Year |
Citation |
Score |
2019 |
Srivastava A, Adusumilli R, Boyce H, Garijo D, Ratnakar V, Mayani R, Yu T, Machiraju R, Gil Y, Mallick P. Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 208-219. PMID 30864323 |
0.302 |
|
2019 |
Gil Y, Srivastava B, Chen C, Seneviratne O. Reflections on Successful Research in Artificial Intelligence: An Interview with Yolanda Gil Ai Magazine. 40: 6-8. DOI: 10.1609/Aimag.V40I4.5186 |
0.311 |
|
2018 |
Gundersen OE, Gil Y, Aha DW. On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications Ai Magazine. 39: 56-68. DOI: 10.1609/Aimag.V39I3.2816 |
0.35 |
|
2017 |
Garijo D, Gil Y, Corcho O. Abstract, link, publish, exploit: An end to end framework for workflow sharing Future Generation Computer Systems. 75: 271-283. DOI: 10.1016/J.Future.2017.01.008 |
0.435 |
|
2017 |
Sethi RJ, Gil Y. Scientific workflows in data analysis: Bridging expertise across multiple domains Future Generation Computer Systems. 75: 256-270. DOI: 10.1016/J.Future.2017.01.001 |
0.372 |
|
2017 |
Essawy BT, Goodall JL, Xu H, Gil Y. Evaluation of the OntoSoft Ontology for describing metadata for legacy hydrologic modeling software Environmental Modelling & Software. 92: 317-329. DOI: 10.1016/J.Envsoft.2017.01.024 |
0.371 |
|
2016 |
Stodden V, McNutt M, Bailey DH, Deelman E, Gil Y, Hanson B, Heroux MA, Ioannidis JP, Taufer M. Enhancing reproducibility for computational methods. Science (New York, N.Y.). 354: 1240-1241. PMID 27940837 DOI: 10.1126/Science.Aah6168 |
0.374 |
|
2016 |
David CH, Gil Y, Duffy CJ, Peckham SD, Venayagamoorthy SK. An introduction to the special issue on Geoscience Papers of the Future Earth and Space Science. 3: 441-444. DOI: 10.1002/2016Ea000201 |
0.389 |
|
2016 |
Gil Y, David CH, Demir I, Essawy BT, Fulweiler RW, Goodall JL, Karlstrom L, Lee H, Mills HJ, Oh J, Pierce SA, Pope A, Tzeng MW, Villamizar SR, Yu X. Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance Earth and Space Science. 3: 388-415. DOI: 10.1002/2015Ea000136 |
0.401 |
|
2015 |
Zheng CL, Ratnakar V, Gil Y, McWeeney SK. Use of semantic workflows to enhance transparency and reproducibility in clinical omics. Genome Medicine. 7: 73. PMID 26289940 DOI: 10.1186/S13073-015-0202-Y |
0.332 |
|
2015 |
Albrecht SV, Barreto AMS, Braziunas D, Buckeridge DL, Cuayáhuitl H, Dethlefs N, Endres M, Farahmand A, Fox M, Frommberger L, Ganzfried S, Gil Y, Guillet S, Hunter LE, Jhala A, et al. Reports of the AAAI 2014 Conference Workshops Ai Magazine. 36: 87. DOI: 10.1609/Aimag.V36I1.2575 |
0.378 |
|
2015 |
Gil Y. Human tutorial instruction in the raw Transactions On Interactive Intelligent Systems. 5. DOI: 10.1145/2531920 |
0.339 |
|
2015 |
Yu X, Duffy C, Gil Y, Leonard L, Bhatt G, Thomas E. Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory Ieee Systems Journal. DOI: 10.1109/Jsyst.2015.2484219 |
0.364 |
|
2015 |
Gil Y, Tröncy R. Special Issue of the Journal of Web Semantics on Geospatial Semantics Journal of Web Semantics. 35: 1-2. DOI: 10.1016/J.Websem.2015.11.002 |
0.327 |
|
2014 |
Gil Y, Greaves M, Hendler J, Hirsh H. Artificial Intelligence. Amplify scientific discovery with artificial intelligence. Science (New York, N.Y.). 346: 171-2. PMID 25301606 DOI: 10.1126/Science.1259439 |
0.378 |
|
2014 |
Goodman A, Pepe A, Blocker AW, Borgman CL, Cranmer K, Crosas M, Di Stefano R, Gil Y, Groth P, Hedstrom M, Hogg DW, Kashyap V, Mahabal A, Siemiginowska A, Slavkovic A. Ten Simple Rules for the Care and Feeding of Scientific Data Plos Computational Biology. 10. PMID 24763340 DOI: 10.1371/Journal.Pcbi.1003542 |
0.306 |
|
2014 |
