Rada Chirkova

Chirkova, K., Hou, P.-Y., Chirkova, R., & Amelot, A. (2023). Acoustic correlates of prominence in Kala Lizu (Tibeto-Burman). JOURNAL OF CHINESE LINGUISTICS, 51(1), 101–146. https://doi.org/10.1353/jcl.2023.0008

Ao, J., Cheng, Z., Chirkova, R., & Kolaitis, P. G. (2023). Theory and Practice of Relational-to-RDF Temporal Data Exchange and Query Answering. ACM JOURNAL OF DATA AND INFORMATION QUALITY, 15(2). https://doi.org/10.1145/3591359

Hou, P.-Y., Korn, D. R., Melo-Filho, C. C., Wright, D. R., Tropsha, A., & Chirkova, R. (2022). Compact Walks: Taming Knowledge-Graph Embeddings With Domain- and Task-Specific Pathways. PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (SIGMOD '22), pp. 458–469. https://doi.org/10.1145/3514221.3517903

Korn, D., Thieme, A. J., Alves, V. M., Yeakey, M., Borba, J. V. V. B., Capuzzi, S. J., … Tropsha, A. (2022). [Review of Defining clinical outcome pathways]. DRUG DISCOVERY TODAY, 27(6), 1671–1678. https://doi.org/10.1016/j.drudis.2022.02.008

Alves, V. M., Korn, D., Pervitsky, V., Thieme, A., Capuzzi, S. J., Baker, N., … Tropsha, A. (2022). [Review of Knowledge-based approaches to drug discovery for rare diseases]. DRUG DISCOVERY TODAY, 27(2), 490–502. https://doi.org/10.1016/j.drudis.2021.10.014

Korn, D., Pervitsky, V., Bobrowski, T., Alves, V. M., Schmitt, C., Bizon, C., … Tropsha, A. (2021). COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug-Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 61(12), 5734–5741. https://doi.org/10.1021/acs.jcim.1c01285

Korn, D., Bobrowski, T., Li, M., Kebede, Y., Wang, P., Owen, P., … Tropsha, A. (2021). COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database. BIOINFORMATICS, 37(4), 586–587. https://doi.org/10.1093/bioinformatics/btaa718

Chirkova, R., Doyle, J., & Reutter, J. (2021). Ensuring Data Readiness for Quality Requirements with Help from Procedure Reuse. ACM JOURNAL OF DATA AND INFORMATION QUALITY, 13(3). https://doi.org/10.1145/3428154

Schatz, K., Melo-Filho, C., Tropsha, A., & Chirkova, R. (2021). Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 3709–3716. https://doi.org/10.1109/BigData52589.2021.9672006

Moon, C., Jin, C., Dong, X., Abrar, S., Zheng, W., Chirkova, R. Y., & Tropsha, A. (2021). Original Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses. JOURNAL OF BIOMEDICAL INFORMATICS, 119. https://doi.org/10.1016/j.jbi.2021.103838

Ao, J., Dinakaran, S., Yang, H., Wright, D., & Chirkova, R. (2021). Trustworthy Knowledge Graph Population From Texts for Domain Query Answering. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 4590–4599. https://doi.org/10.1109/BigData52589.2021.9671514

Afrati, F., & Chirkova, R. (2019). Answering queries using views. San Rafael, CA: Morgan & Claypool Publishers.

Jiang, J., Chirkova, R., Doyle, J., & Rosenthal, A. (2018). Poster: Towards Greater Expressiveness, Flexibility, and Uniformity in Access Control. SACMAT'18: PROCEEDINGS OF THE 23RD ACM SYMPOSIUM ON ACCESS CONTROL MODELS & TECHNOLOGIES, pp. 217–219. https://doi.org/10.1145/3205977.3208950

Chen, L., Yu, T., & Chirkova, R. (2017). Differentially Private K-Skyband Query Answering Through Adaptive Spatial Decomposition. In Data and Applications Security and Privacy XXXI (pp. 142–163). https://doi.org/10.1007/978-3-319-61176-1_8

Tan, R., Chirkova, R., Gadepally, V., & Mattson, T. G. (2017). Enabling query processing across heterogeneous data models: A survey. 2017 IEEE International Conference on Big Data (Big Data), 3211–3220. https://doi.org/10.1109/bigdata.2017.8258302

