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Building, Analyzing & Querying Knowledge Graphs using Graphster: A Spark based Open-Source Library

Building, Analyzing, and Querying Biomedical Knowledge Graphs using #Graphster: A Spark based Open-Source Library Knowledge Graphs provide healthcare and life-sciences companies with a connected and meaningful view into their data. However currently, this involves a complex, multi-step process of data collection, mapping, inference, NLP and loading into a Graph Database before a knowledge graph can truly be made operational. In this talk, We will be introducing a unique open source library: Graphster that makes the process of building, analyzing and querying knowledge graphs simple and seamless all using Apache Spark. We’ll show you how to ingest clinical trial data, infer relationships from text, reveal the semantic content by fusing it with the MeSH ontology and then analyze it at scale using SPARQL queries all using the power of Spark-NLP and Graphster. 👉 http://www.graphster.org/ John Snow Labs NLP Summit 2022 sessions. Presented by: Alexander Thomas, Principal Data Scientist at Wisecube.AI Vishnu Vettrivel, CTO and Founder at Wisecube.AI Connect with us: Website: https://www.wisecube.ai Linkedin:   / wisecube   Twitter:   / wisecubeai   Facebook:   / wisecubeai   GitHub: https://github.com/wisecubeai #KnowledgeGraphs #BiomedicalResearch #GraphAI #BiomedicalData #LifeSciences #DrugDiscovery #DrugDevelopment #DataVisualization #MedicalAI #DataScience #DataAnalysis #DataAnalytics #SPARQL #DataScience #Tutorial #DataEngineering #NLP #MachineLearning #DeepLearning #Bioinformatics