Patents

2023

Submitted patents with IBM - pending:
  • Robust Query Execution Plan Selection using Machine Learning with Predictive Uncertainties
  • Hybrid cost model for query execution plan evaluation

Publications

Most of my publications (but not all) are in DBLP.

2024

  • Austin Montgomery, Georgios Christos Tsiatsianis, Ioannis Mouratidis, Candace S. Y. Chan, Maria Athanasiou, Anastasios D. Papanastasiou, Verena Kantere, Nikos Syrigos, Ioannis Vathiotis, Konstantinos Syrigos, Nelson S. Yee, Ilias Georgakopoulos-Soares. Peptide absent sequences emerging in human cancers. European Journal of Cancer, Volume 196, 2024, 113421, ISSN 0959-8049, https://doi.org/10.1016/j.ejca.2023.113421.
  • Austin Montgomery, Georgios Christos Tsiatsianis, Ioannis Mouratidis, Candace S. Y. Chan, Maria Athanasiou, Anastasios D. Papanastasiou, Verena Kantere, Nikos Syrigos, Ioannis Vathiotis, Konstantinos Syrigos, Nelson S. Yee, Ilias Georgakopoulos-Soares. Utilizing nullomers in cell-free RNA for early cancer detection. In Nature, Cancer Gene Therapy, 1-10 (14th February 2024) doi:10.1038/s41417-024-00741-3.
  • Baoming Chang, Amin Kamali, Verena Kantere. A Novel Technique for Query Plan Representation Based on Graph Neural Nets. In the 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), 2024.
  • Le Trung Dung, Verena Kantere, Laurent D’Orazio. Form-based semantic caching on time series. In the International Conference on Computational Science and Its Applications, (ICCSA), 2024.
  • Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli. RobOpt: A Tool for Robust Workload Optimization Based on Uncertainty-Aware Machine Learning. In ACM International Conference of Special Interest Group on Management Of Data (SIGMOD) – Demo Track, 2024.
  • Amin Kamali, Verena Kantere, Calisto Zuzarte. Robust Query Optimization in the Era of Machine Learning: State-of-the-Art and Future Directions. (Tutorial) In the IEEE International Conference on Data Engineering (ICDE), 2024.
  • Amin Kamali, Verena Kantere, Calisto Zuzart, Vinecnt Corvinelli. Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model. In arXiv, arXiv:2401.15210, 2024.

2023

  • Damianos Chatziantoniou, Verena Kantere. Data-driven and On-Demand Conceptual Modeling. In the 25th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), 2023.
  • Binny M. Samuel; Damianos Chatziantoniou; Verena Kantere; Vijay Khatri. The Impact of Late-Bound Schemas on Empowered User Analytics: A Stopping Rules Perspective. In the Special Interest Group on Systems Analysis and Design (SIGSAND) Annual Symposium, 2023.
  • Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere . Early ICU Mortality Prediction with Deep Federated Learning: A Real-World Scenario. In the 35th International Conference on Scientific and Statistical Database Management, (SSDBM), 2023.
  • Athanasios Georgoutsos, Paraskevas Kerasiotis and Verena Kantere. Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions. In the International Conference on Web Information System Engineering (WISE), 2023.
  • Ning Wang, Amin Kamali, Verena Kantere, Calisto Zuzate, Vincent Corvinelli, Brandon Frendo and Steve Donoghue. A Hybrid Cost Model for Evaluating Query Execution Plans In the IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2023.
  • Verena Kantere and George Fletcher. Proceedings of the Workshops co-located with the 26th International Conference on Extending Database Technology (EDBT) and the 26th International Conference on Database Theory (ICDT), held on March 28, 2023 in Ioannina, Greece. CEUR - http://ceur-ws.org/Vol-3379.

