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| Title | Templet: A Collaborative System for Knowledge Graph Question Answering over Wikidata |
| Authors | Francisca Suárez, Aidan Hogan |
| Publication date | 2023 |
| Abstract | We present Templet: an online question answering (QA) system for Wikidata. Templet is based on the collaboratively-edited repository QAWiki, which collects questions in multiple natural languages along with their corresponding structured queries. Templet generates templates from question-query pairs on QAWiki by replacing key entities with identifiers. Using autocompletion, the user can type a question in natural language, select a template, and again using autocompletion, select the entities they wish to insert into the template's placeholders, generating a concrete question, query and results. The main objectives of Templet are: (i) to enable users to answer potentially complex questions over Wikidata using natural language templates and autocompletion; (ii) to encourage users to collaboratively create new templates via QAWiki, which in turn can benefit not only Templet, but other QA systems. |
| Pages | 152-155 |
| Conference name | International World Wide Web Conference |
| Publisher | ACM Press (New York, NY, USA) |
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