Ioannis Chrysakis

Ioannis Chrysakis
Foundation for Research and Technology - Hellas | forth · Information Systems Laboratory (ISL)

Msc in Information Systems & E-Commerce (Computer Science Department, University of Crete)

About

32
Publications
20,616
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153
Citations
Introduction
I am Senior R&D Engineer in the Information Systems Laboratory of FORTH-ICS and Joint PhD Candidate at Ugent KU Leuven. My research interests lie in the areas of data privacy, data economy, crowdsourcing and semantic web. I hold a Master of Science in Information Systems & Software Engineering [Major Area] and in E-Commerce [Minor Area] and a degree in Computer Science from University of Crete. More info can be found on my personal website: https://www.chrysakis.eu
Additional affiliations
November 2019 - present
Ghent University
Position
  • PhD Student
Description
  • Doctor of Engineering Technology, PhD, Faculty of Engineering and Architecture. Ghent University, Internet & Data Lab (IDLab), imec. Supervisors: Dr. Anastasia Dimou & Professor Ruben Verbogh.
October 2011 - January 2015
Hellenic Mediterranean University
Position
  • Lecturer
Description
  • Part-time lecturer in the Department of Informatics Engineering & Department of Accounting and Finance Teaching Courses: Introduction to Databases, Programming, Introduction to Computer Science.
March 2008 - present
Foundation for Research and Technology - Hellas
Position
  • Engineer
Education
December 2016 - January 2017
Lund University
Field of study
  • Digital Business Models
February 2004 - March 2006
University of Crete
Field of study
  • Information Systems - E-commerce Technologies
September 1999 - February 2004
University of Crete
Field of study
  • Computer Science