2022

  • Konstantinos Skitsas, Ioannis Papageorgiou, Sadegh Talebi, Verena Kantere, Michael Katehakis, Panagiotis Karras. SIFTER: Space-Efficient Value Iteration for Finite-Horizon MDPs. In the Proceedings of Very Large Data Bases (PVLDB), 2022.
  • Amin Kamali, Jarek Szlichta, Calisto Zuzarte, Yueting Chen, Verena Kantere, Shaikh Quader. ML4DM: The second workshop on the emerging applications of machine learning in modern data management. In Proc of the 32nd Annual International Conference on Computer Science and Software Engineering (CASCON) November 2022, Pages 229–231.
  • Amin Kamali, Brandon Frendo, Calisto Zuzarte, Ning Wang, Steve Dononghue, Verena Kantere, Vincent Corvinelli. Hybrid cost model for query execution plan evaluation. In the IBM CASCONxEVOKE (WeaveSphere), 2022.
  • Michalis Georgoulakis-Misegiannis, Verena Kantere, Laurent D'Orazio. Multi-objective query optimization in Spark SQL. In the Intern. Database Engineering Applications Symposium (IDEAS), 2022.
  • Damianos Chatziantoniou, Verena Kantere, Nikos Antoniou, and Angeliki Gantzia. Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments. In the IEEE International Conference on Big Data (IEEE BigData), 2022.
  • Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, Francky Catthoor and Dimitrios Soudris Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures. IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC), 2022.

2021

  • Mary Karatzoglidi, Paris Kerasiotis, Verena Kantere. Automated energy consumption forecasting with EnForce. In the Proceedings of Very Large Data Bases (PVLDB) - Demo, 2021 .
  • Damianos Chatziantoniou, Verena Kantere. DataMingler: A Novel Approach to Data Virtualization. In ACM International Conference of Special Interest Group on Management Of Data (SIGMOD) - Demo Track, 2021 .
  • Maria Krommyda, Konstantinos Tsitsikelis, Verena Kantere, Vasileios Karyotis, Simeon Papavasileiou. Semantic Clustering of Big Data using Hyperbolic Network Embedding. In International Conference on Extending Database Technology (EDBT) - Demo, 2021 .
  • Marinos Tzanikos, Maria Krommyda, Verena Kantere. A highly modular architecture for canned pattern selection problem. In the International Conference on Database and Expert Systems Applications (DEXA), 2021
  • Damianos Chatziantoniou, Verena Kantere. Data Virtual Machines: Enabling Data Virtualization. In Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances (Poly), co-located with VLDB, 2021.
  • Maria Krommyda, Verena Kantere. SPARQL-vision: A platform for Querying, Visualising and Exploring SPARQL endpoints. In the ACM International Conference on Information and Knowledge Management (CIKM) - Demo Track, 2021.
  • Damianos Chatziantoniou, Verena Kantere. Data Virtual Machines: Enabling Data Virtualization. In the International Conference on Conceptual Modeling (ER), 2021.
  • Amin Kamali, Ning Wang, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli, Brandon Frendo, Steve Donoghue Workload-driven query planning and optimization using machine learning. In IBM CASCONxEVOKE, 2021 .
  • Maria Krommyda, Verena Kantere. Spatial Data Management in IoT systems: Solutions & Evaluation International Journal of Semantic Computing, Vol. No. 15, Issue No. 01, pp. 117 - 139, (2021), World Scientific Publishing Company, DOI: 10.1142/S1793351X21300016.

2020

  • Maria Krommyda, Verena Kantere. The Big Data Era: Data management novelties for visualizing, exploring and processing Big Data. In Analyzing Future Applications of AI, Sensors, and Robotics in Society, publisher: IGI Global, 2020, Release Date: September, 2020, Copyright: © 2021, Pages: 335, DOI: 10.4018/978-1-7998-3499-1, ISBN13: 9781799834991 ISBN10: 1799834999 EISBN13: 9781799835011|ISBN13 Softcover: 9781799835004.
  • Verena Kantere. Big Data Applications on Large-Scale Infrastructures In the IEEE International Congress on Big Data (IEEE BigData), 2020 .
  • Maria Krommyda, Verena Kantere. Efficient representation of Very Large Linked Datasets as graphs In International Conference on Enterprise Information Systems (ICEIS), 2020 .
  • Maria Krommyda, Verena Kantere. A framework for exploration and visualization of SPARQL endpoint information International Journal of Graph Computing (IJGC), Vol. 1, No. 1 (2020) 39-69, KS Press, Institute for Semantic Computing Foundation DOI: 10.35708/GC1868-126723 .
  • Maria Krommyda, Verena Kantere. Visualization Systems for Linked Datasets. (Tutorial) In International Conference on Data Engineering (ICDE), 2020 .
  • Damianos Chatziantoniou, Verena Kantere. Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures. In the EDBT Workshop Search, Exploration, and Analysis in Heterogeneous Datastores (SEAData), 2020.
  • Herald Kllapi, Ilia Pietri, Verena Kantere, Yannis Ioannidis. Automated Management of Indexes for Dataflow Processing Engines in IaaS Clouds. In International Conference on Extending Database Technology (EDBT), 2020.
  • Maria Krommyda, Verena Kantere. Spatial Data Management in IoT systems: A study of available storage and indexing solutions. In IEEE Graph Computing (GC), 2020.
  • Trung-Dung Le, Verena Kantere, Laurent d'Orazio. Dynamic estimation and Grid partitioning approach for Multi-Objective Optimization Problems in medical cloud federations. In International Journal Transactions on Large-scale Data and Knowledge-Centered Systems (TLDKS), 2020, Springer..
  • Konstantinos Tsitsikelis, Maria Krommyda, Vasilis Karyotis, Verena Kantere, Simeon Papavasileiou. Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases. In IEEE Transactions of Network Science and Engineering, 2020, pages 1-14, ISSN: 2327-4697 DOI: 10.1109/TNSE.2020.3022248.
  • Maria Krommyda, Verena Kantere. Semantic Analysis for Conversational Datasets: Improving Their Quality Using Semantic Relationships. International Journal of Semantic Computing Vol. 14, No. 3 (2020) 395–422 World Scientific Publishing Company, DOI: 10.1142/S1793351X2050004X.

