Keyword search over schema-less RDF datasets by SPARQL query compilation

作者：

Highlights：

• An algorithm to automatically translate keyword-based queries to SPARQL queries is introduced.

• The algorithm does not rely on RDF schemas.

• The algorithm outperforms a baseline schema-based RDF keyword search tool.

• The algorithm outperforms two “virtual documents” RDF keyword search tools.

• A measure named Graph Relevance Ratio (GRR) is proposed.

摘要

•An algorithm to automatically translate keyword-based queries to SPARQL queries is introduced.•The algorithm does not rely on RDF schemas.•The algorithm outperforms a baseline schema-based RDF keyword search tool.•The algorithm outperforms two “virtual documents” RDF keyword search tools.•A measure named Graph Relevance Ratio (GRR) is proposed.

论文关键词：RDF keyword search,SPARQL,RDF,KMV-synopses

论文评审过程：Received 30 December 2019, Revised 26 May 2021, Accepted 28 May 2021, Available online 3 June 2021, Version of Record 10 June 2021.

论文官网地址：https://doi.org/10.1016/j.is.2021.101814