NOUS: Construction and Querying of Dynamic Knowledge Graphs

June 07, 2016 · Entered Twilight · 🏛 IEEE International Conference on Data Engineering

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Authors Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, Will Smith, Mathew Thomas arXiv ID 1606.02314 Category cs.DB: Databases Citations 55 Venue IEEE International Conference on Data Engineering Repository https://github.com/streaming-graphs/NOUS ⭐ 72 Last Checked 1 month ago

Abstract

The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability. Despite their value, automated construction of knowledge graphs remains an expensive technical challenge that is beyond the reach for most enterprises and academic institutions. We propose an end-to-end framework for developing custom knowledge graph driven analytics for arbitrary application domains. The uniqueness of our system lies A) in its combination of curated KGs along with knowledge extracted from unstructured text, B) support for advanced trending and explanatory questions on a dynamic KG, and C) the ability to answer queries where the answer is embedded across multiple data sources.