2019

  • Maria Krommyda, Verena Kantere. SPARQL-vision: Understanding SPARQL endpoints through targeted exploration and visualization. In IEEE Graph Computing (GC), 2019.
  • Maria Krommyda, Verena Kantere, Ioannis Vasileiou. Divide and Conquer Technique for Large Linked Datasets. In the International Conference on Management of Digital EcoSystems (MEDES), 2019.
  • Maria Krommyda, Verena Kantere. Improving the quality of the conversational datasets through extensive semantic analysis. In the International Conference Conversational Data and Knowledge Engineering (CDKE), 2019.
  • Maria Krommyda, Verena Kantere, Ioannis Vasileiou. IVLG: Interactive Visualization of Large Graphs. In the International Conference on Data Engineering (ICDE), 2019.
  • Trung-Dung Le, Verena Kantere, Laurent DÕ Orazio. Optimizing DICOM Data Management with NSGA-G. In the International Workshop Workshop On Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP), collocated with EDBT, 2019.
  • Trung-Dung Le, Verena Kantere, Laurent DÕ Orazio. Dynamic Estimation for Medical Data Management in a Cloud Federation. In the International Workshop Data Analytics solutions for Real-LIfe Applications (DARLI-AP), collocated with EDBT, 2019.

2018

  • Trung-Dung Le, Verena Kantere, Laurent DÕ Orazio. An Efficient Multi-objective Genetic Algorithm for Cloud Computing: NSGA-G. In the International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD), collocated with IEEE Big Data Conference, 2018.
  • Maxim Filatov, Verena Kantere. Workflow Recalibration. In the International Conference on Extending Database Technology (EDBT), 2018.

2017

  • Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, and Nectarios Koziris. Elastic Management of Cloud Applications using Adaptive Markov Models. (To Appear) In the IEEE Big Data Conference, 2017.
  • Verena Kantere. Deployment of Big Data Applications on Hybrid Large-Scale Infrastructures. In the IEEE International Congress on Big Data (IEEE BigData), 2017 (withdrawn because of lack of funding).
  • Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris. Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management. In the International Conference on Data Engineering, (ICDE), 2017.
  • Maxim Filatov, Verena Kantere. Workflow Optimization in PAW. (To Appear) In the International Conference on Distributes Computing Systems (ICDCS), 2017.
  • Maxim Filatov, Verena Kantere. (Tutorial on) Data Analytics in Multi-Engine Environments. In the International Conference on Database Systems for Advanced Applications (DASFAA), 2017.
  • Maxim Filatov, Verena Kantere. Multi-Workflow Optimization in PAW. In the International Conference on Extending Database Technology (EDBT), 2017.

