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Dr. Paraskevi Raftopoulou
Department of Informatics & Telecommunications, University of the Peloponnese, Trípoli, Greece

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Big Data
0 Data Management
0 Data Mining
0 Databases
0 Digital Libraries

Honors and Awards

Heraklitus

Postgraduate Research Scholarship for pursuing a Ph.D.

Greek Ministry of Education


Research Scholarship for visiting an international research Institute

Technical University of Crete, Greece




Career Timeline

Department of Informatics and Telecommunications, University of the Peloponnese, Greece

University Educator/Researcher

01 July 2013 - 01 March 2021


Department of Computer Science and Technology, University of the Peloponnese, Greece

University Educator/Researcher

01 August 2008 - 01 June 2013


Databases and Information Systems Department, Max-Planck Institute for Informatics, Germany

Graduate Student or Post Graduate

01 October 2007 - 01 July 2008


Intelligent Systems Laboratory, Technical University of Crete, Greece

Graduate Student or Post Graduate

01 June 2000 - 01 July 2008




Short Biography

I was born in Tripoli, Greece in 1978. In 2000 I received my BSc degree in Computer Science from University of Crete. In 2003 I received a MSc degree in Computer Engineering and in 2009 I received a PhD degree in Information Management both from Technical University of Crete. During the periods October 2007 - December 2007 and March 2008 - July 2008 I joined the Databases and Information Systems Department at Max-Planck Institute for Informatics (MPII) as a visiting researcher under the supervisoin of Prof. Gerhard Weikum. Since August 2008 I act as Research and Teaching staff at the Department of Informatics and Telecommunications of the University of the Peloponnese, and as a member of the Software and Database Systems Laboratory (SoDa.Lab). Finally, since July 2011 I am acting as an External evaluator for the FET-Open ICT Research Proposals in FP7 at the European Commission. My research interests lie in the meeting of distributed systems and data management, with extensions to social networks, data mining, databases, and digital libraries, and since 2002 I have (co-) authored around 20 papers in these fields. Most of them can be found here or (uncurated) at Google Scholar.

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Profile ImageKimon Deligiannis Department of Informatics & ...
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Project

Project Goal: Visit https://soda.dit.uop.gr

Starting Date:15 March 2021

Current Stage: Running

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Project

Project Goal: Visit https://soda.dit.uop.gr

Starting Date:01 October 2019

Current Stage: Running

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Project

Project Goal: Visit https://soda.dit.uop.gr

Starting Date:01 October 2019

Current Stage: Running

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Journal article
Published: 23 April 2020 in Big Data and Cognitive Computing
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Advancements in cultural informatics have significantly influenced the way we perceive, analyze, communicate and understand culture. New data sources, such as social media, digitized cultural content, and Internet of Things (IoT) devices, have allowed us to enrich and customize the cultural experience, but at the same time have created an avalanche of new data that needs to be stored and appropriately managed in order to be of value. Although data management plays a central role in driving forward the cultural heritage domain, the solutions applied so far are fragmented, physically distributed, require specialized IT knowledge to deploy, and entail significant IT experience to operate even for trivial tasks. In this work, we present Hydria, an online data lake that allows users without any IT background to harvest, store, organize, analyze and share heterogeneous, multi-faceted cultural heritage data. Hydria provides a zero-administration, zero-cost, integrated framework that enables researchers, museum curators and other stakeholders within the cultural heritage domain to easily (i) deploy data acquisition services (like social media scrapers, focused web crawlers, dataset imports, questionnaire forms), (ii) design and manage versatile customizable data stores, (iii) share whole datasets or horizontal/vertical data shards with other stakeholders, (iv) search, filter and analyze data via an expressive yet simple-to-use graphical query engine and visualization tools, and (v) perform user management and access control operations on the stored data. To the best of our knowledge, this is the first solution in the literature that focuses on collecting, managing, analyzing, and sharing diverse, multi-faceted data in the cultural heritage domain and targets users without an IT background.

ACS Style

Kimon Deligiannis; Paraskevi Raftopoulou; Christos Tryfonopoulos; Nikos Platis; Costas Vassilakis. Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain. Big Data and Cognitive Computing 2020, 4, 7 .

AMA Style

Kimon Deligiannis, Paraskevi Raftopoulou, Christos Tryfonopoulos, Nikos Platis, Costas Vassilakis. Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain. Big Data and Cognitive Computing. 2020; 4 (2):7.

Chicago/Turabian Style

Kimon Deligiannis; Paraskevi Raftopoulou; Christos Tryfonopoulos; Nikos Platis; Costas Vassilakis. 2020. "Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain." Big Data and Cognitive Computing 4, no. 2: 7.