Stebėti
Lissandrini Matteo
Lissandrini Matteo
Associate Professor, University of Verona
Patvirtintas el. paštas univr.it - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Exemplar queries: Give me an example of what you need
D Mottin, M Lissandrini, Y Velegrakis, T Palpanas
Proceedings of the VLDB Endowment 7 (5), 365-376, 2014
1132014
Exemplar queries: a new way of searching
D Mottin, M Lissandrini, Y Velegrakis, T Palpanas
The VLDB Journal 25, 741-765, 2016
702016
Beyond macrobenchmarks: microbenchmark-based graph database evaluation
M Lissandrini, M Brugnara, Y Velegrakis
Proceedings of the VLDB Endowment 12 (4), 390-403, 2018
552018
New trends on exploratory methods for data analytics
D Mottin, M Lissandrini, Y Velegrakis, T Palpanas
Proceedings of the VLDB Endowment 10 (12), 1977-1980, 2017
482017
Large Language Models and Knowledge Graphs: Opportunities and Challenges
JZ Pan, S Razniewski, JC Kalo, S Singhania, J Chen, S Dietze, H Jabeen, ...
arXiv preprint arXiv:2308.06374, 2023
452023
Graph-query suggestions for knowledge graph exploration
M Lissandrini, D Mottin, T Palpanas, Y Velegrakis
Proceedings of The Web Conference 2020, 2549-2555, 2020
402020
Data Exploration Using Example-Based Methods
M Lissandrini, D Mottin, T Palpanas, Y Velegrakis
Synthesis Lectures on Data Management 10 (4), 1-164, 2018
332018
SHACL and ShEx in the Wild: A Community Survey on Validating Shapes Generation and Adoption
K Rabbani, M Lissandrini, K Hose
Companion Proceedings of the Web Conference 2022, 260-263, 2022
312022
Knowledge Graph Exploration Systems: are we lost?
M Lissandrini, D Mottin, K Hose, TB Pedersen
CIDR, 2022
302022
Knowledge graph exploration: where are we and where are we going?
M Lissandrini, TB Pedersen, K Hose, D Mottin
ACM SIGWEB Newsletter 2020 (Summer), 1-8, 2020
272020
LSQB: a large-scale subgraph query benchmark
A Mhedhbi, M Lissandrini, L Kuiper, J Waudby, G Szárnyas
Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data …, 2021
242021
Multi-example search in rich information graphs
M Lissandrini, D Mottin, T Palpanas, Y Velegrakis
2018 IEEE 34th International Conference on Data Engineering (ICDE), 809-820, 2018
242018
Unleashing the power of information graphs
M Lissandrini, D Mottin, T Palpanas, D Papadimitriou, Y Velegrakis
ACM SIGMOD Record 43 (4), 21-26, 2015
202015
Extraction of Validating Shapes from very large Knowledge Graphs
K Rabbani, M Lissandrini, K Hose
Proceedings of the VLDB Endowment, (VLDB 2023) 16 (5), 1023-1032, 2023
192023
Searching with xq: the exemplar query search engine
D Mottin, M Lissandrini, Y Velegrakis, T Palpanas
Proceedings of the 2014 ACM SIGMOD International Conference on Management of …, 2014
192014
A core ontology for modeling life cycle sustainability assessment on the Semantic Web
A Ghose, M Lissandrini, ER Hansen, BP Weidema
Journal of Industrial Ecology 26 (3), 731-747, 2022
172022
A design space for RDF data representations
T Sagi, M Lissandrini, TB Pedersen, K Hose
The VLDB Journal 31 (2), 347-373, 2022
172022
Data citation and the citation graph
P Buneman, D Dosso, M Lissandrini, G Silvello
Quantitative Science Studies 2 (4), 1399-1422, 2021
172021
Optimizing SPARQL Queries using Shape Statistics
K Rabbani, M Lissandrini, K Hose
Proceedings of the 24th International Conference on Extending Database …, 2021
162021
Transparent integration and sharing of life cycle sustainability data with provenance
ER Hansen, M Lissandrini, A Ghose, S Løkke, C Thomsen, K Hose
International Semantic Web Conference, 378-394, 2020
162020
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Straipsniai 1–20