Biography

Hola! I’m Sebastián, an Assistant Professor at the Data & Artificial Intelligence Initiative of Universidad de Chile, where I’m researching Knowledge Graphs: how to extract, manage and utilize them for better querying, browsing, and AI applications. I am also a Collaborating Researcher at the Institute for Foundational Research on Data Previously, I worked at the Department of Computer Science at Universidad de Chile and earlier at Linköping University, Sweden. I obtained my PhD from Universidad de Chile in 2021 with my thesis: Similarity-based Web Queries, proposing a self-similarity join algorithm and novel similarity join and clustering operators for SPARQL. I’m part of the Editorial Board of the Open Access Journal Transactions on Graph Data and Knowledge.

Interests
  • Multimedia Databases
  • Graph Databases and Knowledge Bases
  • (Federated) Data Management
Education
  • PhD in Computer Science, 2021

    Universidad de Chile

  • MSc in Computer Science, 2017

    Universidad de Chile

  • BEng in Computer Science, 2017

    Universidad de Chile

Recent Publications

(2024). Extracting Graphs from Tables via Conceptual Models. In International Semantic Web Conference (Poster and Demo Track).

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(2024). Application of Graph Neural Networks for Representing and Analyzing Internet Topology via the BGP Protocol. In ACM Internet Measurement Conference (Poster Track).

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(2024). ERDoc: A Web Interface for Entity-Relation Modelling. In (DataEd'24).

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(2024). TelarKG: a Knowledge Graph of Chile’s Constitutional Process. In (GRADES-NDA'24).

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(2024). Similarity joins and clustering for SPARQL. Semantic Web Journal.

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(2024). MillenniumDB: A Multi-modal, Multi-model Graph Database. In SIGMOD 2024 (Demo Track).

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(2023). Considering Vocabulary Mappings in Query Plans for Federations of RDF Data Sources. In (CoopIS'23).

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(2022). Converting Property Graphs to RDF: A Preliminary Study of the Practical Impact of Different Mappings. In (GRADES-NDA'22).

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(2020). Extending SPARQL with Similarity Joins. In ISWC 2020.

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(2020). An efficient algorithm for approximated self-similarity joins in metric spaces. Information Systems.

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Recent & Upcoming Talks

TelarKG: a Knowledge Graph of Chile's Constitutional Process
An Algebra for Evaluating Path Queries
Mirando el Mundo Real a través de los Grafos
Una Introducción a los Grafos de Conocimiento

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