How Google can identify and interpret entities from unstructured content?
The podcast examines how Google extracts information from unstructured data sources and integrates it into its Knowledge Graph. He highlights the challenges of ensuring completeness, validity and timeliness of the data, especially when dealing with tail entities. Various methods such as named entity recognition, event extraction and the use of machine learning are explained. Finally, the Knowledge Vault is presented as an advanced approach to knowledge fusion that combines both structured and unstructured data sources. The author emphasizes the importance of Natural Language Processing (NLP), but believes that Google is still at the beginning of fully utilizing unstructured information in the Knowledge Graph. https://www.kopp-online-marketing.com/entities-from-unstructured-content