2017
DOI: 10.2139/ssrn.3199306
|View full text |Cite
|
Sign up to set email alerts
|

Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing

Abstract: Linked Open Data initiatives have encouraged the publication of large RDF datasets into the Linking Open Data (LOD) cloud, including DBpedia, YAGO, and Geo-Names. Despite the size of LOD datasets and the development of (semi-)automatic methods to create and link LOD data, these datasets may be still incomplete, negatively affecting thus accuracy of Linked Data processing techniques. We acquire query answer completeness by capturing knowledge collected from the crowd, and propose a novel hybrid query processing… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 23 publications
0
1
0
Order By: Relevance
“…The structured query language (SQL) query language declarative interface toward the crowd is provided by the recent crowdsourcing systems such as Deco, CrowdDB, and Qurk. 3 Thus, the system usability is improved using a declarative query and it provides a query execution plan of near-optimal to every query. The significance impacts are stimulated during the difficult type of question and the monetary cost raised.…”
Section: Introductionmentioning
confidence: 99%
“…The structured query language (SQL) query language declarative interface toward the crowd is provided by the recent crowdsourcing systems such as Deco, CrowdDB, and Qurk. 3 Thus, the system usability is improved using a declarative query and it provides a query execution plan of near-optimal to every query. The significance impacts are stimulated during the difficult type of question and the monetary cost raised.…”
Section: Introductionmentioning
confidence: 99%