 100,000 read calls per day. A knowledge graph in NLP stores data resulting from an information extraction task in triples, consisting of a subject, a predicate, and an object. Knowledge graphs create supreme connectedness between data silos and are a flexible, reusable data layer.
The similarity score is a tool used to compare the text in a document with sources in a comparison database to identify potential problem areas, such as plagiarism. A good score to aim for is between 15-20%, but the breakdown of the percentage is also important to consider. A score above 25% could indicate plagiarism or the use of direct quotes with a long bibliography. However, even a score of 1% could potentially be considered plagiarized. The color of the similarity score is based on the amount of matching text in a document. Sabermetrics and basketball analytics also use similarity scores to compare players to others. Turnitin is a widely used tool to calculate similarity scores for academic purposes.
Pretrained models in deep learning are models already created and trained by someone else to solve similar problems, which can be used as a starting point for building new models. NVIDIA has a collection of over 600 highly accurate pretrained AI models. Pretrained models work by loading and training added layers. ModelZoo and Hugging Face are popular platforms for finding pretrained models for deep learning tasks. Using a pretrained model is significantly more accurate than building a custom-made model from scratch, making it a good starting point for image recognition tasks. Transfer learning is a machine learning technique that involves using a pretrained neural network to solve a similar problem to the one it was originally trained for.