Publications

Publications (32)
Conference Paper
Full-text available
Ambient Intelligence is an emerging discipline that requires the integration of expertise from a multitude of scientific fields. The role of Artificial Intelligence is crucial not only for bringing intelligence to everyday environments, but also for providing the means for the different disciplines to collaborate. In this paper we describe the desi...
Conference Paper
Full-text available
When dealing with dynamically evolving datasets, users are often interested in the state of affairs on previous versions of the dataset, and would like to execute queries on such previous versions, as well as queries that compare the state of affairs across different versions. This is especially true for datasets stored in the Web, where the interl...
Conference Paper
Full-text available
The dynamic nature of Web data gives rise to a multitude of problems related to the description and analysis of the evolution of RDF datasets, which are important to a large number of users and domains, such as, the curators of biological information where changes are constant and interrelated. In this paper, we propose a framework that enables ide...
Conference Paper
Full-text available
In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much of it being valuable and a significant part of it being personal. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain deeply undecided issues. This paper proposes CAPr...
Chapter
Full-text available
Digital applications typically describe their privacy policy in lengthy and vague documents (called PrPs), but these are rarely read by users, who remain unaware of privacy risks associated with the use of these digital applications. Thus, users need to become more aware of digital applications’ policies and, thus, more confident about their choice...
Poster
Full-text available
The wine industry has evolved thanks to the introduction of new technologies (e.g., sensors, digital tools). Since the competition in the wine sector is extremely high, transparency via digital means is one of the methods that wine enterprises employ to increase their competitiveness, customer loyalty, and market share. The MiB system, developed in...
Article
Full-text available
CAP-A is offering socio-technical tools to promote collective awareness and informed consent, whereby data collection and use by digital products are driven by the expectations and needs of the consumers themselves.
Chapter
Full-text available
Consumers are largely unaware regarding the use being made to the data that they generate through smart devices, or their GDPR-compliance, since such information is typically hidden behind vague privacy policy documents, which are often lengthy, difficult to read (containing legal terms and definitions) and frequently changing. This paper describes...
Chapter
Full-text available
The utilisation of personal data by mobile apps is often hidden behind vague Privacy Policy documents, which are typically lengthy, difficult to read (containing legal terms and definitions) and frequently changing. This paper discusses a suite of tools developed in the context of the CAP-A project, aiming to harness the collective power of users t...
Chapter
Full-text available
Rewarding people is common in several contexts, such as human resource management and crowdsourcing applications. However, designing a reward strategy is not straightforward, as it requires considering different parameters. These parameters include, for example, management of rewarding tasks and identifying critical features, such as the type of re...
Poster
Full-text available
Rewarding people is common in several contexts, such as human resource management and crowdsourcing applications. However, designing a reward strategy is not straightforward, as it requires considering different parameters. These parameters include, for example, management of rewarding tasks and identifying critical features, such as the type of re...
Poster
Full-text available
Invited poster, presented in the Researchers Night 2018 which took place in the premises of FORTH.
Poster
Full-text available
The CAPrice initiative brings to the fore the creativity of the community towards privacy via specific co-creation tools (structured debates, annotation tools, reward mechanisms and others). Our objective is to improve citizen awareness on privacy issues, and leverage this awareness to motivate the market to adopt more privacy-friendly practices.
Poster
Full-text available
Publication management systems can be instrumental in disseminating research results across academia and industry, by providing facilities for uploading, editing and searching for publications. Usually, these systems can be used by individuals to assist them in their research or by organizations to help them classify and promote their publication i...
Article
Full-text available
The concept of the digital business model can bring new capabilities to customers and the desired defending value for OEMs. Some of the digital services that can be encapsulated in cars may include insurance services according to driving style, travel suggestions, infotainment, monitoring car diagnostics, driver health services etc. The autonomous...
Article
Full-text available
D2V, a research prototype for analysing the dynamics of Linked Open Data, has been used to study the evolution of biomedical datasets, such as the Experimental Factor Ontology (EFO) and the Gene Ontology (GO). Datasets are continuously evolving over time as our knowledge increases. Biomedical datasets in particular have undergone rapid changes in r...
Technical Report
Full-text available
This deliverable reports on the summative evaluation of the IdeaGarden System and its components. It provides an account of the aims and methods, the main results, and a synthesis of insights and recommendations for the further advancement of creativity support tools. The evaluation report covers both a summative assessment of the first version of...
Poster
Full-text available
The dynamic nature of Web data gives rise to the need of understanding and analyzing the dynamics of individual datasets. As a matter of fact, the value of a dynamic dataset lies not only in its content, but also in its evolution history, which in some applications (e.g., trend analysis and identification), is more important than the data itself. I...
Article
Full-text available
The dynamic nature of Web data gives rise to a multitude of problems related to the identification, computation and management of the evolving versions and the related changes. In this paper, we consider the problem of change recognition in RDF datasets, i.e., the problem of identifying, and when possible give semantics to, the changes that led fro...
Technical Report
Full-text available
The dynamic nature of Web data gives rise to a multitude of problems related to the description and analysis of the evolution of RDF datasets, which are important to a large number of users and domains, such as, the curators of biological information where changes are constant and interrelated. In this paper, we propose a framework that enables ide...
Conference Paper
Full-text available
The advances in 3D digitizing technology have found significant application in the Cultural Heritage domain. The systematic large-scale production of digital cultural objects, the diversity of the processes involved and the complexity of describing historical relationships among them imposes the need for innovative knowledge management to handle al...
Conference Paper
Full-text available
This paper presents the development of a new Web based LiDAR (Light Detection And Ranging) 3D point cloud viewer addressing mobility and portability issues arising from remote field applications by numerous multidisciplinary collaborative scientists. This new Web Browser-based 3D point cloud viewer, hereafter called 3DSYSTEK viewer, was developed a...
Conference Paper
Full-text available
The diversity of contemporary technology on 3D-model digitizing and processing procedures necessitates the systematic documentation of all the involved activities. In this paper we present essential concepts and the infrastructure of 3D-SYSTEK (3DS), a system that supports the 3D-modelling provenance preservation in the Cultural Heritage (CH) domai...
Conference Paper
Full-text available
Terrestrial laser scanning is a new fast developing technology that allows for the recording and visualisation of the 3D geometry of monuments. The problem lies on the various types of hardware equipment and software systems used in the whole workflow of the 3D scanning process. These often results in a large volume of interim and final products wi...
Conference Paper
Full-text available
This research investigates the application of new system for 3D documentation of land degradation and its effect [1,2] on areas of cultural heritage via complete 3D data acquisition, 3D modeling and metadata recording using terrestrial laser scanners (TLS) [3,4,5]. As land degradation progresses through time it is important to be able to map and ex...
Conference Paper
Full-text available
In p2p networks, top-k query processing can provide a lot of advantages both in time and bandwidth consumption. Several algorithms have been proposed for the evaluation of top-k queries. A large percentage of them follow the Threshold Approach. We focus on the main adaptations of threshold algorithms fulfilling the requirements of modern p2p applic...
Article
Full-text available
Requirements for widely distributed information systems supporting virtual organizations have given rise to a new category of peer-to-peer (p2p) systems called schema-based. In such systems each peer is a database management system in itself, exposing its own schema. In such a setting, a main objective is the efficient search across peer databases...
Article
Full-text available
COMPUTER SCIENCE DEPARTMENT, UNIVERSITY OF CRETE The idea of Peer-to-peer (P2P) computing offers new opportunities for building highly distributed data systems. The advent of Semantic Web gave rise to a new category of peer-topeer systems called Schema-Based. In Schema-Based P2P systems each peer is a whole database management system in itself. Eac...
Article
Full-text available
Ranking queries, also known as top-k queries, have drawn considerable attention due to their usability in various applications. Several algorithms have been proposed for the evaluation of top-k queries. A large percentage of them follow the Threshold Approach. In p2p networks, top-k query processing can provide a lot of advantages both in time and...

