@inbook {DBLP:reference/db/Skiadopoulos18,
	title = {Cardinal Direction Relationships},
	booktitle = {Encyclopedia of Database Systems, Second Edition},
	year = {2018},
	doi = {10.1007/978-1-4614-8265-9_45},
	url = {https://doi.org/10.1007/978-1-4614-8265-9_45},
	author = {Spiros Skiadopoulos}
}
@conference {591,
	title = {A crawler architecture for harvesting the clear, social, and dark web for IoT-related cyber-threat intelligence},
	booktitle = {In Proceedings of the IEEE Workshop on Cyber Security \& Resilience in the Internet of Things (CSRIoT @ IEEE Services)},
	year = {2016},
	month = {July 2016},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Milan, Italy},
	abstract = {The clear, social, and dark web have lately been identified as rich sources of valuable cyber-security information that {\textendash}given the appropriate tools and methods{\textendash} may be identified, crawled and subsequently leveraged to actionable cyber- threat intelligence. In this work, we focus on the information gathering task, and present a novel crawling architecture for transparently harvesting data from security websites in the clear web, security forums in the social web, and hacker fo- rums/marketplaces in the dark web. The proposed architecture adopts a two-phase approach to data harvesting. Initially a machine learning-based crawler is used to direct the harvesting towards websites of interest, while in the second phase state- of-the-art statistical language modelling techniques are used to represent the harvested information in a latent low-dimensional feature space and rank it based on its potential relevance to the task at hand. The proposed architecture is realised using exclusively open-source tools, and a preliminary evaluation with crowdsourced results demonstrates its effectiveness.},
	keywords = {crawling architecture, cyber-security, cyber-threat intelligence, IoT, language models, Machine Learning},
	url = {http://users.uop.gr/ trifon/papers/pdf/csriot19-KCTS.pdf},
	author = {Paris Koloveas and Thanasis Chantzios and Christos Tryfonopoulos and Spiros Skiadopoulos}
}
@conference {DBLP:conf/kcap/TsafaraTSZ15,
	title = {Cloud-Based Data and Knowledge Management for Multi-Centre Biomedical Studies},
	booktitle = {Proceedings of the 8th International Conference on Knowledge Capture, K-CAP 2015, Palisades, NY, USA, October 7-10, 2015},
	year = {2015},
	pages = {24:1{\textendash}24:4},
	doi = {10.1145/2815833.2816949},
	url = {https://doi.org/10.1145/2815833.2816949},
	author = {Amalia Tsafara and Christos Tryfonopoulos and Spiros Skiadopoulos and Lefteris Zervakis}
}
@conference {563,
	title = {Cloud-Based Data and Knowledge Management for Multi-Centre Biomedical Studies},
	booktitle = {Proceedings of the International Conference on Knowledge Capture (K-CAP)},
	year = {2015},
	month = {October 7-10},
	address = {Palisades NY, USA},
	abstract = {Among the basic research tools for (bio)medical science are epidemiological studies that typically involve a number of hospitals, clinics, and research centres scattered around the world, and are often referred to as multi-centre studies. Clearly, the effectiveness and importance of a multi-centre study increases with the number of participating centres and enrolled patients, but at the same time this natural distribution in the production of research data requires sophisticated data management infrastructures to support the participating units. This kind of infrastructure is not only expensive to build and maintain, but also cannot be reused as it is often tailored to a specific study. In this work, we present a cloud-based system, coined CLOUDSTUDY, that allows users without any computer science background to design, deploy, and administer platforms aimed for managing, sharing, and analysing clinical data from multi-centre studies. The CLOUDSTUDY system provides a zero-administration, zero-cost online tool for creating multi- centre studies that (i) enhances re-usability by introducing study templates, (ii) supports (bio)medical needs through specialised data types, and (iii) emphasises data filtering/export through an expressive yet simple graphical query engine.},
	doi = {10.1145/2815833.2816949},
	url = {https://doi.org/10.1145/2815833.2816949},
	author = {Amalia Tsafara and Christos Tryfonopoulos and Spiros Skiadopoulos and Lefteris Zervakis}
}
@conference {DBLP:conf/bibe/TsafaraTS13,
	title = {CloudStudy: A cloud-based system for supporting multi-centre studies},
	booktitle = {13th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2013, Chania, Greece, November 10-13, 2013},