Burns GAPC, Gil Y, Villanueva-Rosales N, Liu Y, Risi S, Lehman J, Clune J, Lebiere C, Rosenbloom PS, Van Harmelen F, Hendler JA, Hitzler P, Janowicz K, Swarup S. Reports on the 2013 AAAI fall symposium series Ai Magazine. 35: 69-74. DOI: 10.1609/Aimag.V35I2.2538 |
0.326 |
|
2014 |
Garijo D, Gil Y, Corcho O. Towards workflow ecosystems through semantic and standard representations Proceedings of Works 2014: the 9th Workshop On Workflows in Support of Large-Scale Science - Held in Conjunction With Sc 2014: the International Conference For High Performance Computing, Networking, Storage and Analysis. 94-104. DOI: 10.1109/WORKS.2014.13 |
0.3 |
|
2014 |
Bergmann R, Gil Y. Similarity assessment and efficient retrieval of semantic workflows Information Systems. 40: 115-127. DOI: 10.1016/J.Is.2012.07.005 |
0.372 |
|
2014 |
Garijo D, Alper P, Belhajjame K, Corcho O, Gil Y, Goble C. Common motifs in scientific workflows: An empirical analysis Future Generation Computer Systems. 36: 338-351. DOI: 10.1016/J.Future.2013.09.018 |
0.421 |
|
2014 |
Gil Y. Intelligent workflow systems and provenance-aware software Proceedings - 7th International Congress On Environmental Modelling and Software: Bold Visions For Environmental Modeling, Iemss 2014. 1: 91-98. |
0.338 |
|
2013 |
Garijo D, Kinnings S, Xie L, Xie L, Zhang Y, Bourne PE, Gil Y. Quantifying reproducibility in computational biology: the case of the tuberculosis drugome. Plos One. 8: e80278. PMID 24312207 DOI: 10.1371/Journal.Pone.0080278 |
0.435 |
|
2013 |
Bolukbasi B, Berente N, Cutcher-Gershenfeld J, Dechurch L, Flint C, Haberman M, King JL, Knight E, Lawrence B, Masella E, McElroy C, Mittleman B, Nolan M, Radik M, Shin N, ... ... Gil Y, et al. Open data: crediting a culture of cooperation. Science (New York, N.Y.). 342: 1041-2. PMID 24288316 DOI: 10.1126/Science.342.6162.1041-B |
0.374 |
|
2013 |
Dogan RI, Gil Y, Hirsh H, Krishnan NC, Lewis M, Mericli C, Rashidi P, Raskin V, Swarup S, Sun W, Taylor JM, Yeganova L. Reports on the 2012 AAAI fall symposium series Ai Magazine. 34: 93-100. DOI: 10.1609/Aimag.V34I1.2457 |
0.339 |
|
2012 |
Groth P, Gil Y, Cheney J, Miles S. Requirements for Provenance on the Web International Journal of Digital Curation. 7: 39-56. DOI: 10.2218/Ijdc.V7I1.213 |
0.369 |
|
2012 |
Gil Y, Ratnakar V, Chklovski T, Groth P, Vrandecic D. Capturing common knowledge about tasks: Intelligent assistance for to-do lists Transactions On Interactive Intelligent Systems. 2. DOI: 10.1145/2362394.2362397 |
0.374 |
|
2012 |
Duffy C, Gil Y, Deelman E, Marru S, Pierce M, Demir I, Wiener G. Designing a road map for geoscience workflows Eos. 93: 225-226. DOI: 10.1029/2012Eo240002 |
0.372 |
|
2011 |
Gil Y, Ratnakar V, Kim J, González-Calero P, Groth P, Moody J, Deelman E. Wings: Intelligent workflow-based design of computational experiments Ieee Intelligent Systems. 26: 62-72. DOI: 10.1109/Mis.2010.9 |
0.312 |
|
2011 |
Gil Y, González-Calero PA, Kim J, Moody J, Ratnakar V. A semantic framework for automatic generation of computational workflows using distributed data and component catalogues Journal of Experimental & Theoretical Artificial Intelligence. 23: 389-467. DOI: 10.1080/0952813X.2010.490962 |
0.411 |
|
2011 |
Gil Y. Interactive knowledge capture in the new millennium: How the Semantic Web changed Knowledge Engineering Review. 26: 45-51. DOI: 10.1017/S0269888910000408 |
0.425 |
|
2011 |
Vrandečić D, Ratnakar V, Krötzsch M, Gil Y. Shortipedia aggregating and curating Semantic Web data Journal of Web Semantics. 9: 334-338. DOI: 10.1016/J.Websem.2011.06.006 |