Projects

Projects (6)
Project
The Message in a Bottle (MiB) project is a system for providing specialized traceability information at the bottle level. This is an application, which will give a new "form" to the wines produced by the Lyraraki winery - GEA SA, providing the possibility of interaction of the final consumer with the bottle. At the same time, the MiB project will contribute to the increase of fidelity to the product (wine), providing augmented reality functions to the consumer, but also a wealth of information that will be available for each bottle separately. The aim of the project is to use traceability data, as well as geological, historical, meteorological and other data, in order to produce a personalized bottle story, both for the ordinary consumer and for the specialized oenologist and wine expert. The story of the bottle tells how a specific wine was produced, at the bottle level, connecting the bottle (and its contents) with its oenological, cultural, geographical, historical and ecological context. Apart from telling the wine story, the system suggests ways of consuming it, so that its special characteristics are highlighted. In this way the winery will be able to highlight all the quality characteristics of the wines it produces, adding value to its products, but also to come close to its customers by making them part of his story.
Archived project
In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much of it being valuable and a significant part of it being personal. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain deeply undecided issues. CAP-A will deploy a socio-technical solution based on collective awareness and informed consent, whereby data collection and use by digital products are driven by the expectations and needs of the consumers themselves, through a collaborative participatory process and the configuration of collective privacy norms. The proposed solution will create a new innovation model that will complement existing top-down approaches to data protection, which mainly rely on technical or legal provisions. The project will deliver a global repository of consumer- and developer-generated content about the privacy behaviour of digital products, along with tools that will help consumers understand the Terms of Service and their implications via crowdsourced approaches and visual cues. The objective is to foster collective intelligence and co-creation of solutions, and to facilitate the participation of all involved stakeholders through an open architecture, thereby allowing novel uses of the privacy-related content. Ultimately, the CAP-A ecosystem that will be formed will strengthen the trust bond between service developers and users, encouraging innovation and empowering the individuals to promote their privacy expectations as a quantifiable, community-generated request.
Project
CAPrice is a community effort driven by consumers and developers who believe that privacy and digital services can exist in harmony. CAPrice suggests a socio-technical solution based on collective awareness and informed consent, whereby data collection and use by digital products are driven by the expectations and needs of the consumers themselves through a collaborative participatory process and the configuration of collective privacy norms. CAPrice aims to the collaboration between consumers, developers and finally with the digital content providers in order to build a more trusted and privacy-conscious digital market.