Hyoil Han


 Assistant Professor
College of Information Science and Technology
Drexel University
Contact information:
Email:     hhan AT ischool.drexel.edu (or hyoil.han AT acm.org )
Phone:     215-895-0493
Fax:     215-895-2494
335 Rush Building
3141 Chestnut Street, Philadelphia, PA 19104


Hyoil Han joined College of Information Science and Technology at Drexel University in 2002.   Hyoil received her BS degree in Electrical Engineering from Korea University in her hometown, her MS degree in Electrical Engineering from Korea Advanced Institute of Science and Technology, and her Ph.D. degree in Computer Science and Engineering from the University of Texas at Arlington in 2002.   Previously she worked for Samsung Electronics and Telecommunication Network Lab. at Korea Telecom as a member of technical staff.

Reasearch Interest
Intelligent Information Processing, Mining, and Management:
Text/data mining, Data management/integration, Automated knowledge acquisition, Information extraction/retrieval (IE/IR), Natural language understanding, The Semantic Web, Semantic web service, Service oriented computing, XML data management, Stream data mining/management, Digital library, Life sciences (medical informatics and bioinformatics), and Scientific computing.

Information management and knowledge discovery from e-sources (electronic data sources) are becoming increasingly difficult due to the existence of massive amounts of heterogeneous data that only humans are able to understand. Until recently, research has focused on syntactically understandable machine information exchange and discovery. Semantics is the key for information technologies that focus on automating semantically meaningful information interchange, understanding data/text, and discovering knowledge from the Web and other e-sources. Applying database and artificial intelligence techniques (such as machine learning and natural language understanding) to data/text in e-sources is one of the best approaches for achieving the goals of understanding data/text, discovering semantic knowledge from e-sources, integrating/interchanging data seamlessly, and transforming its nature from one that only humans can understand to one that a machine can process. The data available in e-sources is of various kinds, such as semi-structured, unstructured and even stream data. Traditional theories and technologies cannot process these data types. New approaches are required to understand, mine, and manage them. My research focuses on developing theories and building intelligent systems for understanding, mining, and managing these unconventional data types.

