QLever: Aery Engine for Eicient SPARQL+Text Search
نویسندگان
چکیده
We present QLever, a query engine for ecient combined search on a knowledge base and a text corpus, in which named entities from the knowledge base have been identied (that is, recognized and disambiguated). e query language is SPARQL extended by two QLever-specic predicates ql:contains-entity and ql:contains-word, which can express the occurrence of an entity or word (the object of the predicate) in a text record (the subject of the predicate). We evaluate QLever on two large datasets, including FACC (the ClueWeb12 corpus linked to Freebase). We compare against three state-of-theart query engines for knowledge bases with varying support for text search: RDF-3X, Virtuoso, Broccoli. ery times are competitive and oen faster on the pure SPARQL queries, and several orders of magnitude faster on the SPARQL+Text queries. Index size is larger for pure SPARQL queries, but smaller for SPARQL+Text queries.
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