Ioannis Vlahavas

Dr. Ioannis Vlahavas is a professor at the Department of Informatics at the Aristotle University of Thessaloniki. He received his Ph.D. degree in Logic Programming Systems from the same University in 1988. During the first half of 1997 he was a visiting scholar at the Department of CS at Purdue University. He specializes in logic programming, knowledge based and AI systems and he has published over 100 papers, 9 book chapters and co-authored 4 books in these areas. He teaches logic programming, AI, expert systems, and DSS. He has been involved in more than 15 research projects, leading most of them. He was the chairman of the 2nd Hellenic Conference on AI and the local organizer of the 2nd International Summer School on AI Planning. He is leading the Logic Programming and Intelligent Systems Group (LPIS Group, lpis.csd.auth.gr) (more information at www.csd.auth.gr/~vlahavas)

Publications

Machine Learning and Data Mining in Bioinformatics
Machine Learning and Data Mining in Bioinformatics
George Tzanis, Christos Berberidis, Ioannis Vlahavas. © 2012. 9 pages.
Machine learning is one of the oldest subfields of artificial intelligence and is concerned with the design and development of computational systems that can adapt themselves and...
Distributed Data Mining
Distributed Data Mining
Grigorios Tsoumakas, Ioannis Vlahavas. © 2009. 8 pages.
The continuous developments in information and communication technology have recently led to the appearance of distributed computing environments, which comprise several, and...
Machine Learning and Data Mining in Bioinformatics
Machine Learning and Data Mining in Bioinformatics
George Tzanis, Christos Berberidis, Ioannis Vlahavas. © 2009. 10 pages.
Machine learning is one of the oldest subfields of artificial intelligence and is concerned with the design and development of computational systems that can adapt themselves and...
Artificial Intelligence for Advanced Problem Solving Techniques
Artificial Intelligence for Advanced Problem Solving Techniques
Ioannis Vlahavas, Dimitris Vrakas. © 2008. 388 pages.
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to...
Reinforcement Learning and Automated Planning: A Survey
Reinforcement Learning and Automated Planning: A Survey
Ioannis Partalas, Dimitris Vrakas, Ioannis Vlahavas. © 2008. 18 pages.
This article presents a detailed survey on Artificial Intelligent approaches, that combine Reinforcement Learning and Automated Planning. There is a close relationship between...
Biological Data Mining
Biological Data Mining
George Tzanis, Christos Berberidis, Ioannis Vlahavas. © 2008. 10 pages.
At the end of the 1980s, a new discipline named data mining emerged. The introduction of new technologies such as computers, satellites, new mass storage media, and many others...
E-mail Mining: Emerging Techniques for E-Mail Management
E-mail Mining: Emerging Techniques for E-Mail Management
Ioannis Katakis, Grigorios Tsoumakas, Ioannis Vlahavas. © 2007. 24 pages.
Email has met tremendous popularity over the past few years. People are sending and receiving many messages per day, communicating with partners and friends, or exchanging files...
A Defeasible Logic Reasoner for the Semantic Web
A Defeasible Logic Reasoner for the Semantic Web
Nick Bassiliades, Grigoris Antoniou, Ioannis Vlahavas. © 2006. 41 pages.
Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology...
R-DEVICE: An Object-Oriented Knowledge Base for RDF Metadata
R-DEVICE: An Object-Oriented Knowledge Base for RDF Metadata
Nick Bassiliades, Ioannis Vlahavas. © 2006. 67 pages.
In this paper we present R-DEVICE, a deductive object-oriented knowledge base system for reasoning over RDF metadata. R-DEVICE imports RDF documents into the CLIPS production...
Intelligent Techniques for Planning
Intelligent Techniques for Planning
Ioannis Vlahavas, Dimitris Vrakas. © 2005. 364 pages.
Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the...
Biological Data Mining
Biological Data Mining
George Tzanis, Christos Berberidis, Ioannis Vlahavas. © 2005. 7 pages.
At the end of the 1980s, a new discipline named data mining emerged. The introduction of new technologies such as computers, satellites, new mass storage media, and many others...
Machine Learning for Adaptive Planning
Machine Learning for Adaptive Planning
Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliakes, Ioannis Vlahavas. © 2005. 31 pages.
This chapter is concerned with the enhancement of planning systems using techniques from Machine Learning in order to automatically configure their planning parameters according...
A Knowledge-Based Web Information System for the Fusion of Distributed Classifers
A Knowledge-Based Web Information System for the Fusion of Distributed Classifers
Grigorios Tsoumakas, Nick Bassiliades, Ioannis Vlahavas. © 2004. 37 pages.
This chapter presents the design and development of WebDisC, a knowledge-based web information system for the fusion of classifiers induced at geographically distributed...
Using Logic for Querying XML Data
Using Logic for Querying XML Data
Nick Bassiliades, Ioannis Vlahavas, Dimitros Sampson. © 2003. 35 pages.
In this chapter, we propose the use of first-order logic, in the form of deductive database rules, as a query language for XML data, and we present X-Device, an extension of the...