0.367 |
|
2011 |
Gil Y, Groth P. Using provenance in the Semantic Web Journal of Web Semantics. 9: 147-148. DOI: 10.1016/J.Websem.2011.05.005 |
0.377 |
|
2011 |
Moreau L, Clifford B, Freire J, Futrelle J, Gil Y, Groth P, Kwasnikowska N, Miles S, Missier P, Myers J, Plale B, Simmhan Y, Stephan E, Den Bussche JV. The Open Provenance Model core specification (v1.1) Future Generation Computer Systems. 27: 743-756. DOI: 10.1016/J.Future.2010.07.005 |
0.333 |
|
2010 |
Kumar VS, Kurc T, Ratnakar V, Kim J, Mehta G, Vahi K, Nelson YL, Sadayappan P, Deelman E, Gil Y, Hall M, Saltz J. Parameterized Specification, Configuration and Execution of Data-Intensive Scientific Workflows. Cluster Computing. 13: 315-333. PMID 22623878 DOI: 10.1007/S10586-010-0133-8 |
0.336 |
|
2010 |
Kim J, Gil Y, Spraragen M. Principles for interactive acquisition and validation of workflows Journal of Experimental and Theoretical Artificial Intelligence. 22: 103-134. DOI: 10.1080/09528130902823698 |
0.413 |
|
2009 |
Gil Y. From data to knowledge to discoveries: Artificial intelligence and scientific workflows Scientific Programming. 17: 231-246. DOI: 10.1155/2009/167604 |
0.439 |
|
2009 |
Groth P, Gil Y. Analyzing the gap between workflows and their natural language descriptions Services 2009 - 5th 2009 World Congress On Services. 299-305. DOI: 10.1109/SERVICES-I.2009.55 |
0.301 |
|
2009 |
Groth P, Miles S, Modgil S, Oren N, Luck M, Gil Y. Determining the trustworthiness of new electronic contracts Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5881: 132-147. DOI: 10.1007/978-3-642-10203-5_12 |
0.349 |
|
2008 |
Woollard D, Medvidovic N, Gil Y, Mattmann CA. Scientific software as workflows: From discovery to distribution Ieee Software. 25: 37-43. DOI: 10.1109/Ms.2008.92 |
0.383 |
|
2008 |
Kim J, Deelman E, Gil Y, Mehta G, Ratnakar V. Provenance trails in the Wings/Pegasus system Concurrency Computation Practice and Experience. 20: 587-597. DOI: 10.1002/Cpe.V20:5 |
0.412 |
|
2007 |
Gil Y, Deelman E, Ellisman M, Fahringer T, Fox G, Gannon D, Goble C, Livny M, Moreau L, Myers J. Examining the challenges of scientific workflows Computer. 40: 24-32. DOI: 10.1109/Mc.2007.421 |
0.358 |
|
2007 |
Gil Y, Artz D. Towards content trust of web resources Web Semantics. 5: 227-239. DOI: 10.1016/J.Websem.2007.09.005 |
0.382 |
|
2007 |
Artz D, Gil Y. A survey of trust in computer science and the Semantic Web Web Semantics. 5: 58-71. DOI: 10.1016/J.Websem.2007.03.002 |
0.398 |
|
2007 |
Kim J, Gil Y. Incorporating tutoring principles into interactive knowledge acquisition International Journal of Human Computer Studies. 65: 852-872. DOI: 10.1016/J.Ijhcs.2007.06.003 |
0.38 |
|
2007 |
Gil Y. Workflow composition: Semantic representations for flexible automation Workflows For E-Science: Scientific Workflows For Grids. 244-257. DOI: 10.1007/978-1-84628-757-2_16 |
0.318 |
|
2006 |
Gil Y. On agents and grids: Creating the fabric for a new generation of distributed intelligent systems Web Semantics. 4: 116-123. DOI: 10.1016/J.Websem.2006.03.002 |
0.397 |
|
2005 |
Gil Y. Description logics and planning Ai Magazine. 26: 73-84. DOI: 10.1609/Aimag.V26I2.1814 |
0.34 |
|
2005 |
Deelman E, Singh G, Su M, Blythe J, Gil Y, Kesselman C, Mehta G, Vahi K, Berriman GB, Good J, Laity A, Jacob JC, Katz DS. Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems Scientific Programming. 13: 219-237. DOI: 10.1155/2005/128026 |
0.36 |
|
2005 |
Chklovski T, Gil Y. Improving the design of intelligent acquisition interfaces for collecting world knowledge from web contributors Proceedings of the 3rd International Conference On Knowledge Capture, K-Cap'05. 35-42. DOI: 10.1145/1088622.1088630 |
