ISWC 2023

The Scholarly QALD Challenge

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The importance of how typical Web users can access the body of knowledge on the Web grows with the amount of structured data published thereon. Over the past years, there has been an increasing amount of research on interaction paradigms that allow end users to profit from the expressive power of Semantic Web standards while at the same time hiding their complexity behind an intuitive and easy-to-use interface. However, no natural language interface allows one to access scholarly data such as papers, authors, institutions, models, or datasets. The key challenge is to translate the users’ information needs into a form such that they can be evaluated using standard Semantic Web query processing and inference techniques. Such interfaces would allow users to express arbitrarily complex information needs in an intuitive fashion and, at least in principle, in their own words. The intent of this challenge is thus of great importance and interest to Semantic Web scholars. By taking part in the challenges sub-tasks, participants can explore and will experience a versatile range of academic and industrial approaches and applica- tions through the multi-faceted workshop format. We will try to bridge the gap between academia and industry to attract junior as well as senior researchers from both worlds leading to a memorable experience. We target to publish system descriptions as proceedings published by CEUR-WS as in past years Thus, in its first iteration at ISWC 2023, we have two independent tasks: Task 1: DBLP-QUAD — Knowledge Graph Question Answering over DBLP: For this task, participants will use the DBLP-QUAD dataset, which consists of 10,000 question-SPARQL pairs, and is answerable over the DBLP Knowledge Graph. The task is hosted on Task 2: SciQA — Question Answering of Scholarly Knowledge: This new task introduced this year will use a scholarly data source ORKG as a target repository for answering comparative questions. The task is hosted on