This year’s NLIWoD 7 workshop and QALD 10 challenge with a common focus on linked data, were held together. NLIWoD is a series of workshops that emphasizes the advancement of Natural Language (NL) Interfaces to the Web of Data. It always takes place together with influential semantic web conferences, such as ISWC and ESWC. Recent advancements and the application of technology in question answering systems are the main topics covered. At the same time, QALD is a series of challenges that promote question answering systems over linked data. Each edition of the QALD challenge publishes new dataset(s), with particular attention to issues in question answering, such as domain adaption, multilingualism, hybrid approach, etc.
Next to that, this year’s challenge, QALD 10, posts a question to the semantic web community, on how to develop a multilingual question answering system over large-scale linked data and allows participants to get tested on a standardized benchmark platform. This joint workshop aims to not only push forward the theoretical research in the retrieval of information from linked data but also to connect the advancement with industrial practitioners.
In 2022, this workshop comprised one keynote by Prof. Dr. Paul Groth, 3 full papers, and 3 short papers. The best paper award went to Manuel Alejandro Borroto Santana, Bernardo Cuteri, Francesco Ricca, and Vito Barbara for their paper ”SPARQL-QA enters the QALD challenge SPARQL-QA enters the QALD challenge”. Furthermore, we included and presented the results and systems from the QALD-10 challenge in this workshop proceedings to document the progress in the field of question answering on Linked Data. We will publish a description of the actual QALD-10 data later as a resource article.
This year’s keynote was given by Prof. Dr. Paul Groth. Prof. Dr. Paul Groth received his Ph. D. in Computer Science from the University of Southampton in 2007. From 2007 to 2009 he was a member of the Intelligent Systems Division, Information Sciences Institute at the University of Southern California. Paul Groth then joined Knowledge Representation and Reasoning Group as a postdoctoral researcher and then an assistant professor. He remained there until 2015 when he joined Elsevier Labs as a disruptive technology director. Now he serves as a full professor at the University of Amsterdam since 2018, where he leads the Intelligent Data Engineering Lab. Paul’s research interests center on intelligent systems for the integration and use of diverse information with a particular emphasis on data provenance.
This workshop takes place on Sunday May 29, 2022 from 9:00 to 12:30.
en ensemble 3
Time 09:00 09:10 09:35 11:10 11:45 11:55 12:05 12:15 Program Committee