Published work by Kalliopi Kontiza
We present preliminary findings regarding the increasing use of Info-Vis tools and semantically s... more We present preliminary findings regarding the increasing use of Info-Vis tools and semantically structured data by cultural heritage institutions. This sector faces a number of challenges in developing best practices for publishing Linked Data, including the presentation of their digital cultural heritage collections and the visualization of their multidimensional hidden histories.We suggest that, as these institutions’ interest in Semantic Web technologies grows and associated applications are more widely adopted, the need to provide InfoVis tools for efficient overview and exploration of cultural data increases.We postulate that changes in the paradigms for interaction with cultural datasets are also needed, with more focus on users’ needs and cognitive processes.We suggest 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.
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Semantic search engines improve the accuracy of search results
by understanding the meaning and... more Semantic search engines improve the accuracy of search results
by understanding the meaning and context of terms as they appear
in web documents. But do they also improve the presentation of
search results? We discuss this research question and attempt to
address it by evaluating two semantic search engines: Sig.ma and
Kngine. Our analysis is based on the theory and methods of
explorative evaluation studies, the inspection evaluation approach
in information visualization, user-oriented evaluation studies, and
on quantitative data analysis. Our main conclusion is that
visualization used in semantic search engines improves the
understanding of search results and the overall search experience
by exploiting the semantics of web data.
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Papers by Kalliopi Kontiza
The Crosscult Knowledge Base (CCKB) is a comprehensive structure of semantic definitions and form... more The Crosscult Knowledge Base (CCKB) is a comprehensive structure of semantic definitions and formalisms, developed for facilitating interoperable connections between the cultural heritage datasets contributing to Crosscult. It is written in OWL2 (the standard ontology language for the Semantic Web) and enables augmentation, semantic linking, semantic-based reasoning and retrieval across disparate data resources
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When evaluating the effectiveness of gamified app experiences in cultural heritage venues in term... more When evaluating the effectiveness of gamified app experiences in cultural heritage venues in terms of informal learning outcomes, a core challenge is the complexity involved in assessing intangible measures such as visitors’ appraisal of artwork. A comprehensive summary of the literature for conducting museum visitor evaluations is needed in order to understand how to measure the impact of gamification on user engagement, and the enhancement of the cultural heritage experience on learning. This paper first reviews related literature regarding the application of intrusive versus non-intrusive user evaluation methods, focusing on the REMIND protocol for conducting experiments with museum visitors. We relay our findings when applying the REMIND protocol in four gamified cultural heritage applications in the CrossCult project. Focusing on the assessment of informal learning in an application specifically designed for the visitors of the National Gallery of London, the paper concludes wi...
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This paper introduces a mobile museum guide that has been designed for the National Gallery in Lo... more This paper introduces a mobile museum guide that has been designed for the National Gallery in London with the special goal of triggering reflection of the visitor. We also present the results obtained from a first experiment. The underlying postulate is that visitors are more prone to reflection and more interested by the collection in a museum if they can discover it through other facets than those highlighted solely in the museum, and if this discovery is personalised for each of them. The smart guide includes means to personalise a visit by modelling the user preferences and behaviour, and builds recommendations for stories or groups of paintings based on the user profile and reflective topics.
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Digital Cultural Heritage
The modern advances of digital technologies provide a wider access to information, enabling new w... more The modern advances of digital technologies provide a wider access to information, enabling new ways of interacting with and understanding cultural heritage information, facilitating its presentation, access and reinterpretation. The paper presents a working example of connecting and mapping cultural heritage information and data from cultural heritage institutions and venues through the open technological platform of the CrossCult project. The process of semantically representing and enriching the available cultural heritage data is discussed, and the challenges of semantically expressing interrelations and groupings among physical items, venues, digital resources, and ideas are revealed. The paper also highlights the challenges in the creation of a knowledge base resource which aggregates a set of Knowledge Organization Systems (KOS): a carefully selected subset of the CIDOC Conceptual Reference Model, a set of application ontologies and an optimised classification scheme based on domain vocabularies.
