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Matteo Lissandrini

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affiliation: Aalborg University, Denmark
affiliation: University of Verona, Italy

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2020 – today

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2025
[c30]
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Martin Pekár Christensen, Aristotelis Leventidis, Matteo Lissandrini, Laura Di Rocco, Renée J. Miller, Katja Hose:
Fantastic Tables and Where to Find Them: Table Search in Semantic Data Lakes. EDBT 2025: 397-410
2024
[c29]
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Juan Manuel Rodriguez, Nima Tavassoli, Eliezer Levy, Gil Lederman, Dima Sivov, Matteo Lissandrini, Davide Mottin:
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query? ECIR (4) 2024: 161-176
[c28]
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Theis E. Jendal, Trung-Hoang Le, Hady W. Lauw, Matteo Lissandrini, Peter Dolog, Katja Hose:
Hypergraphs with Attention on Reviews for Explainable Recommendation. ECIR (1) 2024: 230-246
[c27]
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Ornella Irrera, Matteo Lissandrini, Daniele Dell'Aglio, Gianmaria Silvello:
Reproducibility and Analysis of Scientific Dataset Recommendation Methods. RecSys 2024: 570-579
[c26]
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Matteo Lissandrini, Kashif Rabbani, Katja Hose:
Mining Validating Shape for Large Knowledge Graphs via Dynamic Reservoir Sampling. SEBD 2024: 25-34
[c25]
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Ibraheem Taha, Matteo Lissandrini, Alkis Simitsis, Yannis E. Ioannidis:
A Study on Efficient Indexing for Table Search in Data Lakes. ICSC 2024: 245-252
[c24]
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Aristotelis Leventidis, Martin Pekár Christensen, Matteo Lissandrini, Laura Di Rocco, Katja Hose, Renée J. Miller:
A Large Scale Test Corpus for Semantic Table Search. SIGIR 2024: 1142-1151
[e4]
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Enrico Gallinucci, Matteo Lissandrini:
Proceedings of the 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024) co-located with the 27th International Conference on Extending Database Technology and the 27th International Conference on Database Theory (EDBT/ICDT 2024), Paestum, Italy, March 25, 2024. CEUR Workshop Proceedings 3653, CEUR-WS.org 2024 [contents]
[i6]
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  - journals/corr/abs-2408-09842
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Peter Buneman, Dennis Dosso, Matteo Lissandrini, Gianmaria Silvello, He Sun:
Can we measure the impact of a database? CoRR abs/2408.09842 (2024)
2023
[j15]
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Kashif Rabbani, Matteo Lissandrini, Katja Hose:
Extraction of Validating Shapes from very large Knowledge Graphs. Proc. VLDB Endow. 16(5): 1023-1032 (2023)
[j14]
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Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux:
Large Language Models and Knowledge Graphs: Opportunities and Challenges. TGDK 1(1): 2:1-2:38 (2023)
[j13]
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Russa Biswas, Lucie-Aimée Kaffee, Michael Cochez, Stefania Dumbrava, Theis E. Jendal, Matteo Lissandrini, Vanessa López, Eneldo Loza Mencía, Heiko Paulheim, Harald Sack, Edlira Vakaj, Gerard de Melo:
Knowledge Graph Embeddings: Open Challenges and Opportunities. TGDK 1(1): 4:1-4:32 (2023)
[j12]
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Axel Polleres, Romana Pernisch, Angela Bonifati, Daniele Dell'Aglio, Daniil Dobriy, Stefania Dumbrava, Lorena Etcheverry, Nicolas Ferranti, Katja Hose, Ernesto Jiménez-Ruiz, Matteo Lissandrini, Ansgar Scherp, Riccardo Tommasini, Johannes Wachs:
How Does Knowledge Evolve in Open Knowledge Graphs? TGDK 1(1): 11:1-11:59 (2023)
[c23]
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Matteo Lissandrini, Katja Hose, Torben Bach Pedersen:
Example-Driven Exploratory Analytics over Knowledge Graphs. EDBT 2023: 105-117
[c22]
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Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose:
GInRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs. KaRS@RecSys 2023: 80-89
[c21]
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Kashif Rabbani, Matteo Lissandrini, Katja Hose:
SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes. SIGMOD Conference Companion 2023: 151-154
[e3]
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Julia Stoyanovich, Jens Teubner, Nikos Mamoulis, Evaggelia Pitoura, Jan Mühlig, Katja Hose, Sourav S. Bhowmick, Matteo Lissandrini:
Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023. OpenProceedings.org 2023, ISBN 978-3-89318-088-2 [contents]
[d8]
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Aristotelis Leventidis, Martin Pekár Christensen, Matteo Lissandrini, Laura Di Rocco, Renée J. Miller, Katja Hose:
Semantic Table Search Dataset. Zenodo, 2023
[d7]
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Aristotelis Leventidis, Matteo Lissandrini, Laura Di Rocco, Martin Pekár Christensen, Renée J. Miller, Katja Hose:
Semantic Table Search Dataset. Zenodo, 2023
[d6]
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Kashif Rabbani, Matteo Lissandrini, Katja Hose:
Automatically Extracted SHACL Shapes for WikiData, DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics. Zenodo, 2023
[i5]
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  - journals/corr/abs-2308-06374
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Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux:
Large Language Models and Knowledge Graphs: Opportunities and Challenges. CoRR abs/2308.06374 (2023)
2022
[j11]
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  - journals/is/IqbalLP22
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Mohsin Iqbal, Matteo Lissandrini, Torben Bach Pedersen:
A foundation for spatio-textual-temporal cube analytics. Inf. Syst. 108: 102009 (2022)
[j10]
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  - journals/vldb/SagiLPH22
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Tomer Sagi, Matteo Lissandrini, Torben Bach Pedersen, Katja Hose:
A design space for RDF data representations. VLDB J. 31(2): 347-373 (2022)
[c20]
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Matteo Lissandrini, Davide Mottin, Katja Hose, Torben Bach Pedersen:
Knowledge Graph Exploration Systems: are we lost? CIDR 2022
[c19]
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Matteo Lissandrini, Tomer Sagi, Torben Bach Pedersen, Katja Hose:
Understanding RDF Data Representations in Triplestores. SEBD 2022: 93-100
[c18]
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Peter Buneman, Dennis Dosso, Matteo Lissandrini, Gianmaria Silvello:
Expanding the Citation Graph for Data Citations. SEBD 2022: 276-283