2016

  • Maxim Filatov, Verena Kantere. (Tutorial on) Data Analytics in Multi-Engine Environments. In the International Conference on Data Analytics and Management in Data Intensive Domain (DAMDID), 2016.
  • Alexandros Kontarinis, Verena Kantere. Cloud Resource Allocation from the User Perspective: A Bare-bones Reinforcement Learning Approach. In the International Conference on Web Information System Engineering (WISE), 2016.
  • Verena Kantere. Query Similarity for Approximate Query Answering. In the International Conference on Database and Expert Systems Applications (DEXA), 2016.
  • Verena Kantere. Datom continued: Towards multi-objective optimization of data management entities. In the IEEE International Conference on Information Reuse and Integration (IEEE IRI), 2016.
  • Chung-Sheng Li, Frederica Darema, Verena Kantere, Victor Chang. Orchestrating the Cognitive Internet of Things. In the International Conference on Internet of Things and Big Data (IoTBD), 2016.
  • Katerina Doka, Maxim Filatov, Victor Giannakouris, Verena Kantere, Nectarios Koziris, Christos Mantas, Nikolaos Papailiou, Vasilios Papaioannou and Dimitrios Tsoumakos. Optimizing, Planning and Executing Analytics Workflows over Multiple Engines. In the 1st International Workshop on Multi-Engine Data AnaLytics, (in conjunction with EDBT), 2016 .
  • Maxim Filatov, Verena Kantere. PAW: A Platform for Analytics Worfklows. In the International Conference on Extending Database Technology (EDBT), 2016.

2015

  • Verena Kantere, Dimosthenis Bousounis, Timos Sellis. Mapping Discovery over Revealing Peer Schemas In the International Journal of Cooperative Information Systems, Volume 24, Issue 04, December 2015.
  • Verena Kantere, Maxim Filatov. Modelling Processes of Big Data Analytics. In the International Conference on Web Information System Engineering (WISE), 2015.
  • Verena Kantere, Anastasios Kementsietsidis, George Orfanoudakis, Timos Sellis. Query Relaxation across Heterogeneous Data Sources. In the ACM International Conference on Information and Knowledge Management (CIKM), 2015.
  • Datom: Verena Kantere. Datom: Towards Modular Data Management. In the IEEE International Conference on Information Reuse and Integration (IEEE IRI), 2015.
  • Verena Kantere, Maxim Filatov. A Framework for Big Data Analytics. In the International C* Conference on Computer Science & Software Engineering (C3S2E), 2015.
  • Verena Kantere, Maxim Filatov. Towards Adaptive Analytics on Big Data Sources. In the International Conference on Data Mining, Internet Computing, and Big Data (BigData2015), 2015.
  • Verena Kantere, Maxim Filatov. A Workflow Model for Adaptive Analytics on Big Data. In the IEEE International Congress on Big Data (IEEE BigData), 2015.
  • Verena Kantere. Approximate Querying in Big Heterogeneous Data Sources. In the IEEE International Congress on Big Data (IEEE BigData), 2015.
  • Ioannis Mytilinis, Dimitrios Tsoumakos, Verena Kantere, Anastassios Nanos and Nectarios Koziris. I/O Performance Modeling for Big Data Applications over Cloud Infrastructures. In the EEE International Conference on Cloud Engineering (IEEE IC2E), 2015.

2014

  • Verena Kantere. Mapping Construction Compliant with Schema Semantics. In the International Conference on Database and Expert Systems Applications (DEXA), 2014.
  • Verena Kantere. A Holistic Framework for Big Scientific Data Management. In the International Congress on Big Data (IEEE BigData), 2014.
  • Katerina Stamou, Verena Kantere, Jean-Henry Morin, A.Longo, M. Bochicchio. Checkpoint graphs for service level operations. In the IEEE International Conference on Services Computing (IEEE SCC), 2014.
  • Katerina Stamou, Verena Kantere, Jean-Henry Morin, Michalis Georgiou. SLA information management through dependency digraphs: the case of cloud data services. In the 47th Hawaii International Conference on System Sciences (HICSS), 2014.
  • Verena Kantere. An open market of cloud data services. In the 4th International Conference on Cloud Computing and Services Science (CLOSER), 2014.

2013

  • Ioannis Konstantinou, Verena Kantere, Dimitrios Tsoumakos, Nectarios Koziris COCCUS: self-configured cost-based query services in the cloud. ACM SIGMOD Conference 2013.
  • Verena Kantere Datom: Towards modular data management. CoRR abs/1312.0156 (2013).
  • Katerina Stamou, Verena Kantere, Jean-Henry Morin. SLA Template Filtering: A Faceted Approach. In Intern. Conference on Cloud Computing, GRIDs, and Virtualization, IARIA CLOUD COMPUTING, 2013.
  • Verena Kantere. Scientific data management through the cloud. In the 10th International Conference on Scientific Computing (CSC), 2013.
  • Verena Kantere. Processing and consolidation of scientific data. In the European Conference on Data Analysis (ECDA), 2013.
  • Katerina Stamou, Verena Kantere, Jean-Henry Morin, Michalis Georgiou. A SLA Graph Model for Data Services. In the 5th International Workshop on Cloud Data Management (CloudDB), collocated with CIKM, 2013.
  • Katerina Stamou, Verena Kantere, Jean-Henry Morin. SLA data management criteria. In the Scalable Cloud Data Management Workshop (SCDM), collocated with IEEE BigData Conference, 2013.

