scispace - formally typeset
K

Kalliopi Kontiza

Researcher at University College London

Publications -  9
Citations -  56

Kalliopi Kontiza is an academic researcher from University College London. The author has contributed to research in topics: Cultural heritage & Reflection (computer graphics). The author has an hindex of 4, co-authored 9 publications receiving 42 citations. Previous affiliations of Kalliopi Kontiza include National Gallery, London & National Gallery of Art.

Papers
More filters
Journal ArticleDOI

On how technology-powered storytelling can contribute to cultural heritage sustainability across multiple venues. Evidence from the CrossCult H2020 Project

TL;DR: In this article, the authors present a multi-level analysis of the sustainability in cultural heritage, using as an example a recent European H2020 project (CrossCult) and the lessons learnt from its design, implementation and evaluation.

A Museum App to Trigger Users' Reflection

TL;DR: A mobile museum guide that has been designed for the National Gallery in London with the special goal of triggering reflection of the visitor is introduced, which includes means to personalise a visit by modelling the user preferences and behaviour.
Proceedings Article

Cognitive-based visualization of semantically structured cultural heritage data

TL;DR: It is suggested that by taking into account human information processes, better cognitive support can be introduced via InfoVis tools for Linked Data, thus reducing the cognitive load experienced by users.
Journal ArticleDOI

Semantic Representation and Location Provenance of Cultural Heritage Information: the National Gallery Collection in London

TL;DR: In this article, the authors describe a working example of semantically modelling cultural heritage information and data from the National Gallery collection in London, and reveal the challenges of expressing interrelations and groupings among the physical items, the venue and the available digital resources.
Proceedings ArticleDOI

Web Search Results Visualization: Evaluation of Two Semantic Search Engines

TL;DR: In this paper, the authors evaluate two semantic search engines, Sigma and Kngine, and conclude that visualization used in search engines improves the understanding of search results and the overall search experience by exploiting the semantics of web data.