[c17]
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  - conf/www/RabbaniLH22
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Kashif Rabbani, Matteo Lissandrini, Katja Hose:
SHACL and ShEx in the Wild: A Community Survey on Validating Shapes Generation and Adoption. WWW (Companion Volume) 2022: 260-263
[d5]
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  - data/10/ChristensenLH22
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Martin Pekár Christensen, Matteo Lissandrini, Katja Hose:
DBpedia RDF2Vec Graph Embeddings. Zenodo, 2022
[d4]
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Martin Pekár Christensen, Matteo Lissandrini, Katja Hose:
DBpedia RDF2Vec Graph Embeddings. Zenodo, 2022
[d3]
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Martin Pekár Christensen, Matteo Lissandrini, Katja Hose:
DBpedia RDF2Vec Graph Embeddings. Zenodo, 2022
[d2]
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Kashif Rabbani, Matteo Lissandrini, Katja Hose:
Automatically Extracted SHACL Shapes for DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics. Zenodo, 2022
[d1]
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Kashif Rabbani, Matteo Lissandrini, Katja Hose:
Automatically Extracted SHACL Shapes for WikiData, DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics. Zenodo, 2022
[i4]
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  - journals/corr/abs-2209-04185
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Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose:
Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions. CoRR abs/2209.04185 (2022)
2021
[j9]
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  - journals/dpd/PretiLMV21
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Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis:
Mining patterns in graphs with multiple weights. Distributed Parallel Databases 39(2): 281-319 (2021)
[j8]
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Peter Buneman, Dennis Dosso, Matteo Lissandrini, Gianmaria Silvello:
Data citation and the citation graph. Quant. Sci. Stud. 2(4): 1399-1422 (2021)
[c16]
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  - conf/dolap/IqbalLP21
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Mohsin Iqbal, Matteo Lissandrini, Torben Bach Pedersen:
A Foundation for Spatio-Textual-Temporal Cube Analytics. DOLAP 2021: 11-20
[c15]
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Kashif Rabbani, Matteo Lissandrini, Katja Hose:
Optimizing SPARQL Queries using Shape Statistics. EDBT 2021: 505-510
[c14]
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  - conf/icde/ForoniLV21
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Daniele Foroni, Matteo Lissandrini, Yannis Velegrakis:
Estimating the extent of the effects of Data Quality through Observations. ICDE 2021: 1913-1918
[c13]
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  - conf/icde/ForoniLV21a
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Daniele Foroni, Matteo Lissandrini, Yannis Velegrakis:
The F4U System for Understanding the Effects of Data Quality. ICDE 2021: 2717-2720
[c12]
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  - conf/sigmod/MhedhbiLKWS21
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Amine Mhedhbi, Matteo Lissandrini, Laurens Kuiper, Jack Waudby, Gábor Szárnyas:
LSQB: a large-scale subgraph query benchmark. GRADES-NDA@SIGMOD 2021: 8:1-8:11
[c11]
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  - conf/sigmod/TroullinouKLM21
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Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin:
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs. SIGMOD Conference 2021: 2789-2793
[e2]
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  - conf/vldb/2021seadata
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Davide Mottin, Matteo Lissandrini, Senjuti Basu Roy, Yannis Velegrakis:
Proceedings of the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores (SEA-Data 2021) co-located with 47th International Conference on Very Large Data Bases (VLDB 2021), Copenhagen, Denmark, August 20, 2021. CEUR Workshop Proceedings 2929, CEUR-WS.org 2021 [contents]
[i3]
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  - journals/corr/abs-2103-06531
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Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin:
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs. CoRR abs/2103.06531 (2021)
[i2]
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  - journals/corr/abs-2106-04209
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Anders H. Brams, Anders Langballe Jakobsen, Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose:
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings. CoRR abs/2106.04209 (2021)
2020
[j7]
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Matteo Lissandrini, Torben Bach Pedersen, Katja Hose, Davide Mottin:
Knowledge graph exploration: where are we and where are we going? SIGWEB Newsl. 2020(Summer): 4:1-4:8 (2020)
[c10]
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Anders H. Brams, Anders Langballe Jakobsen, Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose:
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings. CIKM 2020: 2975-2982
[c9]
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  - conf/edbt/GalloLV20
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Denis Gallo, Matteo Lissandrini, Yannis Velegrakis:
Personalized Page Rank on Knowledge Graphs: Particle Filtering is all you need! EDBT 2020: 447-450
[c8]
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  - conf/semweb/HansenLGLTH20
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Emil Riis Hansen, Matteo Lissandrini, Agneta Ghose, Søren Løkke, Christian Thomsen, Katja Hose:
Transparent Integration and Sharing of Life Cycle Sustainability Data with Provenance. ISWC (2) 2020: 378-394
[c7]
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Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Graph-Query Suggestions for Knowledge Graph Exploration. WWW 2020: 2549-2555
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Alexandra Poulovassilis, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf, Nikos Pelekis, Chiara Renso, Yannis Theodoridis, Karine Zeitouni, Tania Cerquitelli, Silvia Chiusano, Genoveva Vargas-Solar, Behrooz Omidvar-Tehrani, Katharina Morik, Jean-Michel Renders, Donatella Firmani, Letizia Tanca, Davide Mottin, Matteo Lissandrini, Yannis Velegrakis:
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark, March 30, 2020. CEUR Workshop Proceedings 2578, CEUR-WS.org 2020 [contents]
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Mohsin Iqbal, Matteo Lissandrini, Torben Bach Pedersen:
A Foundation for Spatio-Textual-Temporal Cube Analytics (Extended Version). CoRR abs/2012.04295 (2020)

