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11,445
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Citations since 2017
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January 2011 - present
Publications
Publications (332)
Extensive research on mobile guides for museums has explored the potential of technology to offer some of the services that have been traditionally provided by human guides, including guiding visitors in the museum space, providing information about the exhibits, and using more advanced interpretative approaches such as digital storytelling and gam...
Knowledge Graphs (KGs) are collections of interconnected and annotated entities that have become powerful assets for data integration, search enhancement, and other industrial applications. Knowledge Graphs such as DBPEDIA may contain billion of triple relations and are intensively queried with millions of queries per day. A prominent approach to e...
Digital storytelling in cultural heritage has been recognized as an effective technique for communicating heritage interpretation to the public. This chapter reports on the iterative design, development, and evaluation of a mobile digital storytelling experience for the Athens University History Museum. The experience combines a visually rich, illu...
Storytelling has the potential to revolutionize the way we engage with cultural heritage and has been widely recognized as an important direction for attracting and satisfying the audience of museums and other cultural heritage sites. This approach has been investigated in various research projects, but its adoption outside research remains limited...
Imagery is a commonly used practice that is applied in areas such as sports, rehabilitation, therapy and dance. Especially in dance, students of all ages are encouraged by their teachers to use imagery to improve their performance or clearly understand the form and quality of a movement. Mental imagery aims to stimulate thinking with the body, most...
This paper explores the design of digitally mediated, gamified experiences in the environment of art exhibitions. We use the trajectories HCI framework for analysis and design, decomposing the overall experience in different levels. First, we develop a storytelling game that is meant to be experienced by ‘many’ visitors, leveraging a group gameplay...
Storytelling has the potential to revolutionize the way we engage with cultural heritage and has been widely recognized as an important direction for attracting and satisfying the audience of museums and other cultural heritage sites. This approach has been investigated in various research projects, but its adoption outside research remains limited...
Motion Capture and whole-body interaction technologies have been experimentally proven to contribute to the enhancement of dance learning and to the investigation of bodily knowledge, innovating at the same time the practice of dance. Designing and implementing a dance interactive learning system with the aim to achieve effective, enjoyable, and me...
Query containment is a fundamental operation used to expedite query processing in view materialisation and query caching techniques. Since query containment has been shown to be NP-complete for arbitrary conjunctive queries on RDF graphs, we introduce a simpler form of conjunctive queries that we name f-graph queries. We first show that containment...
In this paper, we present the results of a user study focusing on whether the visitors' cultural preferences and expectations relate to different personality traits as defined by the Big Five personality model. We describe the user study procedure and report the correlations discovered between some of the Big Five factors and the participant assess...
" Envisioning cultural institutions as "social places", where the visitors can "create, share, and connect to each other around the cultural heritage content" (as defined by Nina Simon), we explore how to design cultural group experiences that combine personal moments of reflection to social encounter. In previous work we proposed a storytelling ga...
Streaming analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios including the case of industrial IoT where several pieces of industrial equipment such as turbines in Siemens are integrated into an IoT. The OBDA approach has a great potential to f...
In this article we explore how to play storytelling games with collections of artworks. First we propose a generic storytelling game, titled “Find the artwork behind the story!”, and we present the results of a user study that investigates the game’s affordances in different environments and setups, ranging from large exhibitions at a cultural cent...
The growth of the biological nuclear magnetic resonance (NMR) field and the development of new experimental technology have mandated the revision and enlargement of the NMR-STAR ontology used to represent experiments, spectral and derived data, and supporting metadata. We present here a brief description of the NMR-STAR ontology and software tools...
Considering the virtual museum visit as a group activity, in this paper we explore how to support and facilitate social interactions between visitors in the 3D environment of an interactive virtual museum, while also accounting for isolated moments of personal engagement with the cultural content.
Moving towards this direction, we present the desig...
Dance resides among the most ancestral forms of art, representing a major asset of the human intangible cultural heritage playing, at the same time, a primary role in contemporary artistic creation. WhoLoDancE, a Research and Innovation Action funded under the European Union's Horizon 2020 research and innovation programme, aimed at the double goal...
