Haridimos Kondylakis

Haridimos Kondylakis
Foundation for Research and Technology - Hellas | forth · Institute of Computer Science (ICS)

Collaborating Researcher, PhD, MSc

About

186
Publications
45,945
Reads
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2,186
Citations
Citations since 2016
136 Research Items
1831 Citations
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Introduction
Haridimos Kondylakis is currently a Collaborating Researcher at Institute of Computer Science, Foundation of Research & Technology-Hellas (FORTH). He holds a Ph.D and an M.Sc. in Computer Science from University of Crete. He is also a visiting lecturer at the Computer Science Department, University of Crete and at the Department of Informatics Engineering at Technological Educational Institute of Crete teaching lessons related to data management and semantics. He has more than 100 publications in international conferences, books and journals including ACM SIGMOD, VLDB, JWS, KER, EDBT, ISWC, ESWC etc.
Additional affiliations
October 2014 - present
Hellenic Mediterranean University
Position
  • Visiting Lecturer
Description
  • Semantic Web, Fall, 2014
September 2014 - present
University of Crete
Position
  • Visiting Lecturer
Description
  • CS 460: Database Management Systems, Fall 2014
February 2014 - June 2014
University of Crete
Position
  • Visiting Lecturer
Description
  • CS-562: Advanced Database Topics, Spring 2014

