Engaging Citizens with a Social Platform for Open Data

Cordasco, Gennaro; Donato, Renato De; Malandrino, Delfina; Palmieri, Giuseppina; Petta, Andrea; Pirozzi, Donato; Santangelo, Gabriella; Scarano, Vittorio; Serra, Luigi; Spagnuolo, Carmine; Vicidomini, Luca

doi:10.1145/3085228.3085302

Cited by 21 publications

(13 citation statements)

References 11 publications

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“…The described process has been included into SPOD where citizens, PAs, associations, and every kind of stakeholder can create or join online communities of interests, discussing around OD and their visualizations [8,12]. SPOD supports Data-Driven Discussions where citizens are engaged in participating in discussions of interest by using OD.…”

Section: Our Orchestrated Open Data Co-creationmentioning

confidence: 99%

Orchestrated Co-creation of High-Quality Open Data Within Large Groups

Ferretti

Malandrino

Pellegrino

et al. 2019

Lecture Notes in Computer Science

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According to Open Government Data, governments should co-operate with citizens in order to co-create Open Data (OD). When large groups are involved, there is the need to orchestrate the work by clearly defining and distributing roles. Our Regional Administrationthe Council of the Campania Region in Italy -claimed a motivating use case which inspired the proposed roles involved in the OD production process. We consider validator, creator, and filler as roles. To each role tasks and responsibilities are attached. Roles and related activities are integrated into SPOD (a Social Platform for Open Data) to guide users in producing high-quality OD by proactive quality assurance techniques.

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Section: Our Orchestrated Open Data Co-creationmentioning

confidence: 99%

Orchestrated Co-creation of High-Quality Open Data Within Large Groups

Ferretti

Malandrino

Pellegrino

et al. 2019

Lecture Notes in Computer Science

Self Cite

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“…There are projects that may contain a vast number of entities which need to be linked, making them a bad candidate for manual linking. However, the effort expended is reduced by employing multiple users [21]. One of the requirements of the platform is to have the ability to host multiple users per project allowing these users to act simultaneously and interactively so as to develop linksets between ontologies quickly.…”

Section: Working On the Same Projectmentioning

confidence: 99%

Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service

et al. 2018

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Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail. Automated applications have been developed, implementing diverse aligning techniques and similarity measures, with outstanding performance. However, there are use cases where automated linking fails and there must be involvement of the human factor in order to create, or not create, a link. In this paper we present Alignment, a collaborative, system aided, interactive ontology matching platform. Alignment offers a user-friendly environment for matching two ontologies with the aid of configurable similarity algorithms.

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“…El papel del propio ciudadano como demandante de la información también debe destacarse como elemento relevante. Cordasco et al (2017) plantea el rol de los ciudadanos como colaboradores sociales que pueden incluso llegar a «cocrear» conocimiento y datos.…”

Section: Discusión Y Conclusionesunclassified