Matches in SemOpenAlex for { <https://semopenalex.org/work/W4318185495> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4318185495 abstract "Querying large-scale knowledge graphs (KGs) can be difficult for users in real-life scenarios, in which formal graph query languages potentially present usability barriers. Query-By-Example (QBE) approaches, which allow users to specify their query intent with examples, have become an emerging trend to address this issue. However, existing QBE approaches either require user-specified examples to provide values of all the KG attributes, or may return incorrect formalizations of user query intent due to the lack of user interaction. In this paper we propose an approach called Knowledge Graph Intuitive Querier (KGIQ) that addresses both challenges on large-scale KGs by using novel scalable algorithms. Unlike existing approaches, KGIQ ensures correct translation of user-specified examples into formal executable graph queries by interacting with users in a lightweight manner. Our experimental results suggest that KGIQ can correctly formalize graph queries on large-scale KGs with the help of uncomplicated user interactions and a feedback loop to improve user experience, while consistently outperforming the state of the art in terms of efficiency and outcome quality." @default.
- W4318185495 created "2023-01-27" @default.
- W4318185495 creator A5053328650 @default.
- W4318185495 creator A5078910758 @default.
- W4318185495 date "2022-12-17" @default.
- W4318185495 modified "2023-10-16" @default.
- W4318185495 title "KGIQ: Scalable Translation of User-Specified Examples into Knowledge-Graph Queries" @default.
- W4318185495 cites W102708294 @default.
- W4318185495 cites W1911540707 @default.
- W4318185495 cites W2007324466 @default.
- W4318185495 cites W2057513751 @default.
- W4318185495 cites W2094728533 @default.
- W4318185495 cites W2131702534 @default.
- W4318185495 cites W2338508724 @default.
- W4318185495 cites W2421102821 @default.
- W4318185495 cites W2501364796 @default.
- W4318185495 cites W2520469311 @default.
- W4318185495 cites W2548125635 @default.
- W4318185495 cites W2586196782 @default.
- W4318185495 cites W2612269136 @default.
- W4318185495 cites W2740452428 @default.
- W4318185495 cites W2795075876 @default.
- W4318185495 cites W2799059383 @default.
- W4318185495 cites W2966332071 @default.
- W4318185495 cites W3010336026 @default.
- W4318185495 cites W4298132949 @default.
- W4318185495 cites W4301500808 @default.
- W4318185495 doi "https://doi.org/10.1109/bigdata55660.2022.10021081" @default.
- W4318185495 hasPublicationYear "2022" @default.
- W4318185495 type Work @default.
- W4318185495 citedByCount "0" @default.
- W4318185495 crossrefType "proceedings-article" @default.
- W4318185495 hasAuthorship W4318185495A5053328650 @default.
- W4318185495 hasAuthorship W4318185495A5078910758 @default.
- W4318185495 hasConcept C107457646 @default.
- W4318185495 hasConcept C132525143 @default.
- W4318185495 hasConcept C160145156 @default.
- W4318185495 hasConcept C170130773 @default.
- W4318185495 hasConcept C192028432 @default.
- W4318185495 hasConcept C199360897 @default.
- W4318185495 hasConcept C23123220 @default.
- W4318185495 hasConcept C2987255567 @default.
- W4318185495 hasConcept C41008148 @default.
- W4318185495 hasConcept C48044578 @default.
- W4318185495 hasConcept C77088390 @default.
- W4318185495 hasConcept C80444323 @default.
- W4318185495 hasConceptScore W4318185495C107457646 @default.
- W4318185495 hasConceptScore W4318185495C132525143 @default.
- W4318185495 hasConceptScore W4318185495C160145156 @default.
- W4318185495 hasConceptScore W4318185495C170130773 @default.
- W4318185495 hasConceptScore W4318185495C192028432 @default.
- W4318185495 hasConceptScore W4318185495C199360897 @default.
- W4318185495 hasConceptScore W4318185495C23123220 @default.
- W4318185495 hasConceptScore W4318185495C2987255567 @default.
- W4318185495 hasConceptScore W4318185495C41008148 @default.
- W4318185495 hasConceptScore W4318185495C48044578 @default.
- W4318185495 hasConceptScore W4318185495C77088390 @default.
- W4318185495 hasConceptScore W4318185495C80444323 @default.
- W4318185495 hasLocation W43181854951 @default.
- W4318185495 hasOpenAccess W4318185495 @default.
- W4318185495 hasPrimaryLocation W43181854951 @default.
- W4318185495 hasRelatedWork W1524308472 @default.
- W4318185495 hasRelatedWork W1536405386 @default.
- W4318185495 hasRelatedWork W1541541441 @default.
- W4318185495 hasRelatedWork W2014415869 @default.
- W4318185495 hasRelatedWork W2091192301 @default.
- W4318185495 hasRelatedWork W2161902337 @default.
- W4318185495 hasRelatedWork W2350026801 @default.
- W4318185495 hasRelatedWork W2363027842 @default.
- W4318185495 hasRelatedWork W4224984663 @default.
- W4318185495 hasRelatedWork W2098306546 @default.
- W4318185495 isParatext "false" @default.
- W4318185495 isRetracted "false" @default.
- W4318185495 workType "article" @default.