Publications

Publications (186)
Article
Given the explosive growth in both data size and schema complexity, data sources are becoming increasingly difficult to use and comprehend. Summarization aspires to produce an abridged version of the original data source highlighting its most representative concepts. In this paper, we present an advanced version of the RDF Digest, a novel platform...
Article
Full-text available
Purpose: Biomedical research is being catalyzed by the vast amount of data rapidly collected through the application of information technologies (IT). Despite IT advances, the methods for involving patients and citizens in biomedical research remain static, paper-based and organized around national boundaries and anachronistic legal frameworks. Th...
Conference Paper
Being diagnosed with breast cancer (BC) can be a traumatic experience for patients who may experience symptoms of depression. In order to facilitate the prevention of such symptoms, it is crucial to understand how and why depressive symptoms emerge and evolve for each individual, from diagnosis through treatment and recovery. In the present work, d...
Article
Full-text available
More and more weakly structured, and irregular data sources are becoming available every day. The schema of these sources is useful for a number of tasks, such as query answering, exploration and summarization. However, although semantic web data might contain schema information, in many cases this is completely missing or partially defined. In thi...
Article
Full-text available
A huge amount of imaging data is becoming available worldwide and an incredible range of possible improvements can be provided by artificial intelligence algorithms in clinical care for diagnosis and decision support. In this context, it has become essential to properly manage and handle these medical images and to define which metadata have to be...
Chapter
Full-text available
Prostate cancer (PCa) is one of the most prevalent cancers in the male population. Current clinical practices lead to overdiagnosis and overtreatment necessitating more effective tools for improving diagnosis, thus the quality of life of patients. Recent advances in infrastructure, computing power and artificial intelligence enable the collection o...
Chapter
Full-text available
The term frailty is often used to describe a particular state of health, related to the ageing process, often experienced by older people. The most common indicators of frailty are weakness, fatigue, weight loss, low physical activity, poor balance, low gait speed, visual impairment and cognitive impairment. The objective of this work is the creati...
Preprint
BACKGROUND Stress and anxiety are psychophysiological responses commonly experienced by patients during a perioperative process that can increase pre- and post-surgical complications to a comprehensive and positive recovery. Preventing and intervening stress and anxiety can help patients achieve positive outcomes on health and wellbeing. Similarly,...
Article
Full-text available
Background: Major chronic diseases such as cardiovascular disease (CVD), diabetes, and cancer impose a significant burden on people and health care systems around the globe. Recently, deep learning (DL) has shown great potential for the development of intelligent mobile health (mHealth) interventions for chronic diseases that could revolutionize th...
Article
Full-text available
Informal care is considered to be important for the wellbeing and resilience of the elderly. However, solutions for the effective collaboration of healthcare professionals, patients, and informal caregivers are not yet widely available. The purpose of this paper is to present the development of a digital platform that uses innovative tools and arti...
Conference Paper
Full-text available
Proper and well-timed interventions may improve breast cancer patient adaptation, resilience and quality of life (QoL) during treatment process and time after disease. The challenge is to identify those patients who would benefit most from a particular intervention. The aim of this study was to measure whether the machine learning prediction incorp...
Article
Creating a holistic view of patient data comes with many challenges but also brings many benefits for disease prediction, prevention, diagnosis, and treatment. Especially in the COVID-19 era, this is more important than ever before. The third International Workshop on Semantic Web Meets Health Data Management (SWH) was aimed at bringing together an...
Conference Paper
Breast cancer diagnosis has been associated with poor mental health, with significant impairment of quality of life. In order to ensure support for successful adaptation to this illness, it is of paramount importance to identify the most prominent factors affecting well-being that allow for accurate prediction of mental health status across time. H...
Article
Full-text available
The lives of millions of people have been affected during the coronavirus pandemic that spread throughout the world in 2020. Society is changing establishing new norms for healthcare education, social life, and business. Digital health has seen an accelerated implementation throughout the world in response to the pandemic challenges. In this perspe...
Article
Full-text available
Sentiment Analysis is an actively growing field with demand in both scientific and industrial sectors. Political sentiment analysis is used when a data analyst wants to determine the opinion of different users on social media platforms regarding a politician or a political event. This paper presents Athena Political Popularity Analysis (AthPPA), a...
Article
Full-text available
Ontologies are widely used nowadays. However, the plethora of ontologies currently available online, makes it really difficult to identify which ontologies are appropriate for a given task and to decide on their quality characteristics. This is further complicated by the fact that multiple quality criteria have been proposed for ontologies, making...
Preprint
BACKGROUND Major chronic diseases such as cardiovascular disease, diabetes, and cancer impose a significant burden on people and the healthcare systems around the globe. Recently, Deep Learning (DL) has shown great potential towards the development of intelligent mobile health (mHealth) interventions for chronic diseases which could revolutionize t...
Article
Background: Major chronic diseases such as cardiovascular disease (CVD), diabetes, and cancer impose a significant burden on people and health care systems around the globe. Recently, deep learning (DL) has shown great potential for the development of intelligent mobile health (mHealth) interventions for chronic diseases that could revolutionize t...
Chapter
As more and more data become available as linked data, the need for efficient and effective methods for their exploration becomes apparent. Semantic summaries try to extract meaning from data, while reducing its size. State of the art structural semantic summaries, focus primarily on the graph structure of the data, trying to maximize the summary’s...
Article
Full-text available
HIFUN is a high-level query language for expressing analytic queries of big datasets, offering a clear separation between the conceptual layer, where analytic queries are defined independently of the nature and location of data, and the physical layer, where queries are evaluated. In this paper, we present a methodology based on the HIFUN language,...
Article
Full-text available
Advances in computers and communications have significantly changed almost every aspect of our daily activity. In this maze of change, governments around the world cannot remain indifferent. Public administration is evolving and taking on a new form through e-government. A large number of organizations have set up websites, establishing an online i...
Article
Full-text available
INTRODUCTION: The ongoing coronavirus pandemic is affecting the lives of millions of people, changing society by enacting new rules for social life, business and travel. The world community (i.e. international organizations, public administrations, businesses, and citizens) has conducted a huge effort in delivering digital solutions to properly add...
Preprint
Full-text available
Analytical queries over RDF data are becoming prominent as a result of the proliferation of knowledge graphs. Yet, RDF databases are not optimized to perform such queries efficiently, leading to long processing times. A well known technique to improve the performance of analytical queries is to exploit materialized views. Although popular in relati...
Article
Full-text available
This article studies opinion mining from social media with probabilistic logic reasoning. As it is known, Twitter is one of the most active social networks, with millions of tweets sent daily, where multiple users express their opinion about traveling, economic issues, political decisions etc. As such, it offers a valuable source of information for...
Article
