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Crowdsourcing Linked Data Quality Assessment
[chapter]
2013
Lecture Notes in Computer Science
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The results show that the two styles of crowdsourcing are complementary and that crowdsourcing-enabled quality assessment is a promising and affordable way to enhance the quality of Linked Data. ...
In this paper we look into the use of crowdsourcing as a means to handle Linked Data quality problems that are challenging to be solved automatically. ...
Crowdsourcing Linked Data Quality Assessment Our work on human-driven Linked Data quality assessment focuses on two forms of crowdsourcing: contests and paid microtasks. ...
doi:10.1007/978-3-642-41338-4_17
fatcat:oquvmpsssvdkpmh4lpyzlnpb3u
TripleCheckMate: A Tool for Crowdsourcing the Quality Assessment of Linked Data
[chapter]
2013
Communications in Computer and Information Science
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We present a methodology for assessing the quality of linked data resources, which comprises of a manual and a semi-automatic process. ...
However, these datasets are of varying quality ranging from extensively curated datasets to crowdsourced and even extracted data of relatively low quality. ...
assessment of Linked Data. ...
doi:10.1007/978-3-642-41360-5_22
fatcat:u7bykei2rbarpoj2szjvwpsbo4
Detecting Linked Data quality issues via crowdsourcing: A DBpedia study
2018
Semantic Web Journal
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way to enhance the quality of Linked Data. ...
In this paper we examine the use of crowdsourcing as a means to master Linked Data quality problems that are difficult to solve automatically. ...
Our Approach: Crowdsourcing Linked Data Quality Assessment Our work on human-driven Linked Data quality assessment focuses on applying crowdsourcing techniques to annotate RDF triples with their corresponding ...
doi:10.3233/sw-160239
fatcat:dus7b5hplzbexg47xbcw57akhq
User-driven quality evaluation of DBpedia
2013
Proceedings of the 9th International Conference on Semantic Systems - I-SEMANTICS '13
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We present a methodology for assessing the quality of linked data resources, which comprises of a manual and a semi-automatic process. ...
However, these datasets are of varying quality ranging from extensively curated datasets to crowdsourced and even extracted data of relatively low quality. ...
3), • a crowdsourcing based data quality assessment tool (Section 4), • an empirical data quality analysis of the DBpedia dataset performed using crowdsourcing (Section 5) and • a semi-automated evaluation ...
doi:10.1145/2506182.2506195
dblp:conf/i-semantics/ZaveriKSBMAL13
fatcat:loseqbfq3zezbb4fysujsi5kl4
Survey: When semantics meet crowdsourcing to enhance big data variety
2018
2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Semantic technologies, as a means of integration and coordination of heterogeneous systems, may help big data to manage terminology and relationships to link various data from different data sources. ...
Crowdsourcing platforms have the potential to integrate (entity matching, entity resolution) and analyze (sentiment analysis, image recognition) heterogeneous data sources when in some cases these integration ...
crowdsourcing would improve the quality of integrated data. ...
doi:10.1109/menacomm.2018.8371011
dblp:conf/menacomm/DhayneCS18
fatcat:gntbt5gv2zg63ppzldatfur5tq
Interlinking and Knowledge Fusion
[chapter]
2014
Lecture Notes in Computer Science
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The central assumption of Linked ...
, identity resolution, data quality assessment and data fusion. ...
Section 5 presents Sieve -Linked Data Quality Assessment and Fusion tool, which allows filtering and then fusing the Web data according to user-defined data quality assessment and conflict resolution policies ...
doi:10.1007/978-3-319-09846-3_4
fatcat:2y4lowtmvbenxcvlotfygzg55i
Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment
2013
International Journal of Distributed Sensor Networks
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This study proposes public safety data quality criteria which were developed to assess and identify the problems affecting data quality. ...
Four critical success factors were developed to ensure that high quality public safety data is collected through participatory crowdsourcing utilising voice technologies. ...
The Data Quality Framework was used to construct "yes or no" data quality assessment questions. ...
doi:10.1155/2013/907196
fatcat:tshtrt533vhszoo4ljrwnpkzna
DEMO: Managing the Provenance of Crowdsourced Disruption Reports
[chapter]
2012
Lecture Notes in Computer Science
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We are exploring the potential role of provenance to facilitate processes such as quality assessment within such systems. ...
