ONTOLOGY/SOCIAL MEDIA/BIG DATA ANALYTICS
We use ontology, natural language processing, and artificial intelligence to develop new methods and models to analyze the semantic meaning of the text in the document and social media data. We implement the metadata engine and ontology databases with blockchain and network analysis technologies to understand the information context and scenario.
We provide consutlancy services with our developed tools and methods for classifying, summarizing, and analyzing the social media text, consumers' discussions, opinions, and preferences.
We use our tools to help companies to develop marketing strategies, product design, and business risk management.
Recent Development
"Using AI on the Ontology for Intelligent Big Data Visualisation" with ImpactInvest Limited
"Using a novel Skip Gram, Knowledge Graph and Long Short-Term Memory (SGK-LSTM) model for Stock Price Prediction" with ImpactInvest Limited
"COVID-19 Data Visualisation Dashboard for Epidemic Monitoring" with healthcare experts
CHEUNG, Liege, WANG, Yun, LAU, Adela S.M. and CHAN, Rogers M.C. (2022). Using a novel clustered 3D-CNN model for improving crop future price prediction. Knowledge-Based Systems (impact factor 8.139).
HU, R.Y., CHEUNG, L., LI, J., LAU, A., and CHAN, R. (2022). Using AI on the Ontology for Intelligent Big Data Visualization: A Case Study on Crop Future Price Prediction. The 51st Annual Meeting Conference of Southeast Decision Sciences Institute (SEDSI 2022).
GAO, J., & et. al. (2018). Detecting comments showing risk for suicide in YouTube. In Arai, K., Bhatia, R. and Kapoor, S. (Eds.): Proceedings of the Future Technologies Conference (FTC) 2018, Volume 1, 385-400.
TANG, Y., & et. al. (2016). Neural machine translation with external phrase memory. CoRR, abs/1606.01792.
LAU, A. and TSE, S. (2010). Development of the Ontology Using a Problem-Driven Approach: In the Context of Traditional Chinese medicine Diagnosis. International Journal of Knowledge Engineering and Data Mining, Vol 1, p.37 – 49. (Cited by 2)
TSUI, E., WANG, W.M., CHEUNG, C.F., and LAU, A.S.M.. (2010). A Concept-Relationship Acquisition and Inference Approach for Hierarchical Taxonomy Construction from Tags. Information Processing & Management(impact factor 4.787), Vol. 46, Issue 1, p.44-57. (Cited by 79).
LAU, A. (2009). Implementation of an onto-wiki toolkit using web services to improve the efficiency and effectiveness of medical ontology co-authoring and analysis.Informatics for Health and Social Care (impact factor 1.982), Vol. 34, No. 1, p.73 - 80. (Cited by 10).
LAU, A. TSUI, E., and LEE, W.B.. (2009). An Ontology-based Similarity Measurement for Problem-based Case Reasoning. Expert systems and Application (impact factor 5.452), Vol. 36, Issue 3, Part II, p.6574-6579. (Cited by 50).
HU, R.Y., CHEUNG, L., LI, J., LAU, A., and CHAN, R. (2022). Using AI on the Ontology for Intelligent Big Data Visualization: A Case Study on Crop Future Price Prediction. The 51st Annual Meeting Conference of Southeast Decision Sciences Institute (SEDSI 2022).
LAU, A.S.M., and BOUAZIZI, N. (2019). Big Data Analytics for International Market Expansion: Case Studies in ExporTech. International Journal of Knowledge Engineering, Vol. 5, No. 2, 2019.
LAU, A.S.M., BAKER, K., KEMPF, K., GRZYB, K., OKE, S., TSUI, E., CHEUNG, L., SLAMA, M.C. and SU, M. (2019). Using Artificial Intelligence and Social Media Analytics in Digital Health: A Case Study of Zocdoc for Consumers’ Health Care Services Analysis. Adaptive Health Management Information Systems:Concepts, Cases, & Practical Applications: Concepts, Cases, Practical Applications. Jones & Bartlett Publisher.
LAU, A.(2011). Hospital-Based Nurses’ Perceptions of the Adoption of Web 2.0 Tools for Knowledge Sharing, Learning, Social Interaction and the Production of Collective Intelligence. Journal of Medical Internet Research (impact factor 5.03), Vol 13, No 4, e92, p.1-12. (Cited by 102).
LAU, A. and TSUI, E. (2009). Application of Web2.0 Technology for Clinical Training. Social Web Evolution: Integrating Semantic Applications and Web2.0 Technologies, Hershey, New York, U.S.A., p.132 – 137. (Cited by 1).