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2018 3rd Digital Heritage International Congress (DigitalHERITAGE) held jointly with 2018 24th International Conference on Virtual Systems & Multimedia (VSMM 2018), Oct 1, 2018
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Information Visualisation (InfoVis) is defined as the interactive visual representation of abstra... more Information Visualisation (InfoVis) is defined as the interactive visual representation of abstract data. We view the end-users’ interaction with InfoVis tools as a learning experience which is made up of a set of highly demanding cognitive activities. These activities assist the end-user in making sense and gaining knowledge of the represented domain. There is a consensus in the InfoVis community about the importance of user evaluation studies in measuring the effectiveness of InfoVis tools. However, usability studies, which are most commonly used in this domain, are not appropriate for capturing the end-user cognitive processes that occur during the learning experience. To address this issue this paper discusses work in progress in developing a cognitive based framework for evaluating the effectiveness of InfoVis tools on the user learning process, by employing metrics for measuring the peoples ability to remember, understand, analyse, and derive insights from the visualised data,...
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Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) - WIMS '14, 2014
ABSTRACT Semantic search engines improve the accuracy of search results by understanding the mean... more ABSTRACT Semantic search engines improve the accuracy of search results by understanding the meaning and context of terms as they appear in web documents. But do they also improve the presentation of search results? We discuss this research question and attempt to address it by evaluating two semantic search engines: Sig.ma and Kngine. Our analysis is based on the theory and methods of explorative evaluation studies, the inspection evaluation approach in information visualization, user-oriented evaluation studies, and on quantitative data analysis. Our main conclusion is that visualization used in semantic search engines improves the understanding of search results and the overall search experience by exploiting the semantics of web data.
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Digital Humanities and Cultural Heritage by Kalliopi Kontiza
Symmetry, 2019
Recent advances in semantic web and deep learning technologies enable new means for the computati... more Recent advances in semantic web and deep learning technologies enable new means for the computational analysis of vast amounts of information from the field of digital humanities. We discuss how some of the techniques can be used to identify historical and cultural symmetries between different characters, locations, events or venues, and how these can be harnessed to develop new strategies to promote intercultural and cross-border aspects that support the teaching and learning of history and heritage. The strategies have been put to the test in the context of the European project CrossCult, revealing enormous potential to encourage curiosity to discover new information and increase retention of learned information.
By Martín López-Nores, Omar Gustavo Bravo-Quezada, Maddalena Bassani, Angeliki Antoniou, Ioanna Lykourentzou, Catherine Emma Jones, Kalliopi Kontiza, Silvia González-Soutelo, Susana Reboreda-Morillo, Yannick Naudet, Andreas Vlachidis, Antonis Bikakis and José Juan Pazos-Arias
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Published work by Kalliopi Kontiza
by understanding the meaning and context of terms as they appear
in web documents. But do they also improve the presentation of
search results? We discuss this research question and attempt to
address it by evaluating two semantic search engines: Sig.ma and
Kngine. Our analysis is based on the theory and methods of
explorative evaluation studies, the inspection evaluation approach
in information visualization, user-oriented evaluation studies, and
on quantitative data analysis. Our main conclusion is that
visualization used in semantic search engines improves the
understanding of search results and the overall search experience
by exploiting the semantics of web data.
Papers by Kalliopi Kontiza
Digital Humanities and Cultural Heritage by Kalliopi Kontiza
By Martín López-Nores, Omar Gustavo Bravo-Quezada, Maddalena Bassani, Angeliki Antoniou, Ioanna Lykourentzou, Catherine Emma Jones, Kalliopi Kontiza, Silvia González-Soutelo, Susana Reboreda-Morillo, Yannick Naudet, Andreas Vlachidis, Antonis Bikakis and José Juan Pazos-Arias
by understanding the meaning and context of terms as they appear
in web documents. But do they also improve the presentation of
search results? We discuss this research question and attempt to
address it by evaluating two semantic search engines: Sig.ma and
Kngine. Our analysis is based on the theory and methods of
explorative evaluation studies, the inspection evaluation approach
in information visualization, user-oriented evaluation studies, and
on quantitative data analysis. Our main conclusion is that
visualization used in semantic search engines improves the
understanding of search results and the overall search experience
by exploiting the semantics of web data.
By Martín López-Nores, Omar Gustavo Bravo-Quezada, Maddalena Bassani, Angeliki Antoniou, Ioanna Lykourentzou, Catherine Emma Jones, Kalliopi Kontiza, Silvia González-Soutelo, Susana Reboreda-Morillo, Yannick Naudet, Andreas Vlachidis, Antonis Bikakis and José Juan Pazos-Arias