D. Magnanimi, A. Colombo, L. Bellomarini, A. Bernasconi, S. Ceri, D. Martinenghi,
Enabling Light-Weight Reasoning via Cypher Triggers,
ICDE 2025, pp. 4277-4290, 2025.
P. Ciaccia, D. Martinenghi,
Directional Queries: Making Top-k Queries More Effective in Discovering Relevant Results,
SIGMOD 2025, Proc. ACM Manag. Data 2(6), 2024.
S. Ceri, A. Bernasconi, A. Gagliardi, D. Martinenghi, L. Bellomarini and D. Magnanimi.
PG-Triggers: Triggers for Property Graphs,
SIGMOD 2024, pp. 373-385, 2024.
D. Magnanimi, L. Bellomarini, S. Ceri, D. Martinenghi,
Reactive Company Control in Company Knowledge Graphs,
ICDE 2023, pp. 3336–3348.
Best paper award - Industry and Applications Track.
P. Ciaccia, D. Martinenghi, R. Torlone,
Preference Queries over Taxonomic Domains,
VLDB 2021, PVLDB 14(10): 1859-1871, 2021.
P. Ciaccia, D. Martinenghi,
Flexible Skylines: Dominance for Arbitrary Sets of Monotone Functions,
ACM TODS, 45(4): 18:1-18:43, 2020.
P. Ciaccia, D. Martinenghi, R. Torlone,
Foundations of Context-Aware Preference Propagation,
Journal of the ACM 67(1): 4:1-4:43, 2020.
P. Pinoli, S. Ceri, D. Martinenghi, L. Nanni:
Metadata management for scientific databases. Inf. Syst. 81: 1-20, 2019.
P. Ciaccia, D. Martinenghi,
Reconciling Skyline and Ranking Queries,
VLDB 2017, PVLDB 10(11): 1454-1465, 2017.
I. Catallo, S. Coniglio, P. Fraternali, D. Martinenghi,
A workload-dependent task assignment policy for crowdsourcing,
World Wide Web 20(6): 1179-1210, 2017.
E. Ciceri, P. Fraternali, D. Martinenghi, M. Tagliasacchi,
Crowdsourcing for Top-K Query Processing over Uncertain Data,
IEEE TKDE 28(1): 41-53, 2016.
D. Martinenghi, R. Torlone,
Taxonomy-based Relaxation of Query Answering in Relational Databases,
VLDB Journal, 23(5): 747-769, 2014.
I. Catallo, E. Ciceri, P. Fraternali, D. Martinenghi, M. Tagliasacchi,
Top-k Diversity Queries over Bounded Regions,
ACM TODS 38(2), October 2013.
P. Fraternali, D. Martinenghi, M. Tagliasacchi,
Top-k bounded diversification,
SIGMOD 2012, pp. 421-432, 2012.
D. Martinenghi, M. Tagliasacchi,
Proximity measures for rank join,
ACM TODS 37(1), February 2012.
D. Martinenghi, M. Tagliasacchi,
Cost-Aware Rank Join with Random and Sorted Access,
IEEE TKDE 24(12), December 2012, pp. 2143-2155.
M. A.Soliman, I. F. Ilyas, D. Martinenghi, M. Tagliasacchi,
Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures,
SIGMOD 2011, pp. 805-816, 2011.
H. Decker, D. Martinenghi,
Inconsistency-tolerant Integrity Checking,
IEEE TKDE 23(2): 218-234, 2011.
D. Martinenghi, M. Tagliasacchi,
Proximity Rank Join,
VLDB 2010, PVLDB 3(1): 352-363, 2010.
D. Braga, S. Ceri, F. Daniel, D. Martinenghi,
Optimization of Multi-Domain Queries on the Web,
VLDB 2008, PVLDB 1(1): 562-573, 2008.
A. Calì, D. Martinenghi,
Querying Data under Access Limitations,
ICDE 2008, pp. 50-59.
Seminars
Finding the best objects in large datasets, EURECOM, France, June 28, 2024.
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Flexible Score Aggregation, Free University of Bozen-Bolzano, Italy, November 12, 2018.
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Skylines and Ranking Queries: a Reconciliation, Università Roma Tre, Rome, Italy, April 28, 2017.
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Reducing Uncertainty in Top-K Queries,, University of Trento, Italy, November 21, 2013.
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Humans Fighting Uncertainty in Top-K Scenarios, Università Roma Tre, Rome, Italy, July 9, 2013.
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Ranking and queries: as good as it gets, University of Lugano, Switzerland, July 5, 2012.
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Ranking with uncertain scoring functions, Oxford University, UK, May 17, 2011.
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Query Optimization in the Deep Web, Università Roma Tre, Rome, Italy, June 10, 2010.
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