Panagiotis Mitzias received his M.Eng. in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2012.
He has been working as a software engineer in the field of industrial and home automations since 2013. Additionally, since 2014, Panagiotis has been working as a research associate and a software developer at the Information Technologies Institute (ITI) of the Centre for Research and Technology, Hellas (CERTH). With participation in a long series of EU-funded research projects, he has acquired an elaborate expertise in the design and implementation of complex system architectures in the domains of e-health, digital preservation, security and crisis management. He has also been the CTO of SentiGeek (2016-2018), managing the creation of its platform for the extraction of sentiment from text with the use of semantic technologies.
As a result, Panagiotis has developed a critical skill set in the application of natural language processing, ontologies, semantic web technologies, linked data and semantic reasoning. Last but not least, Panagiotis has several publications in international conferences and scientific journals.
M.Eng. in Electrical and Computer Engineering
Faculty of Engineering, Aristotle University of Thessaloniki
The Semantic Web vision, as described by W3C, is the idea of having data on the web defined and linked in a way that it can be used by machines not just for display purposes, but for automation, integration and reuse of data across various applications.
Applying and evolving Semantic Web technologies, such as ontology-related mechanisms, in the fields of Digital Preservation and Natural Language Processing is a research terrain of ultimate interest for me.
MKLab has extensive experience and expertise in semantic multimedia analysis, indexing and retrieval, social media and big data analytics, knowledge structures, reasoning and personalization for multimedia applications, eHealth and environmental applications.
PERICLES is a four-year project that aims to address the challenge of ensuring that digital content remains accessible in an environment that is subject to continual change. This can encompass not only technological change, but also changes in semantics, academic or professional practice, or society itself, which can affect the attitudes and interests of the various stakeholders that interact with the content. PERICLES will take a ‘preservation by design’ approach that involves modelling, capturing and maintaining detailed and complex information about digital content, the environment in which it exists, and the processes and policies to which it is subject.
PERICLES is an Integrated Project funded by the European Union under its Seventh Framework Programme (ICT Call 9).
Dem@Care aspires to contribute to the timely diagnosis, assessment, maintenance and promotion of self-independence of people with dementia, by deepening the understanding of how the disease affects their everyday life and behaviour. It implements a multi-parametric closed-loop remote management solution that affords adaptive feedback to the person with dementia, while at the same time including clinicians into the remote follow-up, enabling them to maintain a comprehensive view of the health status and progress of the affected person.
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 provide a conceptual model for capturing contextual and environmental dependencies, contributing to long-term digital preservation. This paper presents one of the key outcomes of the PERICLES FP7 project, the Linked Resource Model, for modelling dependencies as a set of evolving linked resources. The adoption of the proposed model and the consistency of its representation are evaluated via a specific instantiation involving the domain of digital video art.
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 the context of the PERICLES FP7 project that integrates currently investigated methods, such as text and structural similarity, into the popular ontology authoring platform, Protégé. The graphical user interface provides knowledge engineers and domain experts with access to methods and results without prior programming knowledge. Its applicability and usefulness are validated through two proof-of-concept scenarios in the domains of Web Services and Digital Preservation; especially the latter is a field where such long-term insights are crucial.
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 proposed approaches and tools focus on analysing natural language text and often neglect other more appropriate sources of information, such as the already structured and semantically rich sets of Linked Data. The paper presents PROPheT, a novel ontology population tool for retrieving instances from Linked Data sources and subsequently inserting them into an OWL ontology. The tool, to the best of our knowledge, offers entirely novel ontology population functionality to a great extent and has already been positively received according to user evaluation.
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 a framework for measuring semantic drift in ontologies across time or multiple versions, using text and structural similarity methods to provide valuable insights. Its applicability and usefulness are validated through a proof-of-concept scenario in Digital Preservation, where long-term insights about change are crucial, to track drift across a decade's worth of real-world digital media data.
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 ontology-based representation approach , which is based on the LRM, an upper-level ontology for describing dependencies between digital resources.
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 enriching the semantic descriptions with background knowledge, deriving thus higher level contextualised content interpretations that are closer to human perception and appraisal needs.
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 other content items and information about the object’s context of use.
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 information can be exploited in long-term digital preservation and proposes novel approaches for extracting this information in a scalable manner.
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 interdependent entities, such as files, software and documentation. Our approach is based on modelling of digital ecosystems, in which abstract representations are used to assess risks to sustainability and support tasks such as appraisal. The paper is based on work of the EU FP7 PERICLES project on digital preservation, and presents some general concepts as well as a description of selected research areas under investigation by the project.
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 preservation of videos and video art-works. This ODP has been developed within the PERICLES FP7 project.
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 a conceptual model for capturing contextual and environmental dependencies contributing to long-term digital preservation. This pa-per presents one of the key outcomes of the PERICLES FP7 project, the Linked Resource Model, for modelling dependencies as a set of evolving linked re-sources. The proposed model is evaluated via a domain-specific representation involving digital video art.
Please do not hesitate to contact me. I would be happy to talk to you if you need my assistance in your research or any other project in my range of expertise. Though, please excuse any delay in communications due to heavy workload.