2010 – 2019

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2019
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Agneta Ghose, Katja Hose, Matteo Lissandrini, Bo Pedersen Weidema:
An Open Source Dataset and Ontology for Product Footprinting. ESWC (Satellite Events) 2019: 75-79
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Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Example-based Search: a New Frontier for Exploratory Search. SIGIR 2019: 1411-1412
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Exploring the Data Wilderness through Examples. SIGMOD Conference 2019: 2031-2035
2018
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Matteo Lissandrini:
Enabling access to and exploration of information graphs. University of Trento, Italy, 2018
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Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Data Exploration Using Example-Based Methods. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00738-5
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Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
X2Q: Your Personal Example-based Graph Explorer. Proc. VLDB Endow. 11(12): 2026-2029 (2018)
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Matteo Lissandrini, Martin Brugnara, Yannis Velegrakis:
Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation. Proc. VLDB Endow. 12(4): 390-403 (2018)
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Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis:
Beyond Frequencies: Graph Pattern Mining in Multi-weighted Graphs. EDBT 2018: 169-180
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Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Multi-Example Search in Rich Information Graphs. ICDE 2018: 809-820
2017
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
New Trends on Exploratory Methods for Data Analytics. Proc. VLDB Endow. 10(12): 1977-1980 (2017)
2016
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Exemplar queries: a new way of searching. VLDB J. 25(6): 741-765 (2016)
2014
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Exemplar Queries: Give me an Example of What You Need. Proc. VLDB Endow. 7(5): 365-376 (2014)
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Matteo Lissandrini, Davide Mottin, Themis Palpanas, Dimitra Papadimitriou, Yannis Velegrakis:
Unleashing the Power of Information Graphs. SIGMOD Rec. 43(4): 21-26 (2014)
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Searching with XQ: the exemplar query search engine. SIGMOD Conference 2014: 901-904

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