Judith Gelernter, PhD


Associate Scientist
School of Computer Science
Carnegie Mellon University

Research areas


Geolocation and geographic information retrieval

Information visualization and mapping

Design of systems to reduce visual mistakes

Articles

Gelernter, J., Zhang, W. (under review). Learning candidate preferences to resolve location expressions in Twitter messages. Journal of Spatial Information Science.

Gelernter, J. (under review) Artificial event response systems can lessen misses from false negatives in screening tasks Transactions on Intelligent Interactive Systems.

Gelernter, J., Ganesh, G., Krishnakumar, H. and Zhang, W. (2013) Automatic gazetteer enrichment with user geo-coded data. Second ACM SigSpatial International Workshop on Crowdsourced and Volunteered Geographic Information (GEOCROWD) November 5, 2013, Orlando, Florida, U.S.A.© [Gelernter, Ganesh, Krishnakumar, and Zhang][2013] This is the author's version of the work. It is posted here for your personal use. Not for redistribution. http://dx.doi.org/10.1145/2534732.2534736

Gelernter, J. and Zhang, W. (2013). Cross-lingual geo-parsing for non-structured data. 7th Workshop on Geographic Information Retrieval (GIR) November 5, 2013, Orlando, Florida, U.S.A. © [Gelernter and Zhang][2013] This is the author's version of the work. It is posted here for your personal use. Not for redistribution. http://dx.doi.org/10.1145/2533888.2533943

Gelernter, J. (2013). Effective threat detection for surveillance. IEEE International Conference on Technologies for Homeland Security, HST2013, 12-14 November, Waltham, MA, USA.

Gelernter, J. and Balaji, S. (2013). An algorithm for local geoparsing of microtext. GeoInformatica, 17(4), 635-667. Please see Gelernter and Zhang (under review) "Cross-lingual geo-parsing" for the most recent version of this algorithm.

Gelernter, J., Carley, K. M. (2013). Spatiotemporal network analysis and visualization. International Journal of Applied Geospatial Research 4(4), in press.

Gelernter, J. and Wu, G. (2012). High performance mining of social media data. XSEDE'12 July 16-20, Chicago, Illinois, U.S.A. [3 pp.]

Gelernter, J. and Mushegian, N. (2011). Geo-parsing crisis messages from microtext. Transactions in GIS. 15(6), 753-773.

Lesk, M. and Gelernter, J. (2011). Use of ontologies for data integration and curation. International Journal of Digital Curation 6 (1), 70-78.

Cao, D., Qiao, X.Q., Gelernter, J., Li, X.F., Meng, L.M. (2011). Mining data correlation from multi-faceted sensor data in the internet of things. China Communications, 8(1), 132-139.

Cao, D., Gelernter, J., Carbonell, J. (2010). Automatic document filing according to user categories. Computing Science and Statistics. Omitted from these conference proceedings due to publisher oversight.

Gelernter, J., Cao, D. and Carbonell, J. (2010). Studies on relevance, ranking and results display. Journal of Computing 2(6), 7-20.

Gelernter, J, Cao, D., Lu, R., Fink, E., Carbonell, J. (2009). Creating and visualizing fuzzy document classification. IEEE Conference on Man, Systems and Cybernetics, October 11-14, San Antonio, Texas, 672-679.

Gelernter, J. (2009). Image indexing in article component databases. Journal of the American Society for Information Science and Technology, 60(8), 1-12.

Gelernter, J. (2008). Data mining of maps and their automatic region-time-theme classification. Presented at The 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), November 5-7, 2008, Irvine, CA, USA. Published in The SigSpatial Special 1 (1), 39-44.

Gelernter, J. and Lesk. M. (2008). Traditional resources help interpret texts. Conference on Information and Knowledge Management, October 26-30, 2008, Napa Valley California, U.S.A., 17-20.

Gelernter, J. and Lesk. M. (2008). Is your map here? The 17th International Research Symposium on Computer-based Cartography, September 8-11, 2008, Shepherdstown, West Virginia, U.S.A. [13 pp.]

Gelernter, J. (2007). A quantitative analysis of collaborative tags: Evaluation for information retrieval: A preliminary study. The 3rd International Conference on Collaborative Computing: Networking, Applications and Work Sharing jointly sponsored by Create-Net, and the International Communications Sciences and Technology Association (ICST). Crowne Plaza White Plains, New York, USA, November 12-15, 2007, 376-381.


Books

Gelernter, J., Cao, D., Carley, K. (2011). Extraction of Spatio-Temporal Data for Social Networks, Chapter 15 in T. Φzyer et. al, The Influence of Technology on Social Network Analysis and Mining. Lecture Notes in Social Networks, vol. 6 (pp. 351-372) Springer, Vienna. [ISBN: 978-3-7091-1346-2] DOI 10.1007/978-3-7091-1346-2_15

Gelernter, J. (2010 submitted). Mining journal article components: the case of map graphics Ed. N. Tang Information Extraction from the Internet. (pp. 57-72). IConcept Press. [ISBN: 978-14563570-0-9]

Gelernter, J. (2009). Intelligent information retrieval for maps. Saarbrueken, Germany: VDM Verlag. ISBN: 978-3-639-14359-1]

Gelernter, J. (2009). Neogeography. Chapter 39 in T. Dumova and R. Fiordo (Eds), Handbook of Research on Social Interaction Technologies and Collaboration Software. (pp. 439-450)[ISBN: 978-1-60566-368-5] DOI 10.4018/978-1-60566-368-5.ch039


Presentations (selected)

Directed looking. Visual Search Workshop Army Research Office, Washington, D.C., December 5-6, 2013.

