NOUS: Construction and Querying of Dynamic Knowledge Graphs

dc.contributor.authorChoudhury, Sutanay
dc.contributor.authorAgarwal, Khushbu
dc.contributor.authorPurohit, Sumit
dc.contributor.authorZhang, Baichuan
dc.contributor.authorPirrung, Meg
dc.contributor.authorSmith, Will
dc.contributor.authorThomas, Mathew
dc.contributor.departmentComputer and Information Science, School of Scienceen_US
dc.date.accessioned2018-02-02T16:05:47Z
dc.date.available2018-02-02T16:05:47Z
dc.date.issued2017-04
dc.description.abstractThe 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-toend 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.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationChoudhury, S., Agarwal, K., Purohit, S., Zhang, B., Pirrung, M., Smith, W., & Thomas, M. (2017). NOUS: Construction and Querying of Dynamic Knowledge Graphs. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE) (pp. 1563–1565). https://doi.org/10.1109/ICDE.2017.228en_US
dc.identifier.urihttps://hdl.handle.net/1805/15141
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/ICDE.2017.228en_US
dc.relation.journal2017 IEEE 33rd International Conference on Data Engineeringen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectdata miningen_US
dc.subjectknowledge engineeringen_US
dc.subjectheuristic algorithmsen_US
dc.titleNOUS: Construction and Querying of Dynamic Knowledge Graphsen_US
dc.typeConference proceedingsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Choudhury_2017_NOUS.pdf
Size:
2.13 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.99 KB
Format:
Item-specific license agreed upon to submission
Description: