A Blocking Scheme for Entity Resolution in the Semantic Web

Costa, Gustavo de Assis; Oliveira, José M. Parente de

doi:10.1109/aina.2016.23

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Cited by 6 publications

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“…For example, if we integrate in our Domain Knowledge Base a dataset of monuments of another Spanish region, we hope to obtain several thousands of new tasks, located in this other region, by applying the same templates. For this integration of new datasets we should explore automated entity resolution methods, possibly a combination of label comparisons and blocking methods such as [4]. This way, we will avoid the potential scalability problem of our current solution, which includes a manual identity resolution step.…”

Section: Discussionmentioning

confidence: 99%

Supporting contextualized learning with linked open data

Ruiz‐Calleja

Vega-Gorgojo

Bote‐Lorenzo

et al. 2021

Journal of Web Semantics

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The proposed approach generates contextualized learning tasks out of the Linked Open Data.• This approach is applied to the domain of History of Art in the Spanish region of Castile and Leon and it semiautomatically created 16K tasks using three LOD sources.• The assessment of the tasks with 8 teachers showed that 85% of the tasks generated were aligned with the content taught in the classroom and were found to be relevant to learn in other non-formal spaces.

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Section: Discussionmentioning

confidence: 99%