Kalliopi Kravari - Academia.edu (original) (raw)

Papers by Kalliopi Kravari

MOLECULAR SCIENCES AND APPLICATIONS

The study focused on employing Molecular Dynamics Simulations to determine the dipole moment of N... more The study focused on employing Molecular Dynamics Simulations to determine the dipole moment of Novichok A-agents, which are notorious as Chemical Warfare agents. These simulations were conducted at the level of isolated molecules, allowing for a focused analysis of the dipole moment's behavior within the agents. Molecular Dynamics Simulations were chosen as the primary tool for estimating the dipole moment due to their unique advantages. By simulating the behavior of molecules in a virtual environment, MDS provides a quick and efficient means of estimating crucial properties. This is particularly significant for substances like Novichok A-agents, which are associated with high toxicity and extreme sensitivity, making traditional experimental methods challenging. The simulations were executed on isolated molecules, an approach that simplifies the analysis and enables a more direct examination of the dipole moment's characteristics. This focused perspective contributes to the...

Zenodo (CERN European Organization for Nuclear Research), Mar 23, 2022

Natural and man-made disasters are happening more and more often, leading to hundreds of casualti... more Natural and man-made disasters are happening more and more often, leading to hundreds of casualties and significant catastrophic consequences. Unfortunately, they are affecting not only urban centers, outdoor settlements, and infrastructure, but also world cultural and natural heritage sites. Many of these monuments, which are included in the UNESCO World Heritage List, are at risk due to even moderate natural or manmade hazards, given the structural vulnerability created over the course of their hundreds or even millennia of existence. In this context, for several years, the issue of the risks of World Heritage sites has been of concern to UNESCO and in particular the World Heritage Center. Following this effort, the present work aims to enrich methods and techniques with the help of advanced information technologies and in particular a combination of Artificial Intelligence (AI), Virtual and Augmented Reality, and the Internet of Things (IoT). The article presents the first steps towards a holistic and easily adaptable methodology, forming the so-called INBO (IN-DEX + BOOKLET = INBO), a novel combination of INDEX (catalogue) and IT Booklet, which will allow both monument monitoring and real-time emergency response. This methodology will improve the way in which first responders and monument managers, even visitors, react and handle the information provided. INBO will allow the right prognosis to be achieved by leading to timely and smart decisions that will help prevent potential damage to the cultural heritage. The Ancient City of Philippi will serve as a pilot study for the approach. The archaeological site of Philippi, located in Northern Greece, is one of the heritage sites, listed on the UNESCO World Heritage List.

Communications in computer and information science, 2022

Studies in computational intelligence, 2023

Proceedings of the 26th Pan-Hellenic Conference on Informatics, Nov 25, 2022

OTM Conferences (2), 2017

The Internet of Things is coming and it has the potential to change our daily life. Yet, such a l... more The Internet of Things is coming and it has the potential to change our daily life. Yet, such a large scaled environment needs a semantic background to achieve interoperability and knowledge diffusion. Furthermore, this open, distributed and heterogeneous environment raises important challenges, such as trustworthiness among the various types of devices and participants. Developing and sharing ontologies that support trust management models and applications would be an effective step in achieving semantic interoperability on a large scale. Currently, most of the ontologies and semantic description frameworks in the Internet of Things are either context-based or at an early stage. This paper reports on identifying and incorporating social and non-social parameters involved in the Internet of Things in a general-purpose ontology that will support trust management. This ontology will include among others data and semantics about trust principles, involved parties, characteristics of entities, rating parameters, rule-based mechanisms, confidence and dishonesty in the environment. Defining an ontology and using semantic descriptions for data related to trustworthiness issues will provide an important instrument in developing distributed trust (reputation) models.