Dance resides among the most ancestral forms of art, representing a major asset of the human intangible cultural heritage playing, at the same time, a primary role in contemporary artistic creation. WhoLoDancE, a Research and Innovation Action funded under the European Union's Horizon 2020 research and innovation programme, aimed at the double goal...
This work presents an Android application using Near Field Communication developed with the aim to inspire the visitors of the Athens University Museum of Mineralogy and Petrology to focus on the details of the exhibits. The MoMaP application uses a gamification approach prompting the visitors to collect points in a game in which they participate a...
Open Access and Open Scholarship have revolutionized the way scholarly artefacts are evaluated and published, while the introduction of new technologies and media in scientific workflows has changed the "how" and to "whom" science is communicated, and how stakeholders interact with the scientific community and the broader public. The EU funded proj...
Recent advances in technologies for capturing, analyzing and visualizing movement can revolutionize the way we create, practice, learn dance, and transmit bodily knowledge. The need for creating meaningful, searchable and re-usable libraries of motion capture and video movement segments can only be fulfilled through the collaboration of both techno...
In this paper we present the objectives and preliminary work of WhoLoDancE, a Research and Innovation Action
funded under the European Union’s Horizon 2020 programme, aiming at using new technologies for capturing
and analyzing dance movement to facilitate whole-body interaction learning experiences for a variety of dance genres. The WhoLoDancE obj...
Choreomorphy is inspired by the Greek words "choros" (dance) and "morphe" (shape). Visual metaphors, such as the notion of transformation, and visual imagery are widely used in various movement and dance practices, education, and artistic creation. Motion capture and comprehensive movement representation technologies, if appropriately employed can...
Citizens are shaping their food preferences and expressing their food experiences on a daily basis reflecting their way of living, culture and well-being . In this paper, we focus on food perceptions and experiences in the context of smart citizen and tourist sensing. We analyze Foursquare user reviews about food-related points of interest in ten E...
This study explores the effect of virtual reality on the sense of fear and presence in an immersive VR environment in comparison with a desktop screen. At the same time it attempts to answer whether users with specific psychological profiles measured with the Big 5 personality test are more susceptible to emotions of fear in digital environments th...
Open publications are increasing at such a rapid pace that it is almost impossible for researchers to keep up with them. Even in terms of computational complexity, the data are becoming bigger and bigger, so there is a great need to provide new and faster algorithms for mining scientific articles. One such important mining task is finding citation...
In this paper we present a generic storytelling game, leveraging collections of artworks. We present the results of a user study that contains a series of game-testing sessions, accompanied by semi-structured group interviews and individual questionnaires. The game-testing sessions took place in several different physical environments, ranging from...
Throughout our digital lives, we are getting recommendations for about almost everything we do, buy or consume. In that way, the field of recommender systems has been evolving vastly to match the increasing user needs accordingly. News, products, ideas and people are only a few of the things that we can be recommended with daily. However, even with...
In this paper, we propose an approach to describe the temporal aspects of ontological representation of dance movement. By nature, human movement consists of complex combinations of spatiotemporal events, a fact that creates a big challenge for representing, searching, and reasoning about movement-related content, such as movement annotations on vi...
We present a description and analysis of the data access challenge in Siemens Energy. We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge. We derive requirements for applying OBDA in Siemens, review existing OBDA systems and discuss their limitations with respect to the Siemens require...
Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data. The ontology is ‘connected’ to the data via mappings that allow to automatically translate queries posed over the ontolo...
In the database community Polystores is an emerging and promising approach for data federation that aims at designing a unified querying layer over multiple data models. In the Semantic Web community a similar in spirit approach of Ontology-Based Data Access (OBDA) has been recently proposed, attracted a lot of attention, and proved its success in...
In this paper, we describe an ongoing work towards developing a whole-body interaction interface for exploring different visualizations of movement, using real-time motion capture and 3D models, to apply in dance learning and improvisation within a creative, gamified context. A full inertial motion capture system is used by the performer while a si...
