Wilson Wong

Wilson Wong is a Postdoctoral Research Associate at the University of Western Australia (UWA) working on the application of text mining and natural language processing across different domains such as healthcare. Wilson was an Endeavour IPRS Scholar for his PhD study at UWA. His doctoral dissertation investigates the use of Web data for automatically acquiring knowledge from natural language texts across different domains. Wilson also has a BIT (First Class Honours) (Data Communications) degree, and an MSc (Information and Communication Technology) by research degree in the field of natural language processing from Malaysia. Wilson has close to 30 publications in book chapters, reputable conferences (e.g. IJCNLP, IJCAI, PACLING), and high-impact journals (e.g. DMKD, IDA). His areas of interest include text mining, natural language processing, Web technologies, and health informatics.

Publications

Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances
Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances
Wilson Wong, Wei Liu, Mohammed Bennamoun. © 2011. 358 pages.
Ontologies form an indispensable part of the Semantic Web standard stack. While the Semantic Web is still our vision into the future, ontologies have already found a myriad of...
A Cognitive-Based Approach to Identify Topics in Text Using the Web as a Knowledge Source
A Cognitive-Based Approach to Identify Topics in Text Using the Web as a Knowledge Source
Louis Massey, Wilson Wong. © 2011. 18 pages.
This chapter explores the problem of topic identification from text. It is first argued that the conventional representation of text as bag-of-words vectors will always have...
Featureless Data Clustering
Featureless Data Clustering
Wilson Wong. © 2009. 24 pages.
Feature-based semantic measurements have played a dominant role in conventional data clustering algorithms for many existing applications. However, the applicability of existing...