Chirkova, R., & Yu, T. (2017). Exact Detection of Information Leakage: Decidability and Complexity. TRANSACTIONS ON LARGE-SCALE DATA- AND KNOWLEDGE-CENTERED SYSTEMS XXXII, Vol. 10420, pp. 1–23. https://doi.org/10.1007/978-3-662-55608-5_1

Chirkova, R. (2016). Combined-semantics equivalence of conjunctive queries: Decidability and tractability results. Journal of Computer and System Sciences, 82(3), 395–465. https://doi.org/10.1016/J.JCSS.2015.11.001

Harenberg, S., Seay, R. G., Bello, G. A., Chirkova, R. Y., Doraiswamy, P. M., & Samatova, N. F. (2016). Knowledge-Guided Maximal Clique Enumeration. In Advanced Data Mining and Applications (pp. 604–618). https://doi.org/10.1007/978-3-319-49586-6_43

Chen, L., Yu, T., & Chirkova, R. (2016). Privacy-Preserving Two-Party Skyline Queries Over Horizontally Partitioned Data. INFORMATION SECURITY THEORY AND PRACTICE, WISTP 2016, Vol. 9895, pp. 187–203. https://doi.org/10.1007/978-3-319-45931-8_12

Lauren, B., & Pigg, S. (2016). Toward entrepreneurial pedagogies: rethinking professional networking as knowledge making. 2016 ieee international professional communication conference (ipcc). https://doi.org/10.1109/ipcc.2016.7740535

Alborzi, F., Chirkova, R., Doyle, J., & Fathi, Y. (2015). Determining Query Readiness for Structured Data. In Big Data Analytics and Knowledge Discovery (Vol. 9263, pp. 3–14). https://doi.org/10.1007/978-3-319-22729-0_1

Alborzi, F., Chirkova, R., Doyle, J., & Fathi, Y. (2015). Determining query readiness for structured data. Big data analytics and knowledge discovery, 9263, 3–14.

Alborzi, F., Chirkova, R., & Yu, T. (2015). Exact Detection of Information Leakage in Database Access Control. BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY, Vol. 9263, pp. 403–415. https://doi.org/10.1007/978-3-319-22729-0_31

Chirkova, R. (2014). Combined-Semantics Equivalence and Minimization of Conjunctive Queries. COMPUTER JOURNAL, 57(5), 775–795. https://doi.org/10.1093/comjnl/bxt032

Asgharzadeh Talebi, Z., Chirkova, R., & Fathi, Y. (2013). An integer programming approach for the view and index selection problem. Data & Knowledge Engineering, 83, 111–125. https://doi.org/10.1016/j.datak.2012.11.001

Chen, D., Chirkova, R., Sadri, F., & Salo, T. J. (2013). Query optimization in information integration. Acta Informatica, 50(4), 257–287. https://doi.org/10.1007/S00236-013-0179-1

Huang, R., Chirkova, R., & Fathi, Y. (2013). Two-Stage Stochastic View Selection for Data-Analysis Queries. In Advances in Intelligent Systems and Computing (pp. 115–123). https://doi.org/10.1007/978-3-642-32741-4_11

Huang, R., Chirkova, R., & Fathi, Y. (2012). Deterministic View Selection for Data-Analysis Queries: Properties and Algorithms. In Advances in Databases and Information Systems (pp. 195–208). https://doi.org/10.1007/978-3-642-33074-2_15

Chirkova, R., & Yang, J. (2012). Materialized views. Boston, [Massachusetts]: now Pub.

Chirkova, R., Libkin, L., & Reutter, J. L. (2012). Tractable XML data exchange via relations. FRONTIERS OF COMPUTER SCIENCE, 6(3), 243–263. https://doi.org/10.1007/s11704-012-2023-0

Afrati, F., & Chirkova, R. (2011). Selecting and using views to compute aggregate queries. Journal of Computer and System Sciences, 77(6), 1079–1107. https://doi.org/10.1016/j.jcss.2010.10.003

Afrati, F., Chandrachud, M., Chirkova, R., & Mitra, P. (2009). Approximate Rewriting of Queries Using Views. In Advances in Databases and Information Systems (pp. 164–178). https://doi.org/10.1007/978-3-642-03973-7_13

