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Publications

Publications by HumanISE

2021

A Survey on User Interaction with Linked Data

Authors
Aguiar, M; Nunes, S; Giesteirad, B;

Publication
Proceedings of the Sixth International Workshop on the Visualization and Interaction for Ontologies and Linked Data co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, 2021.

Abstract
Since the beginning of the Semantic Web and the coining of the term Linked Data in 2006, more than one thousand datasets with over sixteen thousand links have been published to the Linked Open Data Cloud. This rising interest is fuelled by the benefits that semantically annotated and machine-readable information can have in many systems. Alongside this growth we also observe a rise in humans creating and consuming Linked Data, and the opportunity to study and develop guidelines for tackling the new user interaction problems that arise with it. To gather information on the current solutions for modelling user interaction for these applications, we conducted a study surveying the interaction techniques provided in the state of the art of Linked Data tools and applications developed for users with no experience with Semantic Web technologies. The 18 tools reviewed are described and compared according to the interaction features provided, techniques used for visualising one instance and a set of instances, search solutions implemented, and the evaluation methods used to evaluate the proposed interaction solutions. From this review, we can conclude that researchers have started to deviate from more traditional visualisation techniques, like graph visualisations, when developing for lay users. This shows a current effort in developing Semantic Web tools to be used by lay users and motivates the documentation and formalisation of the solutions encountered in the studied tools. Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

2021

Analyzing Preconditions to Introduce Internet Voting in Portugal: Insights from the Estonian Model

Authors
Freire, M; Nunes, S; Cid, DD;

Publication
Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart 2021, University of Granada, Spain (Hybrid) 7 - 9 September 2021

Abstract
Internet voting has been trialed or introduced for several countries, including Norway, Portugal, United States, United Kingdom and Switzerland as an additional voting channel to increase voter turnout and, also to modernize the electoral process. However, only Estonia has successful introduced internet voting, deploying e-enabled elections in general governmental levels. This paper aims to provide an exploratory study on the Estonian internet voting model to identify pre-conditions for internet voting introduction in Portugal, addressing legal, technical and technological considerations. For doing so, it includes a cross-country comparative analysis in two perspectives. Firstly, an analysis in the Estonian electoral framework, highlighting the most important legal adaptations that make possible internet voting introduction to identify potential transformation for the Portuguese context. Secondly, to provide a technological overview towards the Portuguese e-government ecosystem to seek similar conditions that can make internet voting possible in Estonia. Copyright ©2021 for this paper by its authors.

2021

Toxicity-Associated News Classification: The Impact of Metadata and Content Features

Authors
Fortuna, P; Cruz, LB; Maia, R; Cortez, V; Nunes, S;

Publication
Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, ICWSM 2021 Workshops, [virtual], June 7, 2021

Abstract

2021

Hypergraph-of-Entity: A General Model for Entity-Oriented Search

Authors
Devezas, JL; Nunes, S;

Publication
CoRR

Abstract

2021

Fatigued PageRank

Authors
Devezas, JL; Nunes, S;

Publication
CoRR

Abstract

2021

Fatigued Random Walks in Hypergraphs: A Neuronal Analogy to Improve Retrieval Performance

Authors
Devezas, JL; Nunes, S;

Publication
CoRR

Abstract

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