NOUS: Construction and Querying of Dynamic Knowledge Graphs

Conference · Wed Apr 19 00:00:00 EDT 2017

DOI:https://doi.org/10.1109/ICDE.2017.228· OSTI ID:1440652

Choudhury, Sutanay; Agarwal, Khushbu; Purohit, Sumit; Zhang, Baichuan; Pirrung, Megan A.; Smith, William P.; Thomas, Mathew

The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a trans- formative 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 knowl- edge 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.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1440652
• Report Number(s): PNNL-SA-123812
• Resource Relation: Conference: IEEE 33rd International Conference on Data Engineering (ICDE 2017), April 19-22, 2017, San Diego, California, 1563-1565
• Country of Publication: United States
• Language: English