Jing Ao

College of Engineering

Works (3)

Updated: March 6th, 2026 13:58

2025 article

Retrieving unusual temporal trends effectively and efficiently with trend surfing

Ao, J., Schatz, K., & Chirkova, R. (2025, December 5). International Journal of Data Science and Analytics.

By: J. Ao n, K. Schatz n & R. Chirkova n 

topics (OpenAlex): Time Series Analysis and Forecasting; Data Stream Mining Techniques; Data Visualization and Analytics
Sources: NC State University Libraries, NC State University Libraries
Added: March 4, 2026

2023 article

Theory and Practice of Relational-to-RDF Temporal Data Exchange and Query Answering

Ao, J., Cheng, Z., Chirkova, R., & Kolaitis, P. G. (2023, April 8). Journal of Data and Information Quality, Vol. 4.

By: J. Ao n, Z. Cheng *, R. Chirkova n  & P. Kolaitis *

author keywords: Data-intensive sciences and databases; theory of temporal databases; information quality in temporal data exchange; RDF / RDFS / SPARQL
topics (OpenAlex): Semantic Web and Ontologies; Advanced Database Systems and Queries; Service-Oriented Architecture and Web Services
TL;DR: A general framework that formalizes the relational-to-RDF temporal data-exchange problem and proves correctness of the information output by the algorithms is developed and also reports on the algorithm implementation and experimental results for two application domains. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 14, 2023

2021 article

Trustworthy Knowledge Graph Population From Texts for Domain Query Answering

Ao, J., Dinakaran, S., Yang, H., Wright, D., & Chirkova, R. (2021, December 15). 2021 IEEE International Conference on Big Data (Big Data).

By: J. Ao n, S. Dinakaran n, H. Yang n, D. Wright n  & R. Chirkova n 

Contributors: J. Ao n, S. Dinakaran n, H. Yang n, D. Wright n  & R. Chirkova n 

author keywords: Text data; populating knowledge graphs; ontology-based information extraction; feature engineering
topics (OpenAlex): Topic Modeling; Advanced Graph Neural Networks; Access Control and Trust
TL;DR: A scalable domain-independent text-to-KG approach that adapts to specific domains by using domain ontologies, without having to consult external triple repositories is introduced, which builds on the power of neural-based learning models and leverages feature engineering to distinguish ontology-aligned data from generic data in the source texts. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 5, 2022

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