most citedExploring and Analyzing Machine Commonsense Benchmarks

15 citations · 32 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2020★ 15 cited

Exploring and Analyzing Machine Commonsense Benchmarks

Henrique Santos, Minor Gordon, Zhicheng Liang +2

Commonsense question-answering (QA) tasks, in the form of benchmarks, are constantly being introduced for challenging and comparing commonsense QA systems. The benchmarks provide q…

cs.AI2020★ 3 cited

A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation

H. Santos, A. Mulvehill, J. S. Erickson +11

Because radio spectrum is a finite resource, its usage and sharing is regulated by government agencies. These agencies define policies to manage spectrum allocation and assignment…

cs.AI2017

From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards

Henrique Santos, Victor Dantas, Vasco Furtado +2

In the context of Smart Cities, indicator definitions have been used to calculate values that enable the comparison among different cities. The calculation of an indicator values h…

cs.AI2017★ 4 cited

A Service-Oriented Architecture for Assisting the Authoring of Semantic Crowd Maps

Henrique Santos, Vasco Furtado

Although there are increasingly more initiatives for the generation of semantic knowledge based on user participation, there is still a shortage of platforms for regular users to c…

cs.AI2017★ 10 cited

Human-Aware Sensor Network Ontology: Semantic Support for Empirical Data Collection

Paulo Pinheiro, Deborah L. McGuinness, Henrique Santos

Significant efforts have been made to understand and document knowledge related to scientific measurements. Many of those efforts resulted in one or more high-quality ontologies th…

cs.AI2017

Contextual Data Collection for Smart Cities

Henrique Santos, Vasco Furtado, Paulo Pinheiro +1

As part of Smart Cities initiatives, national, regional and local governments all over the globe are under the mandate of being more open regarding how they share their data. Under…