Crowdstore: A Crowdsourcing Graph Database

Liptchinsky, Vitaliy; Satzger, Benjamin; Schulte, Stefan; Dustdar, Schahram

doi:10.1007/978-3-319-28910-6_7

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following this working idea, information retrieval researchers have pursued the applicability of leveraging the people's potential for improving related tasks. More specifically, taking advantages of collective human intelligence for corpus annotation (Krishna et al, 2017;Tayyub et al, 2017), query interpretation (Ciceri et al, 2016;Chen et al, 2016) and other database-related processes (Liptchinsky et al, 2015;Trushkowsky et al, 2015;Zhao et al, 2015) have gained momentum. To introduce some, the following are worth mentioning: as a notable work in this context, Franklin et al (2011) proposed CrowdDB.…”

Section: Related Workmentioning

confidence: 99%

Crowdsourcing for search engines: perspectives and challenges

Moradi

2019

IJCS

View full text Add to dashboard Cite

Purpose As a relatively new computing paradigm, crowdsourcing has gained enormous attention in the recent decade. Its compliance with the Web 2.0 principles, also, puts forward unprecedented opportunities to empower the related services and mechanisms by leveraging humans’ intelligence and problem solving abilities. With respect to the pivotal role of search engines in the Web and information community, this paper aims to investigate the advantages and challenges of incorporating people – as intelligent agents – into search engines’ workflow. Design/methodology/approach To emphasize the role of the human in computational processes, some specific and related areas are studied. Then, through studying the current trends in the field of crowd-powered search engines and analyzing the actual needs and requirements, the perspectives and challenges are discussed. Findings As the research on this topic is still in its infancy, it is believed that this study can be considered as a roadmap for future works in the field. In this regard, current status and development trends are delineated through providing a general overview of the literature. Moreover, several recommendations for extending the applicability and efficiency of next generation of crowd-powered search engines are presented. In fact, becoming aware of different aspects and challenges of constructing search engines of this kind can shed light on the way of developing working systems with respect to essential considerations. Originality/value The present study was aimed to portrait the big picture of crowd-powered search engines and possible challenges and issues. As one of the early works that provided a comprehensive report on different aspects of the topic, it can be regarded as a reference point.

show abstract

Section: Related Workmentioning

confidence: 99%

Crowdsourcing for search engines: perspectives and challenges

Moradi

2019

IJCS

View full text Add to dashboard Cite

show abstract

Crowdstore: A Crowdsourcing Graph Database

Cited by 1 publication

References 13 publications

Crowdsourcing for search engines: perspectives and challenges

Crowdsourcing for search engines: perspectives and challenges

Contact Info

Product

Resources

About