Displaying resilience following a diagnosis of breast cancer is crucial for successful adaptation to illness, well-being, and health outcomes. Several theoretical and computational models have been proposed toward understanding the complex process of illness adaptation, involving a large variety of patient sociodemographic, lifestyle, medical, and...
Article
Full-text available
We protect the community. We protect ourselves. We decongest the health system. We stay safe in COVID-19. One of the many responses to the global call against the world pandemic of COVID-19 resulted in “Safe in COVID-19”, an electronic platform developed by the Institute of Computer Science of the Foundation for Research and Technology – Hellas (FO...
Article
Full-text available
Background: The status of the data-driven management of cancer care as well as the challenges, opportunities, and recommendations aimed at accelerating the rate of progress in this field are topics of great interest. Two international workshops, one conducted in June 2019 in Cordoba, Spain, and one in October 2019 in Athens, Greece, were organized...
Article
Full-text available
Background: A vast amount of mobile apps have been developed during the past few months in an attempt to “flatten the curve” of the increasing number of COVID-19 cases. Objective: This systematic review aims to shed light into studies found in the scientific literature that have used and evaluated mobile apps for the prevention, management, treatm...
Article
The advancements in health-care have brought to the foreground the need for flexible access to health-related information and created an ever-growing demand for efficient data management infrastructures. To this direction, many challenges must be first overcome, enabling seamless, effective and efficient access to several health data sets and novel...
Article
Full-text available
Sentiment analysis over social media platforms has been an active case of study for more than a decade. This occurs due to the constant rising of Internet users over these platforms, as well as to the increasing interest of companies for monitoring the opinion of customers over commercial products. Most of these platforms provide free, online servi...
Conference Paper
COVID-19 is a disease that has infected almost the whole world and has been pronounced as a global pandemic. The digital health domain has already tried to respond to the pandemic challenges by developing algorithms and applications that make predictions on the infection and the corresponding outcome in case of infection. In this direction, in this...
Conference Paper
Full-text available
The ongoing coronavirus pandemic, is affecting the lives of millions of people, while changing our society by establishing new norms for social life, business, and traveling. The digital health domain has already tried to respond to the pandemic challenges, by the rapid development and release of mobile apps aiming to "flatten the curve" of the inc...
Article
Full-text available
Over the last decade, there have been many changes in the field of political analysis at a global level. Through social networking platforms, millions of people have the opportunity to express their opinion and capture their thoughts at any time, leaving their digital footprint. As such, massive datasets are now available, which can be used by anal...
Conference Paper
Full-text available
During the burst of the coronavirus pandemic, in early-midst 2020, public health authorities worldwide considered appropriate identification, isolation and contact tracing as the most appropriate strategy for infection containment. This work presents an outbreak response tool, designed for public health authorities to effectively track suspect, pro...
Conference Paper
Full-text available
The COVID-19 pandemic has posed several challenges on citizens and health systems. Information and Communication Technology (ICT) can be a valuable tool in providing tools for self-assessment and reporting of physical symptoms, early detection of symptom changes, up to date information towards citizen empowerment, personalized recommendations and c...
Article
Full-text available
Chatbots, also known as conversation agents, are programs that are able to simulate and reproduce an intelligent conversation with humans. Although this type of program is not new, the explosion of the available information and the rapid increase of the users seeking this information have renewed the interest in their development. In this paper, we...
Article
Full-text available
Background: Patients undergoing elective surgery often face symptoms of anxiety and stress. Healthcare systems have limited time and resources to provide individualized stress relief interventions. Research has shown that stress relief interventions and educational resources can improve health outcomes and speed recovery. Objectives: Digital health...
Preprint
BACKGROUND A vast amount of mobile apps have been developed during the past few months in an attempt to “flatten the curve” of the increasing number of COVID-19 cases. OBJECTIVE This systematic review aims to shed light into studies found in the scientific literature, which have used and evaluated mobile apps for the prevention, management, treatm...
Article
Diagnosis is one of the most important tasks of health providers with a tremendous impact on patient's health and well-being. Although many diagnostic decision support systems have been proposed so far, with several advantages and disadvantages, we have not yet seen approaches trying to integrate the decision of individual systems to improve the qu...
Preprint
BACKGROUND The status of the data-driven management of cancer care as well as the challenges, opportunities, and recommendations aimed at accelerating the rate of progress in this field are topics of great interest. Two international workshops, one conducted in June 2019 in Cordoba, Spain, and one in October 2019 in Athens, Greece, were organized b...
Preprint
Full-text available
Many modern applications produce massive streams of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data series indexes that are used for this purpose do not scale well for massive datasets in terms of performance, or storage costs. We pinpoint the problem to the fact that existi...
Preprint
Many modern applications produce massive streams of data series and maintain them in indexes to be able to explore them through nearest neighbor search. Existing data series indexes, however, are expensive to operate as they issue many random I/Os to storage. To address this problem, we recently proposed Coconut, a new infrastructure that organizes...
Preprint
Many modern applications produce massive amounts of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data series indexes that are used for this purpose do not scale well for massive datasets in terms of performance, or storage costs. We pinpoint the problem to the fact that existi...
Preprint
Full-text available
The continuous and rapid growth of highly interconnected datasets, which are both voluminous and complex, calls for the development of adequate processing and analytical techniques. One method for condensing and simplifying such datasets is graph summarization. It denotes a series of application-specific algorithms designed to transform graphs into...
Chapter
A huge amount of data is generated each day from various sources. Analysis of these massive data is difficult, and requires new forms of processing to enable enhanced decision making, insight discovery and process optimization. In addition, besides their ever increasing volume, datasets change frequently, and as such, results to continuous queries...
Article
Full-text available
Providing useful resources to patients is essential in achieving the vision of participatory medicine. However, the problem of identifying pertinent content for a group of patients is even more difficult than identifying information for just one. Nevertheless, studies suggest that the group dynamics-based principles of behavior change have a positi...
Chapter
Full-text available
Significant improvements in cancer research have led to more cancer patients being cured, and many more enabled to live with their cancer. As the disease is now managed as a chronic illness, it requires long-term surveillance and maintenance treatment. This requires a transformation in the nature of healthcare from reactive to preventive, personali...
Chapter
Chronic pain is one of the most common health problems affecting daily activity, employment, relationships and emotional functioning. Unfortunately, the lack of specialized health care personnel, and the high heterogeneity in terms of clinical manifestation and treatment results contribute in failure to manage efficiently and effectively pain. Info...
Article
This paper analyzes the clinical and technological characteristics of cancer mobile apps that enable patients to securely record, manage, and share their information. It proposes an integrated approach towards developing quality mobile health apps for cancer and discusses issues relevant to the enhancement of patient experience and acceptance, adhe...