Add to ORKGDeco is a comprehensive system for answering declar-ative queries posed over stored relational data together with data obtained on-demand from the crowd. In this overview paper, we describe Deco’s data model, query language, and system prototype, summarizing material from earlier papers. Deco’s data model was designed to be general, flexible, and principled. Deco’s query lan-guage extends SQL with simple constructs necessary for crowdsourcing, and has a precise semantics for arbitrary queries. Deco’s query execution engine and cost-based query optimizer incorporate many novel techniques to address the limitations of traditional query processing techniques in the crowdsourcing setting. Query process-ing is guided by the objective of minimizi...
n this paper, we provide a novel approach for effectively and efficiently support query processing t...
Crowd data sourcing is increasingly used to gather infor-mation from the crowd and to obtain recomme...
In this paper, we provide a novel approach for effectively and efficiently support query processing ...
We are building Deco, a comprehensive system for answering declar-ative queries posed over stored re...
Crowdsourcing enables programmers to incorporate “human com-putation ” as a building block in algori...
Deco is a comprehensive system for answering declarative queries posed over stored relational data t...
Abstract—We study the query optimization problem in declarative crowdsourcing systems. Declarative c...
Crowd-sourcing is a powerful solution to correctly answer expensive and unanswered queries in the da...
We think about the query optimization issue in Generic crowdsourcing system. Generic crowdsourcing i...
Hybrid human/computer systems promise to greatly expand the usefulness of query processing by incorp...
The data management community has been historically (and perhaps myopically) focused on processing S...
The Consumer Is Just Needed To Submit An Sql-Like Query And Also The System Takes Down To Compiling ...
By incorporating human workers into the query execution process crowd-enabled databases facilitate i...
Abstract—This paper proposes NOXPERANTO, a novel crowdsourcing approach to address querying over dat...
Linked Open Data initiatives have encouraged the publication of large RDF datasets into the Linking ...
n this paper, we provide a novel approach for effectively and efficiently support query processing t...
Crowd data sourcing is increasingly used to gather infor-mation from the crowd and to obtain recomme...
In this paper, we provide a novel approach for effectively and efficiently support query processing ...
We are building Deco, a comprehensive system for answering declar-ative queries posed over stored re...
Crowdsourcing enables programmers to incorporate “human com-putation ” as a building block in algori...
Deco is a comprehensive system for answering declarative queries posed over stored relational data t...
Abstract—We study the query optimization problem in declarative crowdsourcing systems. Declarative c...
Crowd-sourcing is a powerful solution to correctly answer expensive and unanswered queries in the da...
We think about the query optimization issue in Generic crowdsourcing system. Generic crowdsourcing i...
Hybrid human/computer systems promise to greatly expand the usefulness of query processing by incorp...
The data management community has been historically (and perhaps myopically) focused on processing S...
The Consumer Is Just Needed To Submit An Sql-Like Query And Also The System Takes Down To Compiling ...
By incorporating human workers into the query execution process crowd-enabled databases facilitate i...
Abstract—This paper proposes NOXPERANTO, a novel crowdsourcing approach to address querying over dat...
Linked Open Data initiatives have encouraged the publication of large RDF datasets into the Linking ...
n this paper, we provide a novel approach for effectively and efficiently support query processing t...
Crowd data sourcing is increasingly used to gather infor-mation from the crowd and to obtain recomme...
In this paper, we provide a novel approach for effectively and efficiently support query processing ...