2012

  • Verena Kantere. A Framework for Cost-Aware Cloud Data Management. In OTM Conferences (1) 2012, (CoopIS): 146-163.

2011

  • Verena Kantere, Debabrata Dash, Georgios Gratsias, Anastasia Ailamaki. Predicting cost amortization for query services. In ACM International Conference of Special Interest Group on Management Of Data (SIGMOD), 2011.
  • Angelos Vasilakopoulos, Verena Kantere. Efficient Query Computing for Uncertain Possibilistic Databases with Provenance. In the 3rd USENIX Workshop on the Theory and Practice of Provenance (TAPP), 2011.
  • Verena Kantere, Dimosthenis Bousounis, Timos Sellis. GrouPeer: a System for Clustering PDMSs. In the International Conference on Very Large Data Bases (VLDB), 2011.
  • Verena Kantere, Debabrata Dash, Gregory Francois, Sofia Kyriakopoulou, Anastasia Ailamaki. Optimal Pricing for a Cloud Cache. In the IEEE Transactions on Knowledge and Data Engineering Journal, Special Issue on Cloud Data Management, Vol. 23 No. 6, Pages 1345 – 1358, 2011

2010

  • Adrian Popescu, Debabrata Dash, Verena Kantere, Anastasia Ailamaki. Adaptive Query Execution for Data Management in the Cloud. InProc. of the 2nd Workshop for Cloud Data Management, International Conference on Information and Knowledge Management (in CIKM), 2010.
  • Anastasia Ailamaki, Verena Kantere, Debabrata Dash. Managing scientific data. In Commun. ACM 53(6): 68-78.
  • Verena Kantere, Maher Manoubi, Iluju Kiringa, Timos K. Sellis, John Mylopoulos. Peer coordination through distributed triggers. In PVLDB 3(2): 1561-1564.

2009

  • Verena Kantere, Timos Sellis, Spiros Skiadopoulos. Storing and Indexing Spatial Data in P2P Systems. In the IEEE Transactions on Knowledge and Data Engineering Journal. Volume 21 Issue 2 (February 2009) pp. 287-300.
  • Dimitris Skoutas, Dimitris Sacharidis, Alkis Simitsis, Verena Kantere, Timos Sellis. Top-k Queries for Web Services with Multiple Parameters and Matching Criteria. In Proc. of 12th International Conference on Extending Database Technology - EDBT, p. 898-909, March 2009.
  • Verena Kantere, Dimosthenis Bousounis, Timos Sellis. A Tool for Mapping Discovery over Revealing Schemas. In Proc. of 12th International Conference on Extending Database Technology - EDBT, p. 1124-1127, March 2009.
  • Dash Debabrata, Verena Kantere, Anastasia Ailamaki. An Economic Model for Self-Tuned Cloud Caching. In Proc. of the 25th International Conference on Data Engineering - ICDE, p. 1687-1693, March, 2009.
  • Anastasia Ailamaki, Debabrata Dash, Verena Kantere. The Economic Aspects of Cloud Computing. Flash Informatique, EPFL, N. 8, November 2009.

2008

  • Verena Kantere, Dimitrios Tsoumakos and Timos Sellis. A Framework for Semantic Grouping in P2P Databases. In the Journal of Information Systems for the Special Issue on Interoperability in Open Information Systems through Data and Service Integration, doi:10.1016/j.is.2008.01.011.
  • Dimitris Sacharidis, Kostas Patroumpas, Manolis Terrovitis, Verena Kantere, Michalis Potamias, Kyriakos Mouratidis. On-Line Discovery of Hot Motion Paths. In Proc. of the 11th International Conference on Extending Database Technology - EDBT, March 2008.
  • Verena Kantere, Konstantina Palla, Timos Sellis. A Simulator for a Mobile Peer-to-Peer Database Environment. In Proc. of the 9th International Conference on Mobile Data Management - MDM, April 2008.
  • Verena Kantere, Dimitrios Tsoumakos Timos Sellis, and Nick Roussopoulos. GrouPeer: Dynamic Clustering of P2P Databases. In the Journal of Information Systems, doi:10.1016/j.is.2008.04.002 .
  • Dimitris Skoutas, Dimitris Sacharidis, Verena Kantere, Timos Sellis. Efficient Semantic Web Service Discovery for Centralized and P2P Environments. In Proc. of the 7th International Semantic Web Conference - ISWC, October 2008.
  • Verena Kantere, Maria-Eirini Politou, Timos Sellis. Conceptual Synopses of Semantics in Social Networks with Structured Data. In Proc. of --Federated Conferences - the 7th ODBASE, November 2008.

