| When a filter makes the difference in continuously answering sparql queries on streaming and quasi-static linked data S Zahmatkesh, E Della Valle, D Dell’Aglio Web Engineering: 16th International Conference, ICWE 2016, Lugano …, 2016 | 12 | 2016 |
| Towards a top-K SPARQL query benchmark generator S Zahmatkesh, E Della Valle, D Dell'Aglio, A Bozzon Proceedings of the 3rd International Workshop on Ordering and Reasoning Co …, 2014 | 5 | 2014 |
| Using rank aggregation in continuously answering SPARQL queries on streaming and quasi-static linked data S Zahmatkesh, ED Valle, D Dell'Aglio Proceedings of the 11th ACM International Conference on Distributed and …, 2017 | 4 | 2017 |
| A Proposesd Ontology for Effective Searching of Sharable Content Objects Emphasizing on Learning Objectives A Kardan, S Zahmatkesh 2009 Sixth International Conference on Information Technology: New …, 2009 | 4 | 2009 |
| Retrieval of the Most Relevant Combinations of Data Published in Heterogeneous Distributed Datasets on the Web. S Zahmatkesh DC@ ISWC, 48-55, 2014 | 3 | 2014 |
| A proposed structure for learning objects using ontology for effective content discovery A Kardan, S Zahmatkesh The 4th International Conference on Virtual Learning ICVL, 2009 | 3 | 2009 |
| Towards a top-k SPARQL query benchmark S Zahmatkesh, E Della Valle, D Dell'Aglio, A Bozzon Proceedings of the ISWC 2014 Posters & Demonstrations Track, a track within …, 2014 | 2 | 2014 |
| Scaling the monitoring of approximate top-k queries in streaming windows V Rampérez, S Zahmatkesh, E Della Valle 2021 IEEE International Conference on Big Data (Big Data), 181-189, 2021 | 1 | 2021 |
| Relevant Query Answering Over Streaming and Distributed Data: A Study for RDF Streams and Evolving Web Data S Zahmatkesh, E Della Valle Springer Nature, 2020 | 1 | 2020 |
| Continuous top-k approximated join of streaming and evolving distributed data S Zahmatkesh, E Della Valle Semantic Web 11 (5), 767-799, 2020 | 1 | 2020 |
| Supporting an Expert-centric Process of New Product Introduction With Statistical Machine Learning S Zahmatkesh, A Bernardo, E Falzone, EDN Carena, E Della Valle Business Information Systems, 187-198, 2021 | | 2021 |
| ACQUA: Approximate Continuous Query Answering in RSP S Zahmatkesh, E Della Valle, S Zahmatkesh, E Della Valle Relevant Query Answering over Streaming and Distributed Data: A Study for …, 2020 | | 2020 |
| Rank Aggregation in Queries with a FILTER Clause S Zahmatkesh, E Della Valle, S Zahmatkesh, E Della Valle Relevant Query Answering over Streaming and Distributed Data: A Study for …, 2020 | | 2020 |
| Handling Queries with a FILTER Clause S Zahmatkesh, E Della Valle, S Zahmatkesh, E Della Valle Relevant Query Answering over Streaming and Distributed Data: A Study for …, 2020 | | 2020 |
| Handling Top-k Queries S Zahmatkesh, E Della Valle, S Zahmatkesh, E Della Valle Relevant Query Answering over Streaming and Distributed Data: A Study for …, 2020 | | 2020 |
| On relevant query answering over streaming and distributed data S Zahmatkesh Politecnico di Milano, 2018 | | 2018 |
| Retrieval of the most relevant facts from data streams joined with slowly evolving dataset published on the Web of Data S Zahmatkesh CEUR WORKSHOP PROCEEDINGS 1962, 1-8, 2017 | | 2017 |
| Self-Managing Software Architectures: A Survey HTT Nguyen, S Zahmatkesh, L Florio, A Shahzada Self-‐Adaptive Software Systems, 9, 2013 | | 2013 |
| Applying Ontology to Enrich Metadata for Learning Objects Discovery in Distributed Repositories S Zahmatkesh, AA Kardan, A Golshan | | |
Emanuele Della VallePolitecnico di MilanoVerified email at polimi.it