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC), 2021

Today, the Internet of Things, Big Data and Machine Learning are a regular part of people's d... more Today, the Internet of Things, Big Data and Machine Learning are a regular part of people's daily lives, especially for the elderly or the so-called Silver Economy. There are more and more applications in which collecting and storing information about users (and their context) to produce classifications and predictions allows the optimisation of the services offered, improving the life quality of the citizens. In this sense, leisure cruises represent environments where it is necessary to provide quality services for a reasonable price. This requires understandings the behaviour of users both locally (i.e. each cruise) and globally (i.e. all cruises). In this respect, IoT, Big Data and Machine Learning are presented as ideal technologies for prediction-making and the improvement of the quality of services. However, on ships at sea the transfer rate of the Internet connection is limited. In this sense, Edge Computing allows taking part in the application computing to the Edge of the network, closer to the IoT layer. Data can be filtered and pre-processed in the Edge before it is transmitted to the Cloud, reducing its volume and the associated costs of its computing and storage in the Cloud. Machine Learning algorithms can also be applied to recognise patterns and anomalies on the Edge itself, even if the connectivity with the Cloud is lost. In this paper, we propose the design of a platform which aims to improve the quality of life of the elderly on leisure cruises.

Lecture Notes in Networks and Systems, 2021

Lecture Notes in Computer Science, 2012

Multi-agent systems are considered a modern medium of communication and interaction with limited ... more Multi-agent systems are considered a modern medium of communication and interaction with limited or no human intervention. As intelligent agents are gradually enriched with Semantic Web technology, their use is constantly increasing. To this end, the degree of trust that can be invested in a certain agent is recognized as a vital issue. Current trust models are mainly based on agents' direct experience (interaction trust) or reports provided by others (witness reputation). Though, lately, some combinations of them (hybrid models) were also proposed. To overcome their main drawbacks, in this paper we propose HARM, a hybrid, rule-based reputation model based on temporal defeasible logic. It combines the advantages of the hybrid approach and the benefits of a rule-based reputation modeling approach, providing a stable and realistic estimation mechanism with low bandwidth and computational complexity. Moreover, an evaluation of the reputation model is presented, demonstrating the added value of the approach.

Lecture Notes in Computer Science, 2010

The Semantic Web aims at automating Web content understanding and user request satisfaction. Inte... more The Semantic Web aims at automating Web content understanding and user request satisfaction. Intelligent agents assist towards this by performing complex actions on behalf of their users into real-life applications, such as e-Contracts, which make transactions simple by modeling the processes involved. This paper, presents a policy-based workflow methodology for efficient contract agreement among agents interacting in the Semantic Web. In addition, we present the integration of this methodology into a multi-agent knowledgebased framework, providing flexibility, reusability and interoperability of behavior between agents. The main advantage of our approach is that it provides a safe, generic, and reusable framework for modeling and monitoring e-Contract agreements, which could be used for different types of on-line transactions among agents. Furthermore, our framework is based on Semantic Web and FI-PA standards, to maximize interoperability and reusability. Finally, an e-Commerce contract negotiation scenario is presented that illustrates the usability of the approach.

Lecture Notes in Computer Science, 2011

The vision of the Semantic Web allows users to delegate complex actions to intelligent agents, wh... more The vision of the Semantic Web allows users to delegate complex actions to intelligent agents, which will act on behalf of their users in a variety of real-life applications. This paper focuses on two Semantic Web enabled multiagent systems, EMERALD and Rule Responder, which can be employed to assist communities of users based on Semantic Web and multi-agent standards such as RDF, OWL, RuleML, and FIPA. The present work demonstrates how these multi-agent systems can interoperate to automate collaboration across communities using a declarative, knowledge-based approach. In addition, a multi-step interaction scenario among agents is presented, demonstrating the usefulness of interoperating between the above systems, exemplifying a general approach to cross-community collaboration.

Studies in Computational Intelligence, 2009

Based on the plethora of proposals and standards for logic-and rulebased reasoning for the Semant... more Based on the plethora of proposals and standards for logic-and rulebased reasoning for the Semantic Web (SW), a key factor for the success of SW agents is interoperability of reasoning tasks. This paper reports on the first steps towards a framework for interoperable reasoning among agents in the SW that deploys third-party trusted reasoning services. This way, agents can exchange their arguments, without the need to conform to a common rule or logic paradigm-via an external reasoning service, the receiving agent can grasp the semantics of the received rule set. The paper presents how a multi-agent system was extended with a third-party trusted defeasible reasoning service, which offers agents the ability of reasoning with incomplete and inconsistent information. In addition, a brokering trade scenario is presented that illustrates the usability of the approach.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010

