UMBC ebiquity

Jennifer Sleeman

Primary Role:Ph.D. Student

Univ of Maryland, Baltimore County

Department: Computer Science and Electrical Engineering
City: Baltimore
State: MD
ZIP: 21250
Country: USA
Fax: +1.410-455-3969

Biography: Jennifer Sleeman is a Ph.D. student in Computer Science at the University of Maryland, Baltimore County. Her research interests include the Semantic Web, Machine Learning and ontology matching.


 Hide publications

18 Refereed Publications


1. Jennifer Sleeman et al., "Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps", InProceedings, AAAI Spring Symposium on AI for Social Good, March 2017, 373 downloads.


2. Jennifer Sleeman et al., "Advanced Large Scale Cross Domain Temporal Topic Modeling Algorithms to Infer the Influence of Recent Research on IPCC Assessment Reports", InProceedings, American Geophysical Union Fall Meeting 2016, December 2016, 290 downloads.

3. Jennifer Sleeman et al., "Dynamic Topic Modeling to Infer the Influence of Research Citations on IPCC Assessment Reports", InProceedings, Big Data Challenges, Research, and Technologies in the Earth and Planetary Sciences Workshop, IEEE Int. Conf. on Big Data, December 2016, 208 downloads.

4. Abhay L. Kashyap et al., "Robust Semantic Text Similarity Using LSA, Machine Learning and Linguistic Resources", Article, Language Resources and Evaluation, March 2016, 614 downloads.


5. Jennifer Sleeman, "Entity Disambiguation for Wild Big Data Using Multi-Level Clustering", InProceedings, Doctoral Consortium, 14th International Semantic Web Conference, October 2015, 313 downloads.

6. Jennifer Sleeman et al., "Topic Modeling for RDF Graphs", InProceedings, 3rd International Workshop on Linked Data for Information Extraction, 14th International Semantic Web Conference, October 2015, 488 downloads.

7. Jennifer Sleeman et al., "Entity Type Recognition for Heterogeneous Semantic Graphs", Article, AI Magazine, March 2015, 492 downloads.


8. Jennifer Sleeman et al., "Taming Wild Big Data", InProceedings, AAAI Fall Symposium on Natural Language Access to Big Data, November 2014, 535 downloads.

9. Abhay L. Kashyap et al., "Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity systems", InProceedings, Proceedings of the 8th International Workshop on Semantic Evaluation, August 2014, 1347 downloads.


10. Jennifer Sleeman et al., "Recognizing Entity Types in Heterogeneous Semantic Graphs", InProceedings, AAAI 2013 Fall Symposium on Semantics for Big Data, November 2013, 666 downloads.

11. Jennifer Sleeman et al., "Type Prediction for Efficient Coreference Resolution in Heterogeneous Semantic Graphs", InProceedings, Proceedings of the Seventh IEEE International Conference on Semantic Computing, September 2013, 547 downloads.


12. Jennifer Sleeman, "Online unsupervised coreference resolution for semi-structured heterogeneous data", InProceedings, Proceedings of the 11th International Semantic Web Conference, November 2012, 484 downloads.

13. Jennifer Sleeman et al., "Cluster-based Instance Consolidation For Subsequent Matching", InProceedings, First International Workshop on Knowledge Extraction and Consolidation from Social Media, November 2012, 703 downloads.

14. Jennifer Sleeman et al., "Opaque Attribute Alignment", InProceedings, Proceedings of the 3rd International Workshop on Data Engineering Meets the Semantic Web, April 2012, 695 downloads.


15. Kavita Krishnaswamy et al., "Real-Time Path Planning for a Robotic Arm", InProceedings, Proceedings of the 4th International Conference on Pervasive Technologies Related to Assistive Environments , May 2011, 1120 downloads.


16. Jennifer Sleeman et al., "Learning Co-reference Relations for FOAF Instances", InProceedings, Proceedings of the Poster and Demonstration Session at the 9th International Semantic Web Conference, November 2010, 1782 downloads.

17. Jennifer Sleeman et al., "Computing FOAF Co-reference Relations with Rules and Machine Learning", InProceedings, Proceedings of the Third International Workshop on Social Data on the Web, November 2010, 2734 downloads.

18. Jennifer Sleeman et al., "A Machine Learning Approach to Linking FOAF Instances", InProceedings, Proceedings of the AAAI Spring Symposium on Linked Data Meets Artificial Intelligence, January 2010, 1990 downloads.