Talk by Ruben Verborgh: “The Decentralized Web and its challenges for querying”

Published

Date/Time
Date(s) - 20/11/2019
10:00 am - 11:00 am

Categories


Title: The Decentralized Web and its challenges for querying
Location: 0.2.13, Cassiopeia Seminar Room, Dept. of Computer Science, Aalborg University

Abstract: By now, we are well prepared for a world of Big Data. But what if the future consists of a large number of small datasets? In this talk, I will introduce you to the Solid ecosystem, where every person has their own data vault, based on Linked Data technologies. I will explain the kind of problems this brings, and how queries can bring a solution. However, we will need new fundamental research to make all of this work at Web scale.

Bio: Ruben Verborgh is a professor of Decentralized Web technology at IDLab, Ghent University – imec, and a research affiliate at the Decentralized Information Group of CSAIL at MIT. Additionally, he acts as a technology advocate for Inrupt and the Solid ecosystem wherein people and organizations control their own data. He aims to build a more intelligent generation of clients for a decentralized Web at the intersection of Linked Data and hypermedia-driven Web APIs. Through the creation of Linked Data Fragments, he introduced a new paradigm for query processing at Web scale.

You may also like

Why-query support in graph databases
Published

Why-query support in graph databases

Speaker: Elena Vasilyeva from TU Dresden Germany

Graph database systems based on the property graph model are used in multiple domains including: social networks, biology, logistics, and data integration. They provide schema-flexible storage for data of a different degree of a structure and support complex, expressive queries like shortest path calculation or subgraph isomorphism queries. Similar to a relational database, the result of a query in a graph database can be unexpected, because no answer, too few, or too many results can be returned. The flexibility and expressiveness of a graph database increase the likelihood of these situations and at the same time make it even harder for the user to resolve such issues manually […]

Seminar: Data-Intensive Scientific Discovery
Published

Seminar: Data-Intensive Scientific Discovery

On June 22, DAISY is hosting an event entitled “Data Science and the Fourth Paradigm: Data-Intensive Scientific Discovery”.
The event will feature three exciting talks that explain the basics of data science and how it enables a new paradigm of data-intensive scientific discovery, coined “the Fourth Paradigm” by the late Jim Gray, winner of the Turing Award – the “Nobel” prize of computer science.

Everyone with an interest in data science, especially domain scientists using data intensively, is invited to participate in this event. A limited number of seats are available to students. […]