Abstract
We present in this paper a novel solution for assisting users in formulating SPARQL queries. The high-level idea is that users write “semi-formal SPARQL queries”, namely, queries whose structure resembles SPARQL but are not necessarily grounded to the schema of the underlying Knowledge Base (KB) and require only basic familiarity with SPARQL. This means that the user-intended query over the KB may differ from the specified semi-formal query in its structure and query elements. We design a novel framework that systematically and gradually refines the query to obtain candidate formal queries that do match the KB. Crucially, we introduce a formal notion of provenance tracking this query refinement process, and use the tracked provenance to prompt the user for fine-grained feedback on parts of the candidate query, guiding our search. Experiments on a diverse query workload with respect to both DBpedia and YAGO show the usefulness of our approach.
Original language | English |
---|---|
Title of host publication | Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Proceedings |
Editors | Christine Strauss, Alfredo Cuzzocrea, Gabriele Kotsis, Ismail Khalil, A Min Tjoa |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 116-129 |
Number of pages | 14 |
ISBN (Print) | 9783031124228 |
DOIs | |
State | Published - 2022 |
Event | 33rd International Conference on Database and Expert Systems Applications, DEXA 2022 - Vienna, Austria Duration: 22 Aug 2022 → 24 Aug 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 13426 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 33rd International Conference on Database and Expert Systems Applications, DEXA 2022 |
---|---|
Country/Territory | Austria |
City | Vienna |
Period | 22/08/22 → 24/08/22 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Funding
Acknowledgements. This work was partly funded by the Israel Science Foundation (grant No. 2015/21) and by the Israel Ministry of Science and Technology.
Funders | Funder number |
---|---|
Israel Science Foundation | 2015/21 |
Ministry of science and technology, Israel |