eXascale Infolab, University of Fribourg, Switzerland

We design, build and deploy next-generation infrastructures for Big Data, with a focus on social, scientific, and linked data.

Latest News

February 2019 – Neurons, Clusters & Accelerated Queries

Playing Atari with Six Neurons accepted at AAMAS 2019. Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets presented at BigComp 2019, and The Case For Network-Accelerated Query Processing presented at CIDR 2019.

January 2019 – 3 research papers accepted at WWW2019

3 papers accepted at the Web Conf (WWW2019)! ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs, Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach, and Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data, all accepted as full research papers [acceptance: 18%]. PDFs coming soon. See you in San Francisco!


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Selected Projects

ScienceWISE: a semantic platform for paper discovery and collaboration

eXascale Infolab ScienceWISE.info offers article annotation and scientific bookmarking based on a field specific concept ontology.
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dipLODocus[RDF]

eXascale Infolab dipLODocus is a system for RDF data processing supporting both simple transactional queries and complex analytics efficiently.
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Entities at XI

eXascale Infolab Project to exploit entities in order to better retrieve, understand, and summarise information represented by texts and other media.
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GraphInt

eXascale Infolab Project on extracting and integrating data from unstructured content using probabilistic and knowledge graphs
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Human Computation @ XI

eXascale Infolab We investigate human-powered systems, tools and interfaces that tackle (at scale) data management problems when machines fail short.
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Linked Data supported Learning

eXascale Infolab The Bowlogna ontology aims at providing a standard schema for European universities involved in the Bologna Reform of higher-education studies.
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mem0r1es

eXascale Infolab We study how to design information systems taking into account the idiosyncrasies of human memories.
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OTLPBench

eXascale Infolab The OLTP-Bench is an extensible testbed for benchmarking relational database systems, with batteries included! (15 popular benchmarks).
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Smarter Cities

eXascale Infolab We design data management architectures to support Smart(er) Cities infrastructures. E.g.: Water Distribution Networks.
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TripleProv

TripleProv is a new system extending a native RDF store to efficiently handle provenance inside data stores.
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A Comparison of Data Structures and Hash Functions to Manage URIs on the Web of Data

URIs are also exceedingly important on the Web of data, since RDF graphs and Linked Data both heavily rely on URIs to uniquely identify and connect online entities.
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