I help computer understand "Things".

In a more techy way to explain,

I'm dealing with automatic Ontology Construction & Learning.

What is Ontology?

In Philosophy, Ontology means "the nature and organisation of being"

From modern computer science point of view, it means "shared conceptualization-domain of interest to support communication among humans and computers"

Why do you do it?

Nowadays, Ontology has been wildly used in many areas in CS, includes (not limit to) AI, Semantic Web etc. However, most of them are created manually.

The previous research about Ontology construction is either based on an existing Upper ontology (to decide whether a property belongs to an ontology or not), or just pre-define an ontology class then using NLP or ML extract information from data source and fill in.

So, don't you think it is a COOL job to make this process more dynamic, accurate and semantic?

How do you do it?

We believe the "knowledge" and "structure" represented by a domain ontology could be "transferred" between two closely-related domains.

So, the basic philosophy here is that, in order to create an Ontology about domain X, we start from an existing Ontology about domain Y, which close to X. Then try to find out the internal connectivity between each properties in Y, and WHY they can be a property in Y by analyzing the document about domain Y.

Finally, we construct the Ontology X based on the rules we learned from Y.

Of course, it is never as easy as we describe here, so please keep your on my homepage in the future for more information.

Not only Ontology!!

My research interest is not only about Ontology. So, please don't be surprised to see publications in other areas.

* Corresponding Author, last update: 19/09/2014

Conference Papers
  • J. Wan, J. Barnden, A New Semantic Model for Domain-Ontology Learning, International Conference on Human-Centered Computing (HCC 2014), Cambodia, 2014 (Accepted)
  • J. Li, Y. Lu, L. Ye, S. Zhou, J. Wan and Y. Zhang. Research on construction method of BR-TIN spatial data model based on object, International Conference on Human-Centered Computing (HCC 2014), Cambodia, 2014 (Accepted)
  • S. Hipwell, J. Wan*, An Approach to Developing and Integratiing Intelligent Building Systems- On a Live Project, 30th International Conference on Applications of IT in the AEC Industry, Tsinghua University, Beijing, 2013
  • J. Li, Y. Lu, J. Wan* and L. Ye, “Spatio-temporal Data Organization Method of "Air-Earth-Life” the Multidimensional Elements Based on SOA in Land Environment, Pervasive Computing and Networked World. Vina del Mar, Chile, 2013
  • J. Li, Y. Xu, J. Wan*, L. Ye, and Y. Lu, A Semantic Description method of Spatio-Temporal Data and its Application, Pervasive Computing and Networked World, Vina del Mar, Chile, 2013
  • J. Li, J. Wan*, Y. Lu, J. Chen, and Y. Fu, A New Object-Oriented Approach towards GIS Seamless Spatio-Temporal Data Model Construction, International Conference on Pervasive Computing and Application, Turkey, 2012.
  • J. Li, Y. Liang, and J. Wan*, GEO-ONTOLOGY-BASED OBJECT-ORIENTED SPATIOTEMPORAL DATA MODELING, International Conference on Pervasive Computing and Application, Turkey, 2012.
  • J. Wan, B. Hu, and X. Li, EEG: A Way to Explore Learner's Affect in Pervasive Learning System, Gird and Pervasive Computing, Taiwan, 2010, pp. 109-119.
  • R. Ashford, P. Moore, B. Hu, M. Jackson, and J. Wan, Translational Research and Context in Health Monitoring Systems, International Conference on Complex, Intelligent and Software Intensive Systems, Poland, 2010, pp. 81-86.
  • P. Moore, B. Hu, M. Jackson, and J. Wan, Intelligent Context for Personalised M-Learning, International Conference on Complex, Intelligent and Software Intensive Systems, Japan, 2009, pp. 247-254.
  • J. Wan, B. Hu, P. Moore, and R. Ashford, Intelligent Mobile Computing to Assist in the Treatment of Depression, International Conference on Pervasive Computing and Application, Alexandria, 2008, pp. 650-655.
Journal Articles
  • P. Moore, B. Hu, and J. Wan, Smart-Context: A Context Ontology for Pervasive Mobile Computing, The Computer Journal, vol. 53, pp. 191-207, 2010.
  • B. Hu, B. Hu, J. Wan, F. Zheng, and L. Liu, UWMAIS: ubiquitous water monitoring platform, Cluster Computing, vol. 13, pp. 153-165, 2010.
  • B. Hu, B. Hu, J. Wan, D. Majoe, H.-H. Chen, L. Li, et al., Ontology-based ubiquitous monitoring and treatment against depression, Wireless Communications and Mobile Computing, vol. 10, pp. 1303-1319, 2010.
  • B. Hu, J. Wan, and P. Moore, An Intelligent Mobile Solution for Water Environmental Monitoring (Accepted), Pervasive Computing, 2009.
  • Moore, P., Hu, B. & Wan, J. Smart-Context: A Context Ontology for Pervasive Cooperative Applications The Computer Journal, Advance Access published on March 4, 2008
  • B. Hu, B. Hu, J. Wan, H. Nie, and C. Zhai, Safe river water: A ubiquitous and collaborative water quality monitoring solution, Pervasive and Mobile Computing, vol. 5, pp. 419-431, 2009.
Books
  • Moore, P., Hu, B, & Wan, J. (2010). ‘Intelligent Context’ for Personalised Mobile Learning In Architectures for Distributed and Complex M-Learning Systems: Applying Intelligent Technologies, (Eds) S. Caballe; F. Xhafa; T. Daradoumis; A. A. Juan, Hershey, PA, USA, IGI Global

Want to contact me? Get in touch!

: Jizheng.Wan@bcu.ac.uk
: wanjizheng@gmail.com
: wanjizheng
: +44 121 331 6899
QQ: 9255127

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