Matteo Mcguinness is a Dublin-based computer scientist and software engineer with nine years of experience building user-focused products. Trained in Computer Science at Trinity College Dublin, he combines solid engineering foundations with a passion for crafting delightful user experiences. Comfortable across the stack, he prioritizes shipping practical, reliable features that resonate with end users. His career reflects a steady commitment to product-driven development rather than flashy technical pursuits. Colleagues would describe him as pragmatic, user-centered, and consistently focused on outcomes that matter.
These last years have witnessed the rise of knowledge graph technologies. Practically, semi-structured datasets (often available online through APIs and endpoints) allow data practitioners to build up complex use-cases interconnecting multiple data sources. However, technologies are often operating as black boxes and the need for explainability is increasing, in particular to keep track of the intermediate steps of the data pipelines. In this project, we would like the group to explore the possibility of verbalizing (creating a narrative) from knowledge graph excerpts. Technically, a browser interface able to query an open knowledge graph and render a text using for instance SimpleNLG <https://github.com/simplenlg/simplenlg> is envisioned.
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Contributions:9 pushes, 1 branch in 2 years 3 months
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