	year = {2013},
	pages = {1{\textendash}4},
	doi = {10.1109/BIBE.2013.6701549},
	url = {https://doi.org/10.1109/BIBE.2013.6701549},
	author = {Amalia Tsafara and Christos Tryfonopoulos and Spiros Skiadopoulos}
}
@inbook {DBLP:reference/db/Skiadopoulos09,
	title = {Cardinal Direction Relationships},
	booktitle = {Encyclopedia of Database Systems},
	year = {2009},
	pages = {305{\textendash}308},
	doi = {10.1007/978-0-387-39940-9_45},
	url = {https://doi.org/10.1007/978-0-387-39940-9_45},
	author = {Spiros Skiadopoulos}
}
@article {DBLP:journals/tkde/SkiadopoulosSSK07a,
	title = {Correction to "A Family of Directional Relation Models for Extended Objects"},
	journal = {IEEE Trans. Knowl. Data Eng.},
	volume = {19},
	number = {10},
	year = {2007},
	pages = {1448},
	doi = {10.1109/TKDE.2007.190653},
	url = {https://doi.org/10.1109/TKDE.2007.190653},
	author = {Spiros Skiadopoulos and Nikos Sarkas and Timos K. Sellis and Manolis Koubarakis}
}
@article {DBLP:journals/tkde/SkiadopoulosGSVSK05,
	title = {Computing and Managing Cardinal Direction Relations},
	journal = {IEEE Trans. Knowl. Data Eng.},
	volume = {17},
	number = {12},
	year = {2005},
	pages = {1610{\textendash}1623},
	doi = {10.1109/TKDE.2005.192},
	url = {https://doi.org/10.1109/TKDE.2005.192},
	author = {Spiros Skiadopoulos and Christos Giannoukos and Nikos Sarkas and Panos Vassiliadis and Timos K. Sellis and Manolis Koubarakis}
}
@article {DBLP:journals/ai/SkiadopoulosK05,
	title = {On the consistency of cardinal direction constraints},
	journal = {Artif. Intell.},
	volume = {163},
	number = {1},
	year = {2005},
	pages = {91{\textendash}135},
	doi = {10.1016/j.artint.2004.10.010},
	url = {https://doi.org/10.1016/j.artint.2004.10.010},
	author = {Spiros Skiadopoulos and Manolis Koubarakis}
}
@article {DBLP:journals/ai/SkiadopoulosK04,
	title = {Composing cardinal direction relations},
	journal = {Artif. Intell.},
	volume = {152},
	number = {2},
	year = {2004},
	pages = {143{\textendash}171},
	doi = {10.1016/S0004-3702(03)00137-1},
	url = {https://doi.org/10.1016/S0004-3702(03)00137-1},
	author = {Spiros Skiadopoulos and Manolis Koubarakis}
}
@conference {DBLP:conf/edbt/SkiadopoulosGVSK04,
	title = {Computing and Handling Cardinal Direction Information},
	booktitle = {Advances in Database Technology - EDBT 2004, 9th International Conference on Extending Database Technology, Heraklion, Crete, Greece, March 14-18, 2004, Proceedings},
	year = {2004},
	pages = {329{\textendash}347},
	doi = {10.1007/978-3-540-24741-8_20},
	url = {https://doi.org/10.1007/978-3-540-24741-8_20},
	author = {Spiros Skiadopoulos and Christos Giannoukos and Panos Vassiliadis and Timos K. Sellis and Manolis Koubarakis}
}
@conference {DBLP:conf/dawak/ManiatisVSV03,
	title = {CPM: A Cube Presentation Model for OLAP},
	booktitle = {Data Warehousing and Knowledge Discovery, 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings},
	year = {2003},
	pages = {4{\textendash}13},
	doi = {10.1007/978-3-540-45228-7_2},
	url = {https://doi.org/10.1007/978-3-540-45228-7_2},
	author = {Andreas S. Maniatis and Panos Vassiliadis and Spiros Skiadopoulos and Yannis Vassiliou}
}
@conference {DBLP:conf/dolap/VassiliadisSS02,
	title = {Conceptual modeling for ETL processes},
	booktitle = {DOLAP 2002, ACM Fifth International Workshop on Data Warehousing and OLAP, November 8, 2002, McLean, VA, USA, Proceedings},
	year = {2002},
	pages = {14{\textendash}21},
	doi = {10.1145/583890.583893},
	url = {https://doi.org/10.1145/583890.583893},
	author = {Panos Vassiliadis and Alkis Simitsis and Spiros Skiadopoulos}
}
@conference {DBLP:conf/cp/SkiadopoulosK02,
	title = {Consistency Checking for Qualitative Spatial Reasoning with Cardinal Directions},
	booktitle = {Principles and Practice of Constraint Programming - CP 2002, 8th International Conference, CP 2002, Ithaca, NY, USA, September 9-13, 2002, Proceedings},
	year = {2002},
	pages = {341{\textendash}355},
	doi = {10.1007/3-540-46135-3_23},
	url = {https://doi.org/10.1007/3-540-46135-3_23},
	author = {Spiros Skiadopoulos and Manolis Koubarakis}
}
@conference {DBLP:conf/ssd/SkiadopoulosK01,
	title = {Composing Cardinal Direction Relations},
	booktitle = {Advances in Spatial and Temporal Databases, 7th International Symposium, SSTD 2001, Redondo Beach, CA, USA, July 12-15, 2001, Proceedings},
	year = {2001},
	pages = {299{\textendash}320},
	doi = {10.1007/3-540-47724-1_16},
	url = {https://doi.org/10.1007/3-540-47724-1_16},
	author = {Spiros Skiadopoulos and Manolis Koubarakis}
}
