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Each year the International Semantic Web Conference organizes a set ofSemantic Web Challenges to establish competitions that will advancestate-of-the-art solutions in some problem domains. The Semantic Answer Typeand Relation Prediction Task (SMART) task is one of the ISWC 2021 Semantic Webchallenges. This is the second year of the challenge after a successful SMART2020 at ISWC 2020. This year's version focuses on two sub-tasks that are veryimportant to Knowledge Base Question Answering (KBQA): Answer Type Predictionand Relation Prediction. Question type and answer type prediction can play akey role in knowledge base question answering systems providing insights aboutthe expected answer that are helpful to generate correct queries or rank theanswer candidates. More concretely, given a question in natural language, thefirst task is, to predict the answer type using a target ontology (e.g.,DBpedia or Wikidata. Similarly, the second task is to identify relations in thenatural language query and link them to the relations in a target ontology.This paper discusses the task descriptions, benchmark datasets, and evaluationmetrics. For more information, please visit https://smart-task.github.io/2021/.

Semantic Answer Type and Relation Prediction Task (SMART 2021)