The Semantic Web aims at augmenting the WWW with meaning, assisting people and machines in compre... more The Semantic Web aims at augmenting the WWW with meaning, assisting people and machines in comprehending Web content and better satisfying their requests. Intelligent agents are considered to be greatly favored by Semantic Web technologies, because of the interoperability the latter will achieve. One of the main problems in agent interoperation is the great variety in reasoning formalisms, as agents do not necessarily share a common rule or logic formalism. This paper reports on the implementation of EMERALD, a knowledge-based framework for interoperating intelligent agents in the Semantic Web. More specifically, a multi-agent system was developed on top of JADE, featuring trusted, third party reasoning services, a reusable agent prototype for knowledge-customizable agent behavior, as well as a reputation mechanism for ensuring trust in the framework. Finally, a use case scenario is presented that illustrates the viability of the proposed framework.

Lecture Notes in Business Information Processing, 2010

Abstract. Semantic Web will transform the way people satisfy their requests letting them delegate... more Abstract. Semantic Web will transform the way people satisfy their requests letting them delegate complex actions to intelligent agents, which will act on behalf of their users into real-life applications, under uncertain and risky situations. Thus, trust has already been recognized as a key issue in Multi-Agent Systems. Current computational trust models are usually built either on an agent&#x27;s direct experience or reports provided by others. In order to combine the advantages and overcome the drawbacks of these approaches, namely ...

The Semantic Web aims to offer an interoperable environment that will allow users to safely deleg... more The Semantic Web aims to offer an interoperable environment that will allow users to safely delegate complex actions to intelligent agents. Much work has been done for agents ' interoperability; especially in the areas of ontology-based metadata and rule-based reasoning. Nevertheless, the SW proof layer has been neglected so far, although it is vital for agents and humans to understand how a result came about, in order to increase the trust in the interchanged information. This paper focuses on the implementation of third party SW reasoning and proofing services wrapped as agents in a multi-agent framework. This way, agents can exchange and justify their arguments without the need to conform to a common rule paradigm. Via external reasoning and proofing services, the receiving agent can grasp the semantics of the received rule set and check the validity of the inferred results. 1

— The Semantic Web aims at making Web content understandable both for people and machines. Althou... more — The Semantic Web aims at making Web content understandable both for people and machines. Although intelligent agents can assist towards this vision, they do not have to conform to a common rule or logic paradigm. This paper reports on the first steps towards a framework for interoperating knowledge-based intelligent agents. A multi-agent system was extended with defeasible reasoning and a reusable agent model is proposed for customizable agents, equipped with a knowledge base and a Jess rule engine. Two use case scenarios display the integration of these technologies.

The Semantic Web aims at enriching information with well-defined semantics, making it possible bo... more The Semantic Web aims at enriching information with well-defined semantics, making it possible both for people and machines to understand Web content. Intelligent agents are the most prominent approach towards realizing this vision. Nevertheless, agents do not necessarily share a common rule or logic formalism, neither would it be realistic to attempt imposing specific logic formalisms in a rapidly changing world like the Web. Thus, based on the plethora of proposals and standards for logic- and rule-based reasoning for the Semantic Web, a key factor for the success of Semantic Web agents lies in the interoperability of reasoning tasks. This paper reports on the implementation of trusted, third party reasoning services wrapped as agents in a multi-agent system framework. This way, agents can exchange their arguments, without the need to conform to a common rule or logic paradigm – via an external reasoning service, the receiving agent can grasp the semantics of the received rule set...

Abstract. In order for automated agent-based e-Commerce transactions to blossom, well-defined, an... more Abstract. In order for automated agent-based e-Commerce transactions to blossom, well-defined, analyzable and easily customizable interaction protocols or choreographies of involved parties need to be developed. Although, several domaindepended protocols have already been developed, efficient methodologies and technologies for facilitating the definition, deployment, reuse and maintenance of interaction protocols should be developed. This paper proposes a rule-based, reusable, analyzable and easily comprehensible by the user choreography definition methodology, called K-SWAN. Τhe proposed choreography scheme separates the definition of the agent shared interaction protocol from the private agent interaction strategy and enables agents to choose the appropriate protocol for the transaction, from a library of re-usable interaction protocols, and automatically combine it with their personal strategy, from a private library, by using SW technologies for both. Complying with K-SWAN metho...