Chen, D., Chirkova, R., & Sadri, F. (2009). Query optimization using restructured views: Theory and experiments. INFORMATION SYSTEMS, 34(3), 353–370. https://doi.org/10.1016/j.is.2008.10.002

Kormilitsin, M., Chirkova, R., Fathi, Y., & Stallmann, M. (2009). Systematic Exploration of Efficient Query Plans for Automated Database Restructuring. In Advances in Databases and Information Systems (pp. 133–148). https://doi.org/10.1007/978-3-642-03973-7_11

Gou, G., & Chirkova, R. (2007). [Review of Efficiently querying large XML data repositories: A survey]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 19(10), 1381–1403. https://doi.org/10.1109/tkde.2007.1060

Afrati, F., Chirkova, R., Gergatsoulis, M., & Pavlaki, V. (2007). View selection for real conjunctive queries. ACTA INFORMATICA, 44(5), 289–321. https://doi.org/10.1007/s00236-007-0046-z

Chirkova, R., Li, C., & Li, J. (2006). Answering queries using materialized views with minimum size. VLDB JOURNAL, 15(3), 191–210. https://doi.org/10.1007/s00778-005-0162-8

Afrati, F., Chirkova, R., Gergatsoulis, M., & Pavlaki, V. (2006). Finding equivalent rewritings in the presence of arithmetic comparisons. In Advances in database technology :
EDBT 2006 : 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006: Proceedings (Lecture notes in computer science; 3896) (Vol. 3896, pp. 942–960). https://doi.org/10.1007/11687238_55

Li, J., Talebi, Z. A., Chirkova, R., & Fathi, Y. (2005). A Formal Model for the Problem of View Selection for Aggregate Queries. In Advances in Databases and Information Systems (pp. 125–138). https://doi.org/10.1007/11547686_10

Afrati, F., Chirkova, R., Gupta, S., & Loftis, C. (2005). Designing and using views to improve performance of aggregate queries (extended abstract). In B. C. O. L. Zhou & X. Meng (Eds.), Database systems for advanced applications: 10th international conference, DASFAA 2005, Beijing, China, April 17-20, 2005: Proceedings (Lecture notes in computer science ; 3454) (Vol. 3453, pp. 548–554). https://doi.org/10.1007/11408079_48

Afrati, F., Chirkova, R., Gergatsoulis, M., & Pavlaki, V. (2005). Designing views to efficiently answer real SQL queries. In J-D. Zucker & L. Saitta (Eds.), Abstraction, reformulation and approximation: 6th international symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005: proceedings
(Lecture notes in computer science, Lecture notes in artificial intelligence; 3607) (Vol. 3607, pp. 332–346). https://doi.org/10.1007/11527862_26

Afrati, F., & Chirkova, R. (2005). Selecting and using views to compute aggregate queries (extended abstract). In T. Eiter & L. Libkin (Eds.), Database theory: ICDT 2005, 10th international conference, Edinburgh, UK, January 5-7, 2005: Proceedings (Lecture notes in computer science ; 3363) (Vol. 3363, pp. 383–397). https://doi.org/10.1007/978-3-540-30570-5_26

Petrie, C., Genesereth, M., Bjornsson, H., Chirkova, R., Ekstrom, M., Gomi, H., … Mohsin, W. (2004). Adding AI to Web Services. In Agent-Mediated Knowledge Management (pp. 322–338). https://doi.org/10.1007/978-3-540-24612-1_23

Bilgin, A. S., Chirkova, R. Y., Salo, T. J., & Singh, M. P. (2004). Deriving efficient SQL sequences via read-aheads. Lecture Notes in Computer Science, 3181, 299–308. https://doi.org/10.1007/978-3-540-30076-2_30

Shah, A., & Chirkova, R. (2003). Improving query performance using materialized XML views: A learning-based approach. In Conceptual modeling for novel application domains: ER 2003 workshops ECOMO, IWCMQ, AOIS, and XSDM, Chicago, IL, USA, October
13, 2003: proceedings / Manfred Jeusfeld;  Oscar Pastor (eds.). New York: Springer-Verlag, 2003. (Lecture notes in computer science ; 2814). (Vol. 2814, pp. 297–310). https://doi.org/10.1007/978-3-540-39597-3_30