Topics in recent research. United States Army Research Laboratory, Adelphi, Maryland, September 3, 2013.

Research overview: Geolocation and Attention. University of Maryland Center for Advanced Computer Studies, July 1, 2013.

Geolocation for intelligent law enforcement. Technology Symposium, Digital Intelligence and Investigation Directorate, June 12, 2013.

Location intelligence through mining text data. Topographic Engineering Center of the U.S. Army Research Engineering and Development Center, June 11, 2013.

Related research and our HourMap. National Geospatial-Intelligence Agency (NGA). Springfield, Virginia. June 6, 2013.

Geo-locating Twitter messages. Pittsburgh Supercomputing Center. February 28, 2012.

Georeferencing for social network analysis. Center for Computational Analysis and Organizational Systems (CASOS), Carnegie Mellon University, September 21, 2010.

Prototype of a data integration tool. Society for Prevention Research, Denver, Colorado, June 1, 2010.

Varied Applications of Ontology for Vertical Search, Information Visualization, and Data Fusion. Language Technologies Institute Seminar Series, July 31, 2009.

Methods to improve information retrieval through ontologies and visualization. Digital Library Colloquium, Carnegie Mellon University, January 14, 2009.

Research in methods to improve information retrieval. State University of New York at Buffalo. November 19, 2008.

MapSearch. Research Seminar, Google, Inc., New York City, July 2, 2008.

A new look at ontologies for information retrieval. Center for Intelligent Information Retrieval, University of Massachusetts at Amherst, May 14, 2008.


Courses designed

Introduction to Geoinformatics
Human Computer Interaction
Scientific writing, speaking and presentation
Big Data Management and Curation



Mentoring

These are the students and fellows who have worked with me in the School of Computer Science, Carnegie Mellon University, since 2008.
Primary affiliations are included when they are not Carnegie Mellon.

Postdoctoral fellow
  Xu Chen, 2013–   cross-lingual geoparsing

Graduate students
  Chaitra Radhakrishna, 2013–   Research Scholar, visualization for the metaphor project
  Wei Zhang, 2012–   Masters student, geoparsing
  Priyank Mathur, 2013, Masters student, Heinz College, prototype web interface for the geoparser
  Haibo Wang, 2013, Masters student, toponym disambiguation
  Apoorvi Jain, 2012–2013, Software engineering, School of Computer Science, inattentional blindness and data analysis
  Chirayu Wongchokprasitti, 2012–2013, Doctoral student, University of Pittsburgh, Social networking and geolocation
  Shuguang Han, 2012, Masters student, University of Pittsburgh, Geoparsing
  Gang Wu, 2012, Masters student, University of Pittsburgh, Geoparsing
  Dong Cao, 2008–2010, Doctoral student, Data mining – Awarded PhD spring 2011

Undergraduate students
  Nishtha Jain, summer 2014 , Vellore Institute of Technology, Chennai, metonym detection
  Osho Gupta, 2013– , Indian Institute of Technology, Varanasi, temporal parsing
  Nathaniel Lyons, 2013, metaphor/metonym project
  Kevin Gilbert, summer 2013, toponym disambiguation
  Gautam Ganesh, 2012–2013, Anna University, Chennai, toponym extraction and geo-merge
  Hamsini Krishnakumar, 2012–2013, Anna University, Chennai, toponym extraction and geo-merge
  Alison Kao, 2013, metaphor/metonym project
  Sally Gao, 2012, inattentional blindness
  Wangzi He, 2012, large-scale testing on the supercomputer
  Shilpa Balaji, 2011, geoparsing
  Nicholai Mushegian, 2011, geolocation
  Yichao Zhao, 2010, ontology integration
  Matthew Goldfarb, 2009, ontology integration



Selected projects and software

Geolocator – geoparser and geocoder for tweets
Metaphor Viz – prototype front end interface for a system that detects metaphors automatically
HourMap – prototype for a time-relevant map
MetaCarta – see Latest News 5/13/2013
*ORA – contributed geolocation code
GeonGrid – see PaleoLit


My background

I have done pure research since 2008 in the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University. I supervise undergraduates, graduate students and (soon) a postdoctoral fellow on research in areas of geo-data mining, geo-information retrieval and visualization, and design of systems to reduce visual mistakes. My PhD in information science came from Rutgers University, where I worked with Professor Michael Lesk in a dissertation pertaining to maps. My B.A. from Yale University is in medieval history and culture, my A.M. from Harvard University is in fine arts, and my M.S. from Simmons is in information science.



Contact

Gates Hillman Center, 6416
Carnegie Mellon University
5000 Forbes Ave.  
Pittsburgh, PA 15213 U.S.A.
gelern at cs.cmu.edu



Acknowledgments

I would like to thank Dr. Jaime Carbonell for his continual support and encouragement.

My research has been/is being funded by:

USG, Principal Investigator: Judith Gelernter

DARPA STTR A013015, Subcontract: Judith Gelernter

ARL/ARO 60355-LS-II, Principal Investigator: Judith Gelernter

ARL/ARO 62308-NS-II, Principal Investigator: Judith Gelernter

IARPA W911NF120C0020, Principal Investigator: Jaime Carbonell

NSF XRAC IRI120002, Allocation on the Blacklight SGI Altix UV Supercomputer, Principal Investigator: Judith Gelernter

NSF XRAC DBS130003, Allocation on the Blacklight Supercomputer, Principal Investigator: Judith Gelernter

Berkman Faculty Grant, School of Computer Science, Carnegie Mellon University