Nomination for Best Paper Award at WWW 2022
- Prof. Dr. Maribel Acosta
- /
- May 17, 2022
The paper titled Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments by Lars Heling (Bosch) and Maribel Acosta (RUB) was selected as Best Paper candidate at The ACM Web Conference (WWW) 2022.
The paper addresses the problem of querying federated (several) Knowledge Graphs on the web using different access interfaces. In particular, the paper makes the following novel contributions:
- formalization of interface-compliant query decompositions and their evaluation at a given interface,
- definition inteface-aware query planning to devise plans that exploit the expressivitiy of the sources, and
- a novel type of physical operators called polymorphic operators that implement different execution strategies according to the expressivity of the contacted interfaces.
The paper is available at the ACM portal and on arxiv.org.
The ACM Web Conference is the premier conference on research about the web. It was hosted by Lyon, France, but took place online from April 25th to April 29th, 2022. There were over 1200 attendees. From 323 accepted papers, only the top 11 papers of the conference were candidates to the Best Paper award (see below).
We congratulate all the authors of the short-listed papers!
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
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