Crowdsourcing and the Semantic Web: A Research Manifesto

Sarasua, Cristina; Simperl, Elena; Noy, Natalya F.; Bernstein, Abraham; Leimeister, Jan Marco

doi:10.15346/hc.v2i1.2

Cited by 19 publications

(30 citation statements)

References 49 publications

(35 reference statements)

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“…There exist several synergies between the fields of Semantic Web and Human Computation that open up a number of avenues for research [40].…”

Section: Synergies Of Semantic Web and Human Computation Researchmentioning

confidence: 99%

“…The potential benefits at the intersection of Semantic Web and Human Computation fields were already discussed in 2015 [40], where two main possible research branches where identified and documented.…”

Section: Synergies Of Semantic Web and Human Computation Researchmentioning

confidence: 99%

“…We refer to this branch as HC&C for Semantic Web (shortly, HC4SW). Two scenarios were envisioned in [40] as typical for the HC4SW research line, as follows:…”

Section: Synergies Of Semantic Web and Human Computation Researchmentioning

confidence: 99%

“…In 2015, a research manifesto [40] proposed a roadmap for research at the intersection of the Semantic Web and Crowdsourcing research areas, advocating the existence of ample synergies between these two research fields that need to be exploited. The manifesto and the general enthusiasm for this line of research motivated us to organize a special issue as an outlet for publishing papers at the intersection of Semantic Web * Corresponding author.…”

Section: Introductionmentioning

confidence: 99%

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Semantic Web and Human Computation: The status of an emerging field

Sabou

Aroyo

Bontcheva

et al. 2018

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This editorial paper introduces a special issue that solicited papers at the intersection of Semantic Web and Human Computation research. Research in that inter-disciplinary space dates back a decade, and has been acknowledged as a research line of its own by a seminal research manifesto published in 2015. But where do we stand in 2018? How did this research line evolve during the last decade? How do the papers in this special issue align with the main lines of work of the community? In this editorial we inspect and reflect on the evolution of research at the intersection of Semantic Web and Human Computation. We use a methodology based on Systematic Mapping Studies to collect quantitative bibliographic data which we analyze through the lens of research topics envisioned by the research manifesto to characterize the evolution of research in this area, thus providing a context for introducing the papers of this special issue. We found evidences of a thriving research field; while steadily maturing, the field offers a number of open research opportunities for work where Semantic Web best practices and techniques are applied to support and improve the state-of-the-art in Human Computation, but also for work that exploits the strength of both areas to address scientifically and societally relevant issues.

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“…There exist several synergies between the fields of Semantic Web and Human Computation that open up a number of avenues for research [40].…”

Section: Synergies Of Semantic Web and Human Computation Researchmentioning

confidence: 99%

Section: Synergies Of Semantic Web and Human Computation Researchmentioning

confidence: 99%

“…We refer to this branch as HC&C for Semantic Web (shortly, HC4SW). Two scenarios were envisioned in [40] as typical for the HC4SW research line, as follows:…”

Section: Synergies Of Semantic Web and Human Computation Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Semantic Web and Human Computation: The status of an emerging field

Sabou

Aroyo

Bontcheva

et al. 2018

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“…Research has been conducted in classifying different types of crowdsourcing initiatives, to predict their success based on project characteristics (Noordegraaf et al, 2014). Sarasua et al (2015) discuss guidelines to how Semantic Web technology can support design and management of crowdsourcing projects, while Yadav and Darlington (2016) introduce guidelines for designing platforms hosting multiple projects. Methodology papers that outline steps to successfully run a crowdsourcing campaign are however scarce.…”

Section: Related Workmentioning

confidence: 99%

Group Minds and the Case of Wikipedia

DeDeo

2014

HCj

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Group-level cognitive states are widely observed in human social systems, but their discussion is often ruled out a priori in quantitative approaches. In this paper, we show how reference to the irreducible mental states and psychological dynamics of a group is necessary to make sense of large scale social phenomena. We introduce the problem of mental boundaries by reference to a classic problem in the evolution of cooperation. We then provide an explicit quantitative example drawn from ongoing work on cooperation and conflict among Wikipedia editors, showing how some, but not all, effects of individual experience persist in the aggregate. We show the limitations of methodological individualism, and the substantial benefits that come from being able to refer to collective intentions, and attributions of cognitive states of the form "what the group believes" and "what the group values."

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Semantic thingsourcing for the Internet of Things

Maamar

Faci

Elnaffar

et al. 2021

Concurrency and Computation

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In the context of Internet of Things, thingsourcing is poised to promote the collective behavior that should prevail among things despite their independent nature being confined into silos. By analogy with crowdsourcing where crowds of (sometimes anonymous) people are contacted for their expertise, thingsourcing abstracts crowds of things and provides the necessary mechanisms for composing things together so they collectively satisfy users' demands. However, to ensure successful discovery of things according to these demands' requirements, an ontology-based semantic description of things is deemed necessary. This article presents an approach for enriching things' descriptions semantically in preparation for their composition with respect to specific scripts that define who will do what, when, and where. A system demonstrating semantic thingsourcing along with a case study about dairy supply-chain is presented in this article as well.

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Crowdsourcing and the Semantic Web: A Research Manifesto

Cited by 19 publications

References 49 publications

Semantic Web and Human Computation: The status of an emerging field

Semantic Web and Human Computation: The status of an emerging field

Group Minds and the Case of Wikipedia

Semantic thingsourcing for the Internet of Things

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