Data Model, Ontology, and Semantic Interoperability

Synopsis

The development of formal ontologies for geospatial features is one of the research priorities identified by the US University Consortium of Geographic Information Science and the conceptual foundation of the Geographic Information Science & Technology Body of Knowledge published by the Association of American Geographers. It encompasses a series of research topics that enhances computer-based knowledge systems in understand and process geo-coded information, better (machine) reasoning and decision making capability, and facilitates data integration from disparate domains. My research interest in data models and ontology focus on developing (1) formal ontologies for geographic features, (2) tools for automatically measuring how similar are two geospatial features from two databases or two different languages, and (3) applications of ontologies in urban environments.


Publications
Du S, Wang X, Feng C-C, and Zhang X, forthcoming, Classifying natural-language spatial relation terms with random forest algorithm. International Journal of Geographic Information Science, http://dx.doi.org/10.1080/13658816.2016.1212356

Du S, Su M, and Feng C-C, 2015, Representation and discovery of building patterns: a three-level relational approach. International Journal of Geographic Information Science, 30(6): 1161-1186

Du S, Feng C-C, and Lou G, 2015, Integrative representation and inference of qualitative locations about points, lines, and polygons. International Journal of Geographic Information Science, 29(6), 980-1006

Sinha G, Mark D, Kolas D, Varanka D, Romero B, Feng C-C, Usery L, Liebermann J, and Sorokine A, 2014, An Ontology Pattern for Surface Water Features, Lecture Notes in Computer Science (LNCS) 8728, M Duckham et al (Eds.), Springer, Berlin Heidelberg, 187-203

Du S, Feng C-C, Wang Q, and Lou G, 2014, Multi-scale Qualitative Location: A Topology-Based Model. Transactions in GIS, 18(4), 604-631

Feng C-C and Sorokine A, 2014, Comparing English, Mandarin, and Russian Hydrographic and Terrain Categories. International Journal of Geographic Information Science, 28(6), 1294-1315

Du S, Feng C-C, and Wang Q, 2013, Multi-scale Qualitative Location: A Direction-Based Model. Computer, Environment, and Urban Systems, 41, 151-166

Feng C-C
and Mark D M, 2012, Exploring NGA GEOnet Names Server Data for Cross-Linguistic Research on Landscape Categories: A Case Study of Some Toponyms in Malaysia and Indonesia, GIScience 2012, Columbus OH

Wu J, Feng C-C, and Chen C-Y, 2012, A Flexible Data Integration Framework Using Ontology Similarity. Journal of Computational Information Systems, 8(21), 8819-8826

Feng C-C and Bittner T, 2010, Ontology-Based Qualitative Feature Analysis: Bay as a Case Study. Transactions in GIS. 14(4), 547-568

Feng C-C and Sorokine A, 2008, A Comparison of Mandarin and Russian Definitions of Physical Features, in Fifth International Conference – GIScience 2008 Extended Abstract, T. J. Cova, H. J. Miller, K. Beard, A. U. Frank, and M. F. Goodchild (Eds.), IfGI prints, 70-72, 23-26 September, 2008

Feng C-C and Bittner T, 2006, Class-Based Relations for Hydrographic Features, in Fourth International Conference – GIScience 2006 Extended Abstract, M. Raubal, H. J. Miller, A. U. Frank, and M. F. Goodchild (Eds.), IfGI prints, Munster, 65-68, 20-23 September, 2006

Feng C-C and Flewelling D M, 2005, Incorporating Process in Geographic Information for Enhancing Semantic Verification, in Next Generation Geospatial Information: from Digital Image Analysis to SpatioTemporal Databases, P Agouris and A Croitoru (Eds.), Taylor and Francis, London, 169-178

Feng C-C, Bittner T, and Flewelling D M, 2004, Modeling Surface Hydrology Concepts with Endurance and Perdurance, Lecture Notes in Computer Science (LNCS) 3234: Geographic Information Science, M J Egenhofer, C Freksa, and H J Miller (Eds.), Springer, Berlin, Heidelberg, 67-80

Feng C-C and Flewelling D M, 2004, Assessment of Semantic Similarity between- Land Use/Land Cover Classification Systems, Computer, Environment, and Urban System. 28(3), 229-246

Feng C-C and Sorokine A, 2001, Incorporating Hydrologic Semantic Information for Interoperable GIS with Hydrologic Model, Proceedings of the Ninth ACM International Symposium on Advances in Geographic Information Systems, Atlanta, GA, 9-10 November, 2001, 59-63


(+1 papers under this topic in preparation.)