Han Wang

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Han Wang
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Emailwangh17@rpi.edu
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http://www.rpi.edu/
Han Wang is pursuing his Ph.D. in the Multidisciplinary Science (MDSC) program at Rensselaer Polytechnic Institute (RPI) with Prof. Peter Fox and Prof. Jim Hendler. He has been working on numerous academic projects on Data Science and Informatics. His current research focuses on Information Extraction, Natural Language Processing, and Machine Learning. His Ph.D. thesis is titled "Knowledge Base Construction from Scientific Literature".

Project Collaborator

MDSA LogoMulti-Sensor Data Synergy Advisor (MDSA)
Principal Investigator: Peter Fox
Description: Augment Giovanni, the Goddard online tool for data access, visualization and analysis, with semantic web technologies and ontologies to support data inter-comparisons from different sensors or models. Data provenance (i.e. the essential data parameter details, quality and production caveats) will be added to enable researchers to make valid data comparisons and draw quantitative conclusions on specific analysis (e.g. ocean fertilization due to acid rain). In the resulting Giovanni framework, the dataset variable characteristics and related quality can be encoded so that inter-comparison rules can be derived.
TW LogoNeon Educational System for Data Access and Analysis (NESDAA)
Principal Investigator: Dennis Ward and Peter Fox
Description: To enable advanced undergraduate students and facilitator to have access to learning materials and associated artefacts like data, code, workflows [e.g. Taverna], scientific literature, and more.
SVF LogoSemantic Vernaculars for Fungi (SVF)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Nathan Wilson
Description: Fungi are typically referred to by either scientific or common names. Neither of these terminologies meets the need for well-defined, persistent definitions of groups of fungi who exhibit similar macroscopic qualities, but may be dissimilar genetically. We propose a community-developed vocabulary that can be used to identify mushrooms based on properties that can be observed in the field (without microscopic or genomic examination). We show how an ontology can be used to develop and organize the terms and definitions and to enable applications based on the vocabulary.
SeSF Project LogoSemantic eScience Framework (SeSF)
Principal Investigator: Peter Fox
Co Investigator: Jim Hendler and Deborah L. McGuinness
Description: Over the past few years, semantic technologies have evolved and new tools are appearing. Part of the effort in this project will be to accommodate these advances in the new framework and lay out a sustainable software path for the (certain) technical advances. In addition to a generalization of the current data science interface, we will include an upper-level interface suitable for use by clearinghouses, and/or educational portals, digital libraries, and other disciplines.

Publications


Ma, X., West, P., Zednik, S., Erickson, J.S., Eleish, A., Chen, Y., Wang, H., Zhong, H., and Fox, P. 2017. Weaving a Knowledge Network for Deep Carbon Science. Frontiers in Earth Science
Wang, H., Zheng, J., Ma, X., Fox, P., and Ji, H. 2015. Language and Domain Independent Entity Linking with Quantified Collective Validation. In Proceedings of Conference on Empirical Methods in Natural Language Processing 2015 (September 17-21 2015, Lisbon, Portugal).
Wang, H., Meng, F., Zhuo, X., Yang, L., Li, C., and Xu, J. 2015. Learning from Metadata: a Fuzzy Token Matching Based Configuration File Discovery Approach. In Proceedings of 8th IEEE International Conference on Cloud Computing (June 27-July 2 2015, New York, NY, USA).
Wang, H., Wilson, N., Dunn, K., and McGuinness, D.L. 2012. Semantic Vernacular System: an Observation-based, Community-powered, and Semantics-enabled Naming System for Organisms. In Proceedings of ISWC 2012 (November 11-15 2012, Boston, MA).
Wilson, N., Wang, H., and McGuinness, D.L. 2012. Scientific Names and Descriptions for Organisms on the Semantic Web. In Proceedings of 2nd International Workshop on Linked Science 2012—Tackling Big Data at ISWC 2012 (November 12 2012, Boston, MA).

