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Panagiotis Mitzias

Panagiotis Mitzias
Catalink Ltd

Master of Engineering

About

24
Publications
6,678
Reads
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112
Citations
Introduction
Panagiotis Mitzias received his M.Eng. in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2012. Since 2014, he works as a research associate and a senior software engineer. With participation in a long series of EU-funded research projects, he has developed a critical skill set in the application of semantic technologies, knowledge graphs, linked data, semantic reasoning and NLP.
Additional affiliations
March 2014 - present
The Centre for Research and Technology, Hellas
Position
  • Research Associate
Description
  • Participated in the projects Dem@Care and PERICLES. - demcare.eu - pericles-project.eu
Education
October 2005 - July 2012
Aristotle University of Thessaloniki
Field of study
  • Electrical and Computer Engineering

Publications

Publications (24)
Conference Paper
The Web and social media nowadays play an increasingly significant role in spreading terrorism-related propaganda and content. In order to deploy counterterrorism measures, authorities rely on automated systems for analysing text, multimedia, and social media content on the Web. However, since each of these systems is an isolated solution, investig...
Chapter
Full-text available
Understanding the current situation is critical in every natural disaster or crisis. Therefore, there is a need for accurate and up-to-date information about the scope, extent and impact of a disaster. The basis for this information is data that is available through a variety of sensors. Decision Support Systems (DSSs) support decision makers in di...
Conference Paper
Full-text available
During climate-related crises vast volumes of heterogeneous multimodal information are generated. Meaningfully processing and communicating this information for efficient decision support is a key challenge. The paper describes applying Semantic Web technologies for decision support during such crises. We are proposing the application of these tech...
Article
Full-text available
Understanding the current situation is critical in every natural disaster or crisis. Therefore, there is a need for accurate and up-to-date information about the scope, extent and impact of a disaster. The basis for this information is data that is available through a variety of sensors. Decision Support Systems (DSSs) support decision makers in di...
Chapter
Full-text available
Ontologies are a rapidly emerging paradigm for knowledge representation, with a growing number of applications in various domains. However, populating ontologies with massive volumes of data is an extremely challenging task. The field of ontology population offers a wide array of approaches for populating ontologies in an automated or semi-automate...
Article
Full-text available
The rise of the Semantic Web has provided cultural heritage researchers and practitioners with several tools for providing semantically rich representations and interoperability of cultural heritage collections. Although indeed offering a lot of advantages, these tools, which come mostly in the form of ontologies and related vocabularies, do not pr...
Conference Paper
Full-text available
One of the most critical challenges faced by authorities during the management of a climate-related crisis is the overwhelming flow of heterogeneous information coming from humans and deployed sensors (e.g. cameras, temperature measurements, etc.), which has to be processed in order to filter meaningful items and provide crisis decision support. To...
Conference Paper
Full-text available
In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. Decision Support Systems (DSSs) for disaster and crisis situations need to solve the problem of facilitating the...
Conference Paper
Full-text available
Ontologies are a rapidly emerging paradigm for knowledge representation, with a growing number of applications in data-intensive domains. However, populating enterprise-level ontologies with massive volumes of data is a non-trivial and laborious task. Towards tackling this problem, the field of ontology population offers a multitude of approaches f...
Conference Paper
Full-text available
Semantic drift is an active research field, which aims to identify and measure changes in ontologies across time and versions. Yet, only few practical methods have emerged that are directly applicable to Semantic Web constructs, while the lack of relevant applications and tools is even greater. This paper presents the findings, current limitations...
Conference Paper
Full-text available
Semantic drift is an active research field, which aims to identify and measure changes in ontologies across time and versions. Yet, only few practical methods have emerged that are directly applicable to Semantic Web constructs, while the lack of relevant applications and tools is even greater. This paper presents a novel software tool developed in...
Conference Paper
Full-text available
In order for ontology-based applications to be deployed in real-life scenarios, significant volumes of data are required to populate the underlying models. Populating ontologies manually is a time-consuming and error-prone task and, thus, research has shifted its attention to automatic ontology population methodologies. However, the majority of the...
Conference Paper
Full-text available
Semantic drift is an active field of research, aiming to identify and measure changes in ontologies across time and versions, closely related to ontology evolution. However, practical and widely adopted methods that are directly applicable to Semantic Web constructs have yet to emerge. Building upon and extending existing work, this paper presents...
Conference Paper
Full-text available
The fields of Digital Humanities and Digital Preservation are not yet enjoying the full potential of the Semantic Web and relevant technologies, largely due to the highly contextualized nature of their source materials. This paper addresses the issue of representing context and use-context (i.e. context of use) of digital content, by proposing an o...
Technical Report
Full-text available
This document summarises the work conducted within task T4.4 of WP4, presenting our proposed models for semantically representing digital content and its respective context – the latter refers to any information coming from the environment of the digital object (DO) that offers better insight into the object’s status, its interrelationships with ot...
Chapter
Full-text available
Management of change is essential to ensure the long-term reusabil-ity of digital assets. Change can be brought about in many ways, including through technological, user community and policy factors. Motivated by case studies in space science and time-based media, we consider the impact of change on complex digital objects comprising multiple inter...
Technical Report
Full-text available
This document summarizes the work conducted within task T4.3 of WP4, focusing on the extraction and the subsequent analysis of semantic information from digital content, which is imperative for its preservability. More specifically, the deliverable defines content semantic information from a visual and textual perspective, explains how this informa...
Technical Report
Full-text available
The current deliverable summarizes the work conducted within task T4.5 of WP4, presenting our proposed approaches for contextualized content interpretation, aimed at gaining insightful contextualized views on content semantics. This is achieved through the adoption of appropriate context-aware semantic models developed within the project, and via e...
Conference Paper
Full-text available
In this paper we introduce an ODP for representing digital video resources. The aim is to model digital video files, their components and other associated entities, such as codecs and containers. The proposed design pattern facilitates the creation of relevant domain ontologies that will be deployed in the fields of media archiving and digital pres...
Conference Paper
Full-text available
The rise of the Semantic Web has provided cultural heritage researchers and practitioners with several tools for ensuring semantic-rich representations and interoperability of cultural heritage collections. Although indeed offering a lot of advantages, these tools, which come mostly in the form of ontologies and related vocabularies, do not provide...
Poster
Full-text available
Poster illustrating an ODP for representing Digital Videos.

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Projects

Projects (6)
Project
beAWARE proposes an integrated solution to support forecasting, early warnings, transmission and routing of the emergency data, aggregated analysis of multimodal data and management the coordination between the first responders and the authorities. Our intention is to rely on platforms, theories and methodologies that are already used for disaster forecasting and management and add the elements that are necessary to make them working efficiently and in harm under the same objective.
Project
ROBORDER aims at developing and demonstrating a fully-functional autonomous border surveillance system with unmanned mobile robots including aerial, water surface, underwater and ground vehicles which will incorporate multimodal sensors as part of an interoperable network. Our intention is to implement a heterogenous robot system and enhance it with detection capabilities for early identification of criminal activities at border and coastal areas along with marine pollution events.