41 citations · 55 across the 14 of their papers we have counts for
11 papers · 1 filter
Human-Data Interaction, Exploration, and Visualization in the AI Era: Challenges and Opportunities
Jean-Daniel Fekete, Yifan Hu, Dominik Moritz +8
The rapid advancement of AI is transforming human-centered systems, with profound implications for human-AI interaction, human-data interaction, and visual analytics. In the AI era…
Adaptive Indexing for Approximate Query Processing in Exploratory Data Analysis
Stavros Maroulis, Nikos Bikakis, Vassilis Stamatopoulos +1
Minimizing data-to-analysis time while enabling real-time interaction and efficient analytical computations on large datasets are fundamental objectives of contemporary exploratory…
Visual Analytics Challenges and Trends in the Age of AI: The BigVis Community Perspective
Nikos Bikakis, Panos K. Chrysanthis, Guoliang Li +2
This report provides insights into the challenges, emerging topics, and opportunities related to human-data interaction and visual analytics in the AI era. The BigVis 2024 organizi…
Partial Adaptive Indexing for Approximate Query Answering
Stavros Maroulis, Nikos Bikakis, Vassilis Stamatopoulos +1
In data exploration, users need to analyze large data files quickly, aiming to minimize data-to-analysis time. While recent adaptive indexing approaches address this need, they are…
QueryER: A Framework for Fast Analysis-Aware Deduplication over Dirty Data
Giorgos Alexiou, George Papastefanatos, Vassilis Stamatopoulos +2
In this work, we explore the problem of correctly and efficiently answering complex SPJ queries issued directly on top of dirty data. We introduce QueryER, a framework that seamles…
Hierarchical Characteristic Set Merging for Optimizing SPARQL Queries in Heterogeneous RDF
Marios Meimaris, George Papastefanatos
Characteristic sets (CS) organize RDF triples based on the set of properties characterizing their subject nodes. This concept is recently used in indexing techniques, as it can cap…
A Framework for Managing Evolving Information Resources on the Data Web
Marios Meimaris, George Papastefanatos, Christos Pateritsas +2
The web of data has brought forth the need to preserve and sustain evolving information within linked datasets; however, a basic requirement of data preservation is the maintenance…
A Query Language for Multi-version Data Web Archives
Marios Meimaris, George Papastefanatos, Stratis Viglas +3
The Data Web refers to the vast and rapidly increasing quantity of scientific, corporate, government and crowd-sourced data published in the form of Linked Open Data, which encoura…
rdf:SynopsViz - A Framework for Hierarchical Linked Data Visual Exploration and Analysis
Nikos Bikakis, Melina Skourla, George Papastefanatos
The purpose of data visualization is to offer intuitive ways for information perception and manipulation, especially for non-expert users. The Web of Data has realized the availabi…
Publishing Life Science Data as Linked Open Data: the Case Study of miRBase
Theodore Dalamagas, Nikos Bikakis, George Papastefanatos +2
This paper presents our Linked Open Data (LOD) infrastructures for genomic and experimental data related to microRNA biomolecules. Legacy data from two well-known microRNA database…
Diachronic Linked Data: Towards Long-Term Preservation of Structured Interrelated Information
Yannis Stavrakas, George Papastefanatos, Theodore Dalamagas +1
The Linked Data Paradigm is one of the most promising technologies for publishing, sharing, and connecting data on the Web, and offers a new way for data integration and interopera…