Reasearch Prototype
Biomedical Text Understanding System - BioTUS

Funded Project
Teaching
Recent Publications (Full Publications)
  1. Protima Banerjee and Hyoil Han, Development of a Semantic Question Context for Question Answering, To appear in the 22nd International FLAIR Conference (Florida Artificial Intelligence Research Society), Sanibel Island, Florida, USA, May 19-21, 2009.
  2. Sofia J. Athenikos, Hyoil Han, and Ari D. Brooks, A Framework of a Logic-based Question-Answering System for the Medical Domain (LOQAS-Med), ACM Symposium on Applied Computing (ACM SAC 2009), Honolulu, Hawaii, USA, March 8-12, 2009.
  3. Lawrence Reeve, Hyoil Han, and Ari D. Brooks, Online Biomedical Concept Annotation Using Language Modeling, (short paper), The 2008 IEEE Conference on Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, USA, Nov. 3-5, 2008.
  4. Sofia J. Athenikos, Hyoil Han, and Ari D. Brooks, Semantic Analysis and Classification of Medical Questions for a Logic-Based Medical Question-Answering System, (short paper), The International Workshop on Biomedical and Health Informatics in conjunction with IEEE Conference on Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, USA, Nov. 3, 2008.
  5. Protima Banerjee and Hyoil Han, Incorporation of Corpus-Specific Semantic Information into Question Answering Context, (short paper), The 2nd International Workshop on Ontologies and Information Systems for the Semantic Web (ONISW 2008) in conjunction with ACM 17th Conference on Information and Knowledge Management, (short paper), Napa Valley, CA, USA, October 30, 2008.
  6. Lawrence Reeve, Hyoil Han and Ari D. Brooks, The Use of Domain-Specific Concepts in Biomedical Text Summarization, International Journal of Information Processing and Management, Volume 43, Issue 6, Elsevier, pp. 1765-1776, November 2007.
  7. Lawrence Reeve and Hyoil Han, CONANN: An Online Biomedical Concept Annotator, 4th International Workshops in Data Integration in the Life Sciences 2007 (DILS 2007), pp. 264-279, Philadelphia, PA, USA, June 27-29, 2007.
  8. Lawrence Reeve, Hyoil Han and Ari D. Brooks, Biomedical Text Summarization Using Concept Chains, International Journal of Data Mining and Bioinformatics, Vol. 1, pp. 389-407, Inderscience Publishers, 2007.
  9. Palakorn Achananuparp, Hyoil Han, Olfa Nasraoui, and Roberta Johnson, Semantically Enhanced User Modeling, ACM Symposium on Applied Computing (ACM SAC 2007), Seoul, Korea, March 11-15, 2007.
  10. Nam-Yeon Choi, Il-Yeol Song, and Hyoil Han, A Survey on Ontology Mapping, ACM SIGMOD RECORD (Special Interest Group on Management of Data), Vol. 35, Num. 3, pp.34-41, 2006.
  11. Lawrence Reeve, Hyoil Han, Saya V. Nagori, Jonathan C. Yang, Tami Schwimmer, and Ari D. Brooks, Concept Frequency Distribution in Biomedical Text Summarization, Proceedings of ACM 15th Conference on Information and Knowledge Management (ACM CIKM), Arlington, VA, USA, Nov. 6-11, 2006.
  12. Hyoil Han, Han C. Ryoo, and Herbert Patrick, An Infrastructure of Stream Data Mining, Fusion, and Management for Monitored Patients, The 19th IEEE International Symposium on Computer Based Medical System (IEEE CBMS), pp. 461-465, Salt Lake City, Utah, USA, June 22-23, 2006.
  13. Hyoil Han, Yoori Choi, Yoomyung Choi, Xiaohua Zhou and Ari D. Brooks, A Genric Framework: From Clinical Notes to Electronic Medical Records, The 19th IEEE International Symposium on Computer Based Medical System (IEEE CBMS), pp. 111-116, Salt Lake City, Utah, USA, June 22-23, 2006.
  14. Lawrence Reeve, Hyoil Han, and Ari D. Brooks,   BioChain: Lexical Chaining Methods for Biomedical Text Summarization,    The 21st Annual ACM Symposium on Applied Computing (ACM SAC) 2006, Technical tracks on Bioinformatics (BIO 2006), pp. 180-184, Dijon, France, April 23 -27, 2006.
  15. Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann A. Prestrud, and Ari D. Brooks,   Approaches to Text Mining for Clinical Medical Records,    The 21st Annual ACM Symposium on Applied Computing (ACM SAC) 2006, Technical tracks on Computer Applications in Health Care (CAHC 2006), pp. 235-239, Dijon, France, April 23 -27, 2006.
  16. Xiaohua Zhou, Xiaohua Hu, Xia Lin, Hyoil Han, and Xiaodan Zhang,   Relation-based Document Retrieval for Biomedical Literature Databases,    The 11th International Conference on Database Systems for Advanced Applications (DASFAA) (LNCS 3882, Springer, Spring 2006), pp. 689-701, April 12-15, 2006.
  17. Lawrence Reeve and Hyoil Han, A Comparison of Semantic Annotation Systems for Text-based Web Documents,    Web Semantics and Ontology, David Taniar and Wenny Rahayu (Eds.), Idea Group Publishing, Hershey, PA, early 2006.
  18. Lawrence Reeve and Hyoil Han, Semantic Annotation for Semantic Social Networks Using Community Resources, AIS SIGSEMIS Bulletin, Vol. 2, Issue (3&4), 2005, pp. 52-56, David Taniar and Wenny Rahayu (Eds.), Idea Group Publishing, Hershey, PA, early 2006.

Ph.D. Advisees/Co-advisees
Others