API Build-data JSON Resources
Theme

Choose how MSRBot.io looks on this device.

Auto (match system) Light mode Dark mode

Preference is stored in this browser only.

SMPTE Meetings and Conferences ( October 2023)
[ACTIVE]

Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Conference Paper
Content Type
Original Research
Volume
2023, No. 10, pp. 15–17
Abstract
As media organizations accumulate diverse data from various sources, the need for effective data integration and information retrieval becomes increasingly critical. Graph databases offer a flexible and efficient platform for integration by leveraging graph-based data models and querying mechanisms. Graph databases can seamlessly integrate disparate data sets regardless of their original format or structure. Knowledge can be added to the graph through the application of semantic meaning to the data. Knowledge graphs can be enhanced with results of Machine Learning algorithms that extract additional information from the underlying data. This paper will demonstrate how knowledge graphs offer unique capabilities for understanding patterns over collections of large data sets.
Publication Date
2023-10-16
DOI
10.5594/M002010
ISBN
Print: 978-1-61482-964-5
Link
https://doi.org/10.5594/M002010
Author(s)
Roger SacilottoAvid Technology
Shailendra MathurAvid Technology
Rob GonsalvesAvid Technology
Keyword(s)
Knowledge Graphs, Data Integration, Semantic Understanding, Machine Learning
Copyright
© 2023 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

Source Data (JSON)

Full registry record with provenance metadata. Open directly: /api/doc/10.5594-M002010.json

Reference Tree

Explore all references and references to this document, as a navigable tree.

Open Reference Tree
Reference this Doc

Plain text (ISO 690 compliant)

Preview:
Roger Sacilotto, Shailendra Mathur, and Rob Gonsalves; Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002010
Snippet:
Roger Sacilotto, Shailendra Mathur, and Rob Gonsalves; Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002010

HTML (ISO 690 compliant)

Preview:
Roger Sacilotto, Shailendra Mathur, and Rob Gonsalves; Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002010
Snippet:
<span class="citation">Roger Sacilotto, Shailendra Mathur, and Rob Gonsalves; <cite>Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at <a href="https://doi.org/10.5594/M002010" target="_blank" rel="noopener">https://doi.org/10.5594/M002010</a></span>

SMPTE Icon SMPTE's HTML Pub

Preview:
Roger Sacilotto, Shailendra Mathur, and Rob Gonsalves; Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
doi: 10.5594/M002010
url: https://doi.org/10.5594/M002010
Snippet:
<li>
Roger Sacilotto, Shailendra Mathur, and Rob Gonsalves; <cite id="bib-10-5594-m002010">Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
<span class="doi">10.5594/M002010</span>
</li>