In this work, we propose MagicHOLO, a method to support engaging collaborative and collocated experiences through 3D projections using personal mobile devices in the physical space of a museum. The users of the MagicHOLO mobile app are prompted to coordinate in order to create a common communication network for their devices and to decide on the el...
Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great potential to facilitate such tasks; however, it has a number of limitations in dealing with analytics that restr...
Modern cities generate a flood of rich and varied data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens׳ quality of life by reducing transportation time, enhancing city planning, and improving air quality to name a few applications. From a data science perspe...
Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great potential to facilitate such tasks; however, it has a number of limitations in dealing with analytics that restr...
In this paper we present BalOnSe (named after the ballet step balance), an ontology-based web interface that allows the user to annotate classical ballet videos, with a hierarchical domain specific vocabulary and provides an archival system for videos of dance. The interface integrates a hierarchical vocabulary based on classical ballet syllabus te...
In this paper we present the objectives and preliminary work of WhoLoDancE a Research and Innovation Action funded under the European Union's Horizon 2020 programme, aiming at using new technologies for capturing and analyzing dance movement to facilitate whole-body interaction learning experiences for a variety of dance genres. Dance is a diverse...
Real-time processing of data coming from multiple heterogeneous data streams and static databases is a typical task in many industrial scenarios such as diagnostics of large machines. A complex diagnostic task may require a collection of up to hundreds of queries over such data. Although many of these queries retrieve data of the same kind, such as...
Data exploration encompasses a variety of interaction types and data functionality, such as search, data analysis, curation, constraint satisfaction, data mining, and visualization. Data exploration naturally begins when a user is given a set of data and ends when the user extracts all information and knowledge hidden in the data. Although a pletho...
Real-time processing of data coming from multiple heterogeneous data streams and static databases is a typical task in many industrial scenarios such as diagnostics of large machines. A complex diagnostic task may require a collection of up to hundreds of queries over such data. Although many of these queries retrieve data of the same kind, such as...
Background
The nuclear magnetic resonance (NMR) spectroscopic data for biological macromolecules archived at the BioMagResBank (BMRB) provide a rich resource of biophysical information at atomic resolution. The NMR data archived in NMR-STAR ASCII format have been implemented in a relational database. However, it is still fairly difficult for users...
The museum visit is a collaborative activity: people typically visit museums in social groups, and conversation between group members has been highlighted as a key aspect for an engaging visitor experience. In this work, we detail initial findings and experience results from the design and evaluation of a group-based digital storytelling journey, w...
Modern cities are flooded with data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens' quality of life. From a data science perspective, data emerging from smart cities give rise to a lot of challenges that constitute a new interdisciplinary field of research....
This paper reports on a small-scale experiment conducted in the Stedelijk Museum Amsterdam (SMA), showcasing the effective use of CHESS research prototype for the creation and provision of personalized interactive museum experiences and highlighting the main results reached.
Earth-Science data are composite, multi-dimensional and of significant size, and as such, continue to pose a number of ongoing problems regarding their management. With new and diverse information sources emerging as well as rates of generated data continuously increasing, a persistent challenge becomes more pressing: To make the information existi...
Authors of scientific publications and books use images to present a wide spectrum of information. Despite the richness of the visual content of scientific publications the figures are usually not taken into consideration in the context of text mining methodologies towards the automatic indexing and retrieval of scientific corpora. In this work, we...
Many modern applications require the evaluation of analytical queries on
large amounts of data. Such queries entail joins and heavy aggregations that
often include user-defined functions (UDFs). The most efficient way to process
these specific type of queries is using tree execution plans. In this work, we
develop an engine for analytical query pro...
Abstract
Every few years a group of database researchers meets to discuss the state of database research,
its impact on practice, and important new directions. This report summarizes the discussion and
conclusions of the eighth such meeting, held October 14-15, 2013 in Irvine, California. It observes that
Big Data has now become a de ning challenge...
The description of the human body and its movement is fundamental and a critical part of the content of a Dance Digital Library. It must be captured in an organized way, both for allowing user interaction (browse, search) and computational analysis (similarity comparison) of dances, as well as for exploring meaningful ways to present content to use...