0.301 |
|
2005 |
Chklovski T, Gil Y. An analysis of knowledge collected from volunteer contributors Proceedings of the National Conference On Artificial Intelligence. 2: 564-570. |
0.303 |
|
2004 |
Blythe J, Deelman E, Gil Y. Automatically composed workflows for grid environments Ieee Intelligent Systems. 19: 16-23. DOI: 10.1109/Mis.2004.24 |
0.402 |
|
2004 |
Gil Y, Deelman E, Blythe J, Kesselman C, Tangmunarunkit H. Artificial Intelligence and Grids: Workflow Planning and Beyond Ieee Intelligent Systems. 19: 26-33+25. DOI: 10.1109/Mis.2004.1265882 |
0.375 |
|
2004 |
Bada M, Stevens R, Goble C, Gil Y, Ashburner M, Blake JA, Cherry JM, Harris M, Lewis S. A short study on the success of the Gene Ontology Web Semantics. 1: 235-240. DOI: 10.1016/J.Websem.2003.12.003 |
0.345 |
|
2004 |
Deelman E, Blythe J, Gil Y, Kesselman C, Mehta G, Patil S, Su M, Vahi K, Livny M. Pegasus: Mapping Scientific Workflows onto the Grid Lecture Notes in Computer Science. 11-20. DOI: 10.1007/978-3-540-28642-4_2 |
0.334 |
|
2004 |
Kim J, Spraragen M, Gil Y. An intelligent assistant for interactive workflow composition International Conference On Intelligent User Interfaces, Proceedings Iui. 125-131. |
0.318 |
|
2004 |
Blythe J, Deelman E, Gil Y. Planning and metadata on the computational grid Aaai Spring Symposium - Technical Report. 6: 21-28. |
0.306 |
|
2003 |
Deelman E, Blythe J, Gil Y, Kesselman C, Mehta G, Vahi K, Blackburn K, Lazzarini A, Arbree A, Cavanaugh R, Koranda S. Mapping abstract complex workflows onto grid environments Journal of Grid Computing. 1: 25-39. DOI: 10.1023/A:1024000426962 |
0.366 |
|
2002 |
Gil Y, Musen M, Shavlik J. Report on the first international conference on knowledge capture (K-CAP) Ai Magazine. 23: 107-108. DOI: 10.1609/Aimag.V23I4.1676 |
0.425 |
|
2002 |
Chalupsky H, Gil Y, Knoblock CA, Lerman K, Oh J, Pynadath DV, Russ TA, Tambe M. ELECTRIC ELVES Agent Technology for Supporting Human Organizations Ai Magazine. 23: 11-24. DOI: 10.1609/Aimag.V23I2.1637 |
0.329 |
|
2001 |
Lesperance Y, Wagnerg G, Birmingham W, Bollacker K, Nareyek A, Walser JP, Aha D, Finin T, Grosof B, Japkowicz N, Holte R, Getoor L, Gomes CP, Hoos HH, Schultz AC, ... ... Gil Y, et al. AAAI 2000 workshop reports Ai Magazine. 22: 127-135. DOI: 10.1609/Aimag.V22I1.1552 |
0.388 |
|
2001 |
Tallis M, Kim J, Gil Y. User studies of knowledge acquisition tools: Methodology and lessons learned Journal of Experimental and Theoretical Artificial Intelligence. 13: 359-378. DOI: 10.1080/09528130110100261 |
0.669 |
|
2001 |
Blythe J, Kim J, Ramachandran S, Gil Y. An integrated environment for knowledge acquisition International Conference On Intelligent User Interfaces, Proceedings Iui. 13-20. |
0.314 |
|
1996 |
Gil Y, Sen S, Kohane I, Olivier P, Nakata K, Eugenio BD, Green N, Dean T, Hearst M, Nourbakhsh IR. The 1996 AAAI Spring Symposia Reports Ai Magazine. 17: 109. DOI: 10.1609/Aimag.V17I2.1227 |
0.382 |
|
1994 |
Gil Y, Paris C. Towards method-independent knowledge acquisition Knowledge Acquisition. 6: 163-178. DOI: 10.1006/Knac.1994.1009 |
0.413 |
|
1991 |
Carbonell J, Etzioni O, Gil Y, Joseph R, Knoblock C, Minton S, Veloso M. PRODIGY Acm Sigart Bulletin. 2: 51-55. DOI: 10.1145/122344.122353 |
0.38 |
|
1990 |
Carbonell JG, Gil Y. Learning by experimentation: the operator refinement method Machine Learning. 191-213. DOI: 10.1016/B978-0-08-051055-2.50013-4 |
0.368 |
|
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