Sign inGet started
Paper · arXiv

OntoKG-EQ: A provenance-grounded, competency-question-governed knowledge graph for auditable analyst querying

Analysts in emerging equity markets keep answering the same questions. Did fundamentals match the market's response? How does the local currency co-move with returns? Which firms outperform sector and benchmark, and which disclosures coincide with abnormal trading? These answers come from ad-hoc spreadsheets that are hard to reproduce, audit, or trust. We present OntoKG-EQ, a knowledge-based system that makes such queries reproducible, evidence-linked, temporally explicit, valid, and inspectable. It couples a bounded, competency-question-governed core ontology with a provenance-aware knowledge graph in which every class, property, shape, and metric is justified by one of five frozen quest...

AuthorsFurqan Nasir, Muhammad Atif Saeed, Muhammad Ehsan et al.
Primary categorycs.ET
Published8 September 2026
Last updated at source8 September 2026
cs.ETcs.AIcs.DB
Embed this entry
<iframe src="https://silytics.si/embed/item/dadb7240-54b7-43d1-96c9-7f5b62d585dc" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.