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- 21 creator antoine-pultier.
- 21 creator arnej-berre.
- 21 creator bill-roberts.
- 21 creator dina-sukhobok.
- 21 creator dumitru-roman.
- 21 creator nikolay-nikolov.
- 21 creator nivethika-mahasivam.
- 21 creator rick-moynihan.
- 21 creator xianglin-ye.
- 21 creator brian-elves%C3%A6ter.
- 21 type InProceedings.
- 21 label "Tabular Data Cleaning and Linked Data Generation with Grafterizer".
- 21 sameAs 21.
- 21 abstract "Over the past several years the amount of published open data has increased significantly. The majority of them are tabular data and transforming them to linked data requires powerful and flexible approaches for data cleaning, preparation and RDF-ization. This paper introduces Grafterizer --- a software framework developed to support data workers and data developers in the process of converting raw tabular data into linked data. Its main components include a powerful software library and DSL for data cleaning and RDF-ization, a front-end framework for interactive specification of data transformations and a back-end for management and execution of data transformations. The proposed demonstration will focus on Grafterizer's powerful features for data cleaning and RDF-ization in a scenario using data about the risk of failure of transport infrastructure components due to natural hazards.".
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- 21 title "Tabular Data Cleaning and Linked Data Generation with Grafterizer".
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- 22 creator harith-alani.
- 22 creator hassan-saif.
- 22 creator maxim-bashevoy.
- 22 creator miriam-fernandez.
- 22 creator steve-taylor.
- 22 type InProceedings.
- 22 label "SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis".
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- 22 abstract "Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics' feelings towards policies, brands, business, etc. In this paper we present SentiCircles, a platform that captures feedback from social media conversations and applies contextual and conceptual sentiment analysis models to extract and summarise sentiment from these conversations. It provides a novel sentiment navigation design where contextual sentiment is captured and presented at term/entity level, enabling a better alignment of positive and negative sentiment to the nature of the public debate. ".
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- 22 title "SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis".
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