A5034034086- Data Management and Algorithms
- Data Quality and Management
- Privacy-Preserving Technologies in Data
- Geographic Information Systems Studies
- Semantic Web and Ontologies
- Economic and Environmental Valuation
- Advanced Database Systems and Queries
- Urban Transport and Accessibility
- Rural development and sustainability
- Land Use and Ecosystem Services
- Migration, Aging, and Tourism Studies
- Diverse Aspects of Tourism Research
- Urban Planning and Valuation
- Cultural Heritage Management and Preservation
- Big Data and Business Intelligence
- Cultural Industries and Urban Development
- Urban Green Space and Health
- Place Attachment and Urban Studies
- Regional resilience and development
- Cloud Data Security Solutions
- Image Retrieval and Classification Techniques
- Logic, Reasoning, and Knowledge
- Housing Market and Economics
- Constraint Satisfaction and Optimization
Aristotle University of Thessaloniki
2016-2022
École Polytechnique Fédérale de Lausanne
2017-2020
National Technical University of Athens
2011-2016
National and Kapodistrian University of Athens
2013-2014
Big Earth-observation (EO) data that are made freely available by space agencies come from various archives. Therefore, users trying to develop an application need search within these archives, discover the needed data, and integrate them into their application. In this article, we argue if EO published using linked paradigm, then discovery, integration, development of applications becomes easier. We present life cycle big, linked, open show how support stages software stack developed...
Data cleaning is a time-consuming process that depends on the data analysis users perform. Existing solutions treat as separate offline takes place before begins. Applying assumes priori knowledge of inconsistencies and query workload, thereby requiring effort understanding unnecessary for analysis. We propose an approach performs probabilistic repair denial constraint violations on-demand, driven by exploratory introduce Daisy, system seamlessly integrates into relaxing results. Daisy...
Data cleaning has become an indispensable part of data analysis due to the increasing amount dirty data. scientists spend most their time preparing before it can be used for analysis. At same time, existing tools that attempt automate procedure typically focus on a specific use case and operation. Still, even such specialized exhibit long running times or fail process large datasets. Therefore, from user's perspective, one is forced different, potentially inefficient tool each category...
Greek cities hold important urban issues related to social injustice; lack of open spaces, pedestrian facilities, parks and greenery, access public amenities, etc. In view these, we investigated residents’ preferences choices regarding their walking activities in the environment Thessaloniki, Greece. specific, applied research with questionnaires residents municipality Ampelokipoi-Menemeni. The Contingent Valuation Method investigate willingness pay (WTP) for improvement existing...
Data cleaning is a time-consuming process that depends on the data analysis users perform. Existing solutions treat as separate offline takes place before begins. Applying assumes priori knowledge of inconsistencies and query workload, thereby requiring effort understanding unnecessary for analysis. We propose an approach performs probabilistic repair functional dependency violations on-demand, driven by exploratory introduce Daisy, system seamlessly integrates into relaxing results. Daisy...
The problem of checking the consistency spatial calculi that contain both unknown and known entities (constants, i.e., real geometries) has recently been studied. Until now, all approaches are theoretical no implementation proposed. In this paper we present first reasoner takes as input RCC-5 or RCC-8 networks with variables constants decides their consistency. We investigate performance experimentally using real-world show can achieve significantly better times by geometry simplification...
While mountain regions face territorial disparities when set against lowlands, the EU’s post-2020 Cohesion Policy seeks to reduce such between by focusing on those that are most vulnerable. Along with otherwise remote, mountainous areas mostly seen as in decline, and deprived of opportunities achieve sustainable development. They serious demographic issues connected closely migration outflows, while they characterised low-quality educational services a paucity employment compared...