RDF datasets are today used more and more for a great variety of applications mainly due to their exibility. However, accessing these data via the SPARQL query language can be cumbersome and frustrating for end-users accustomed to Web-based search engines. In this context, KS is becoming a key methodology to overcome access and search issues. In this paper, we further dig on our previous work on the state-of-the-art system for keyword search on RDF by giving more insights on the quality of answers produced and its behavior with different classes of queries.
Document-based RDF Keyword Search System: Query-by-Query Analysis
Dennis Dosso;Gianmaria Silvello
2020
Abstract
RDF datasets are today used more and more for a great variety of applications mainly due to their exibility. However, accessing these data via the SPARQL query language can be cumbersome and frustrating for end-users accustomed to Web-based search engines. In this context, KS is becoming a key methodology to overcome access and search issues. In this paper, we further dig on our previous work on the state-of-the-art system for keyword search on RDF by giving more insights on the quality of answers produced and its behavior with different classes of queries.File in questo prodotto:
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