Ma, X., Zheng, J., Wang, H., & Fox, P. (December 15, 2015). Illuminate Knowledge Elements in Geoscience Literature. In: AGU Fall meeting 2015
Ma, X., West, P., Erickson, J., Zednik, S., Chen, Y., Wang, H., Zhong, H., & Fox, P. (October 12, 2015). From data portal to knowledge portal: Leveraging semantic technologies to support interdisciplinary studies. In: International Semantic Web Conference (ISWC) 2015
Wang, H., Chen, Y., West, P., Erickson, J., Ma, X., & Fox, P. (March 27, 2015). Beyond a Data Portal: A Collaborative Environment for the Deep Carbon Science Communities. In: DCO International Science Meeting 2015
Ma, X., Erickson, J., West, P., Zednik, S., Fox, P., Wang, H., & Chen, Y. (March 25, 2015). Formal Specification of Data Types in the Deep Carbon Observatory Data Portal. In: DCO International Science Meeting 2015
Wang, H., Chen, Y., West, P., Erickson, J., Ma, X., & Fox, P. (December 18, 2014). DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science Communities. In: AGU Fall Meeting 2014
Ma, X., Chen, Y., Wang, H., Erickson, J., West, P., & Fox, P. (October 3, 2014). Deep Carbon Virtual Observatory: Leveraging Data Science to Facilitate Earth Science Research.
Fox, P., Erickson, J., West, P., Ma, X., Zednik, S., Hendler, J., Chen, Y., & Wang, H. (August 7, 2014). Implementation of Open-World, Integrative, Transparent, Collaborative Science Data Platforms. In: VIVO 2014
Wang, H., Chen, Y., Ma, X., West, P., Erickson, J., Hazen, R., & Fox, P. (April 30, 2014). User-Aware Multi-Dimensional Data Exploration for Deep Carbon Observatory. In: European Geosciences Union General Assembly 2014
Ma, X., Chen, Y., Wang, H., West, P., Erickson, J., & Fox, P. (February 19, 2014). Technologies and Functionalities of the Platform for Linked Science of the Deep Carbon Observatory Community. In: DCO Early Career Scientist Workshop
Ma, X., Chen, Y., Wang, H., West, P., Erickson, J., & Fox, P. (February 19, 2014). Deep Earth Computer: A Platform for Linked Science of the Deep Carbon Observatory Community. In: DCO Early Career Scientist Workshop
Wang, H., Chen, Y., Ma, X., Erickson, J., West, P., & Fox, P. (December 9, 2013). Semantically-enabled Knowledge Discovery in Deep Carbon Observatory. In: AGU Fall Meeting 2013
Wang, H., Chen, Y., Ma, X., Erickson, J., West, P., & Fox, P. (March 3, 2013). Research Initiatives in Deep Carbon Observatory – Data Science. In: DCO International Science Meeting
Ma, X., Chen, Y., Wang, H., West, P., Erickson, J., & Fox, P. (March 3, 2013). Data Management Plans for the Deep Carbon Observatory: What, Why and How?. In: DCO International Science Meeting
Chen, Y., Wang, H., Ma, X., Erickson, J., West, P., & Fox, P. (February 28, 2013). Deep Carbon Observatory Data Science Platform. In: DCO International Science Meeting
Fox, P., Wee, B., West, P., Wilson, J., Zednik, S., & Wang, H. (December 6, 2012). NEON non-specialist use case; science data reuse in a classroom. In: AGU Fall Meeting 2012
Wang, H., Wilson, N., & McGuinness, D. (December 3, 2012). Semantic Web Compatible Names and Descriptions for Organisms. In: AGU Fall Meeting 2012
Rozell, E., Wang, H., West, P., Zednik, S., & Fox, P. (April 24, 2012). Configurable User Interface Framework for Cross-Disciplinary and Citizen Science . In: European Geosciences Union General Assembly 2012
Wang, H., Rozell, E., West, P., Zednik, S., & Fox, P. (December 7, 2011). Semantic Representation of Temporal Metadata in a Virtual Observatory. In: AGU Fall Meeting 2011