@conference {824,
	title = {Implementing the infrastructure for Dimitris Papaioannou{\textquoteright}s archive:approaching the degrees of separation in his work},
	booktitle = {DARIAH 2023 (poster presentation)},
	year = {2023},
	abstract = {<p>Creating the infrastructure for an archive is considered, nowadays, to be a trivial procedure. Several tools (e.g. Omeka [2], CollectiveAccess[3], CollectionSpace[4]) and prototypes (eg. Dublin Core [5], VRA CORE [6]) are available for use in order to, either directly install and use a CMS for cultural related data (first case), or build a system {\textquotedblleft}from scratch{\textquotedblright} based on a common prototype (second case). This procedure would lead to the digitization of at least an archive{\textquoteright}s metadata and to the organization of the archive itself; it would offer the ability to search for information in the archive in an easy way, it would allow people to access the information of the archive, and it could also be part of a larger cultural data lake (Europeana). The solutions for these use cases, are extant, present and available. On the other hand, occasionally one comes across archives of artists that have a special view of art, are ahead of their time, design their own universe, and they keep evolving it throughout their life. In this paper, we discuss the implementation of the archive for Dimitiris Papaioannou, a diverse archive which includes several different types of data. In this case, we have selected a special approach, in order to fully capture the artistic aspects of the archive{\textquoteright}s content, which was analyzed in the context of the GENESIS project [1]. Throughout this project, the procedure through which the artist approaches the performance arts and generates ideas was recorded and analyzed. Following the aforementioned analysis, the archive material provides insight for the artist{\textquoteright}s visual arts, his dancing roads and his performances, and unveils his approach to performance arts (or art, in general). Then, the archive is structured in a way that would allow all archive visitors, including the general public as well as researchers, to obtain information about the individual elements of the work, but also locate the {\textquotedblleft}genetic material{\textquotedblright} of the artist into the archive. To achieve this goal, interdisciplinary research involving the cooperation of scientists and researchers from both the humanities and the technology domains was required. The research team designed an information layer entailing objective information (e.g. works, performances, participants and their roles etc.) and subjective information (e.g. tagging or free text descriptions), and accommodating semantic links between them. Metadata were also associated to information items, where applicable. The information layer fully serves the needs for information search and retrieval, while it additionally provides the underpinnings for data mining procedures that can possibly reveal patterns or data correlations that have remained unobserved.</p>
},
	keywords = {cultural informatics, Cultural Metadata, Cultural Semantics, Performance art},
	author = {Vassilis Poulopoulos and Eleni Papalexiou and Costas Vassilakis and Avra Xepapadakou and Valia Vraka}
}
@conference {mathas2018a,
	title = {Evaluation of Apache Spot\textquotesingles machine learning capabilities in an SDN/NFV enabled environment},
	booktitle = {Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES 2018},
	year = {2018},
	publisher = {ACM Press},
	organization = {ACM Press},
	abstract = {Software Defined Networking (SDN) and Network Function Virtualisation (NFV) are transforming modern networks towards a service-oriented architecture. At the same time, the cybersecurity industry is rapidly adopting Machine Learning (ML) algorithms to improve detection and mitigation of complex attacks. Traditional intrusion detection systems perform signature-based detection, based on well-known malicious traffic patterns that signify potential attacks. The main drawback of this method is that attack patterns need to be known in advance and signatures must be preconfigured. Hence, typical systems fail to detect a zero-day attack or an attack with unknown signature. This work considers the use of machine learning for advanced anomaly detection, and specifically deploys the Apache Spot ML framework on an SDN/NFV-enabled testbed running cybersecurity services as Virtual Network Functions (VNFs). VNFs are used to capture traffic for ingestion by the ML algorithm and apply mitigation measures in case of a detected anomaly. Apache Spot utilises Latent Dirichlet Allocation to identify anomalous traffic patterns in Netflow, DNS and proxy data. We evaluate the overall performance of Apache Spot by deploying Denial of Service (Slowloris, BoNeSi) and a Data Exfiltration attack (iodine).},