2007

  • Verena Kantere, Timos Sellis. A study for the parameters of a distributed framework that handles spatial areas. In the 10th International Symposium on Spatial and Temporal Databases - SSTD'07, July 2007.
  • Verena Kantere, Dimitrios Tsoumakos, Timos Sellis. Semantic Grouping of Social Networks in P2P Database Settings. In the 18th International Conference on Database and Expert Systems Applications - DEXA '07.
  • Verena Kantere, Iluju Kiringa, John Mylopoulos. Supporting Distributed Event Condition-Action Rules in a Multidatabase Environment. In International Journal of Cooperative Information Systems, 16(3/4), September and December 2007.
  • Verena Kantere, Timos Sellis. Handling Spatial Data in Distributed Environments. In Proc. of the 15th ACM International Symposium on Advances in Geographic Information Systems - ACM GIS, p. 1-8, November 2007.
  • Dimitris Skoutas, Verena Kantere, Alkis Simitzis, Timos Sellis. A semantic similarity measure for data sharing in P2P Databases. In the Joint ODBIS & SWDB workshop on Semantic Web, Ontologies, Databases, 2007.

2006

  • Dan Zhao, John Mylopoulos, Iluju Kiringa, Verena Kantere. An ECA Rule Rewriting Mechanism for Peer Data Management Systems. In Proc. of the International Conference on Extending Database Technology, March 2006.
  • Verena Kantere, Timos Sellis. Reusing Classical Query Rewriting in P2P Databases. In International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P), September 2006.
  • Verena Kantere, Iluju Kiringa, QingQing Zhou, John Mylopoulos, Gregory McArthur. Distributed Triggers for Peer Data Management. In Proc. of International Conference on Cooperative Information Systems (CoopIS), November 2006.
  • Verena Kantere, Timos Sellis. Data Exchange Issues in Peer-to-Peer Database Systems. In the Proc. of the 8th International Conference on Enterprise Information System - ICEIS, May 2006.

2005

  • Verena Kantere, Aris Tsois. Using ECA Rules to Implement Mobile Query Agents for Fast-Evolving Pure P2P Database Systems. In Proc. of the International Conference on Mobile Data Management, May 2005.

2004

  • Verena Kantere, Aris Tsois. Using ECA Rules to Implement Mobile Query Agents for Fast-Evolving Pure P2P Networks. In Proc. of the International Conference on Autonomous Agents and Multiagent Systems, July 2004.
  • Verena Kantere, Dimitrios Tsoumakos, Nick Roussopoulos. Querying Structured Data in an Unstructured P2P System. In In Proc. of the International Workshop on Web Information and Data Management, November 2004.

2003

  • Vasiliki Kantere, John Mylopoulos, Iluju Kiringa. A Distributed Rule Mechanism for Multidatabase Systems. In International Conference on Cooperative Information Systems (CoopIS), November 2003.
  • Vasiliki Kantere, Iluju Kiringa, John Mylopoulos, Anastasios Kementsietsidis, Marcelo Arenas. Coordinating Peer Databases Using ECA Rules. In International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P), September 20.
  • Marcelo Arenas, Vasiliki Kantere, Anastasios Kementsietsidis, Iluju Kiringa, Rene'e J. Miller, John Mylopoulos. The Hyperion Project: From Data Integration to Data Coordination. In SIGMOD Record, Special Issue on Peer-to-Peer Data Management, September 2003.


Contact Info

Vasiliki (Verena) Kantere

School of Electrical Engineering and Computer Science (EECS),
Office room SITE 5 060,
800 King Edward Ave
Ottawa ON Canada
K1N 6N5
email:vkantere@uottawa.ca,
phone: +1 613 562 5700 ext. 6708