CHESS is a research prototype system aimed at enriching museum visits through personalized interactive storytelling. Aspiring to replace traditional exhibit-centric descriptions by story-centric cohesive narrations with carefully-designed references to the exhibits, CHESS follows a plot-based approach, where the story authors create stories around...
The acquaintance of Museums and Cultural Heritage (CH) institutions with the digital age challenges is of no question a matter of survival. Nevertheless, the dialogue between CH and Information and Communication Technologies (ICT) do not always lead to a harmonious symbiosis. Moreover, the question of if and how ICT could add value to collections,...
In this work, we present the CHESS research prototype system which offers personalized, interactive digital storytelling experiences to enhance museum visits, demonstrating the authoring and visiting experiences.
Text visualization is a rather important task related to scientific corpora, since it provides a way of representing these corpora in terms of content, leading to reinforcement of human cognition compared to abstract and unstructured text. In this paper, we focus on visualizing funding-specific scientific corpora in a supervised context and discove...
A method for supervised classification and visualization of collections of scientific publications is presented. By integrating a text classification module, which leads to class probability estimation, along with a dimensionality reduction technique, which represents each class in the 2-D space, any collection of unlabelled documents can be visual...
We propose a comprehensive information processing, knowledge discovery and simulation platform for Big Data Healthcare. In addition, we present a related, well-defined workflow that promotes model-guided personalized medicine. We start by identifying disease signatures and homogeneous patient groups, whilst modeling case-based patient similarity. T...
In this paper, we discuss the key elements of a semantic dance-move representation model based on rule-based extractions of logical descriptions from existing Labanotation scores. This is part of a larger effort on representing and analyzing dance movement based on choreological approaches and notation systems. The main goal is to develop a Knowled...
Scheduling query execution plans is a particularly complex problem in
shared-nothing parallel systems, where each site consists of a collection of
local time-shared (e.g., CPU(s) or disk(s)) and space-shared (e.g., memory)
resources and communicates with remote sites by message-passing. Earlier work
on parallel query scheduling employs either (a) o...
This chapter proposes steps towards the solution to the data access problem that end-users typically face when dealing with Big Data.
This paper discusses issues related to digital storytelling and its use in Cultural Heritage institutions. It will demonstrate the usefulness and advantages of digital storytelling by providing concrete examples of adoption and suggest how digital storytelling may be used in different cultural heritage environments. We will identify issues and chal...
A general-purpose Global Research Data Infrastructure (GRDI) for all sciences and research purposes is not conceivable for the next decade as there are too many discipline-specific modalities that currently prevail for such generalisation efforts to be effective. On the other hand, a more pragmatic approach is to start from what currently exists, i...
Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and IT-experts, due to the volume, variety, and velocity dimensions of Big Data.This brings a hight cost overhead in data access for large enterprises. For instance, in the oil and gas industry, IT-experts spend 30-70% of their time gathering and assessing...
A supervised approach to visualization of collections of scientific documents is presented. We have implemented a text classification module, which leads to class probability estimations, along with a dimensionality reduction technique which represents each class in the 2-D space. Integrating those two procedures, any collection of unlabelled docum...
In this paper, we discuss the challenges that we have faced and the solutions we have identified so far in our currently on-going effort to design and develop a Dance Information System for archiving traditional dance, one of the most significant realms of intangible cultural heritage. Our approach is based on Description Logics and aims at represe...
AITION is a scalable, user-friendly, and interactive data mining (DM) platform, designed for analyzing large heterogeneous datasets. Implementing state-of-the-art machine learning algorithms, it successfully utilizes generative Probabilistic Graphical Models (PGMs) providing an integrated framework targeting feature selection, Knowledge Discovery (...
In 1981 the "1st LBL Workshop on Statistical Database Management" was held in Berkeley, CA. It was essentially the first step towards establishing the new at the time and very important branch of the data management field that deals with scientific data. A few years later, the third edition of the event already had another ‘S' added in its acronym...