	keywords = {Apache Spot, Latent Dirichlet Allocation, Machine Learning, Network Function Virtualisation, Penetration Testing, SHIELD Project�, Software Defined Networking},
	doi = {10.1145/3230833.3233278},
	author = {Christos M. Mathas and Olga E. Segou and Georgios Xylouris and Dimitris Christinakis and Michail-Alexandros Kourtis and Costas Vassilakis and Anastasios Kourtis}
}
@proceedings {DBLP:conf/gis/2018,
	title = {Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2018, Seattle, WA, USA, November 06-09, 2018},
	year = {2018},
	publisher = {ACM},
	isbn = {978-1-4503-5889-7},
	url = {http://dl.acm.org/citation.cfm?id=3274895},
	editor = {Farnoush Banaei Kashani and Erik G. Hoel and Ralf Hartmut G{\"u}ting and Roberto Tamassia and Li Xiong}
}
@book {DBLP:reference/gis/2017,
	title = {Encyclopedia of GIS},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-319-17884-4},
	doi = {10.1007/978-3-319-17885-1},
	url = {https://doi.org/10.1007/978-3-319-17885-1},
	editor = {Shashi Shekhar and Hui Xiong and Xun Zhou}
}
@conference {541,
	title = {Towards Content-Based Publish/Subscribe for Distributed Social Networks},
	booktitle = {Proceedings of the International Conference on Distributed Event-Based Systems (DEBS)},
	year = {2015},
	month = {June},
	address = {Oslo, Norway},
	author = {Christos Tryfonopoulos and Paraskevi Raftopoulou and Vinay Setty and Argiris Xiros}
}
@proceedings {DBLP:conf/icdm/2013w,
	title = {13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013},
	year = {2013},
	publisher = {IEEE Computer Society},
	isbn = {978-0-7695-5109-8},
	url = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6732242},
	editor = {Wei Ding and Takashi Washio and Hui Xiong and George Karypis and Bhavani M. Thuraisingham and Diane J. Cook and Xindong Wu}
}
@conference {599,
	title = {Agents in Decentralised Information Ecosystems: The DIET Approach},
	booktitle = {Symposium on Information Agents for E-Commerce, AISB Convention},
	year = {2001},
	month = {March},
	address = {University of York, United Kingdom},
	abstract = {The complexity of the current global information infrastructure requires novel means of understanding and exploiting the dynamics of information. One means may be through the concept of an information ecosystem. An information ecosystem is analogous to a natural ecosystem in which there are flows of materials and energy analogous to information flow between many interacting individuals. This paper describes a multi-agent platform, DIET (Decentralised Information Ecosystem Technologies) that can be used to implement open, robust, adaptive and scalable ecosystem-inspired systems. We describe the design principles of the DIET software architecture, and present a simple example application based upon it. We go on to consider how the DIET system can be used to develop information brokering agents, and how these can contribute to the implementation of economic interactions between agents, as well as identifying some open questions relating to research in these areas. In this way we show the capacity of the DIET system to support applications using information agents.},
	author = {P. Marrow and Manolis Koubarakis and R.H. van Lengen and F. Valverde-Albacete and E. Bonsma and J. Cid-Suerio and A.R. Figueiras-Vidal and A. Gallardo-Antolin and C. Hoile and T. Koutris and H. Molina-Bulla and A. Navia-Vazquez and Paraskevi Raftopoulou and N. Skarmeas and Christos Tryfonopoulos and F. Wang and C. Xiruhaki}
}
@conference {aisb01-MKL+,
	title = {Agents in Decentralised Information Ecosystems: The DIET Approach},
	booktitle = {Proccedings of the Symposium on Information Agents for E-Commerce, AISB Convention},
	year = {2001},
	month = {March},
	pages = {109{\textendash}117},
	address = {York, UK},
	author = {P. Marrow and Manolis Koubarakis and R.H. van Lengen and F. Valverde-Albacete and E. Bonsma and J. Cid-Suerio and A.R. Figueiras-Vidal and A. Gallardo-Antolin and C. Hoile and T. Koutris and H. Molina-Bulla and A. Navia-Vazquez and Paraskevi Raftopoulou and N. Skarmeas and Christos Tryfonopoulos and F. Wang and C. Xiruhaki}
}