In this demo we present an application for managing traffic disruption reports generated by the crowd, and outline the technologies used to integrate provenance, linked data, and streams. ...
A crowdsourcing application able to gather, manage, and assess disruption reports would provide an obvious solution. ...
doi:10.1007/978-3-642-34222-6_17
fatcat:el4gohi7jvavjh6d7uxwbe6l3q
Assessment of Crowdsourcing Task Multidimensional Relationship Model through Application Prototype
2018
Indonesian Journal of Electrical Engineering and Computer Science
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<p>Crowdsourcing is a process where a company outsources a task to a large group of the digital worker through an online platform. ...
In Malaysia, the crowdsourcing ecosystem comprises of three key role players which are job providers, platforms and digital workers. The cycle starts when a job issued by the job providers. ...
This assessment is conducted to measure the quality of using app prototype in order to assess the respondent satisfaction. ...
doi:10.11591/ijeecs.v12.i1.pp378-385
fatcat:fvot5z3jsreg5e7ieelnlq3cxa
TRUSTING CROWDSOURCED GEOSPATIAL SEMANTICS
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Comparing a feature's intrinsic and extrinsic properties to associated ontologies provides a means of semantically assessing the trustworthiness of crowdsourced geospatial information. ...
The degree of trust one can place in information is one of the foremost limitations of crowdsourced geospatial information. ...
Methods for assessing the semantic quality of crowdsourced geospatial information become more complex as the information becomes thematically richer. ...
doi:10.5194/isprsarchives-xl-3-w3-25-2015
fatcat:x34kr6ps2ndllnycpp3gqcyxxi
MRIQC Web-API: Crowdsourcing image quality metrics and expert quality ratings of structural and functional MRI
[article]
2017
bioRxiv
pre-print
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MRIQC is an automated MRI Quality Control tool, and here we present an extension to crowdsource these quality metrics along with anonymized metadata and manual quality ratings. ...
The MRIQC Web-API is a resource for scientists to train new automatic quality classifiers. ...
Crowdsourcing expert quality ratings : the RESTful endpoint receives the quality ratings, which are linked to the original image via their unique identifier. ...
doi:10.1101/216671
fatcat:rrylff6trzbezc75h2c2k5by5a
Crowdsourcing and the Semantic Web: A Research Manifesto
2015
Human Computation
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This research manifesto is an outcome of the Dagstuhl Seminar 14282: Crowdsourcing and the Semantic Web. ...
This research manifesto is an outcome of the Dagstuhl Seminar 14282: Crowdsourcing and the Semantic Web. ...
This research manifesto is an outcome of the Dagstuhl Seminar 14282: Crowdsourcing and the Semantic Web , which in July 2014 brought together 26 members of this emerging research community to reflect upon ...
doi:10.15346/hc.v2i1.2
dblp:journals/hc/SarasuaSNBL15
fatcat:khohzcitmvdxvgyeahp66f7gry
Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions
2018
Reviews of Geophysics
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quality, data processing and data privacy. ...
Key Points Different crowdsourcing-based methods for acquiring geophysical data are reviewed and categorized across seven domains of geophysics Project management, data quality, data processing and ...
Acknowledgments, Samples, and Data Professor Feifei Zheng ...
doi:10.1029/2018rg000616
fatcat:365pv43nbvdrvbpt6elmlmpmca
Service-oriented data quality engineering and data publishing in the cloud
2010
2010 IEEE International Conference on Service-Oriented Computing and Applications (SOCA)
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The emerging cloud computing paradigm could potentially offer high-quality, composable data and techniques, under the Software-as-a-Service (SaaS), Data-asa-Service (DaaS) and crowdsourcing models, for ...
data quality engineering and data publishing. ...
., data quality assessment [28] and data provenance [29] ) of the DQE process and they do not address the possibility to use crowdsourcing rules, workflows and services.
V. ...
doi:10.1109/soca.2010.5707184
dblp:conf/soca/ComerioTBD10
fatcat:lhhzejv37bajhevowmtkkleq5i
A Preliminary Study on Mechanism and Measurement of Trustworthiness on a Crowdsourcing Platform
2019
International Journal of Advanced Trends in Computer Science and Engineering
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Therefore, the need to evaluate and measure the trustworthiness of crowdsourced data is of utmost importance. ...
The aim is to investigate the different mechanism and measurements of trust and reliability of crowdsourced data. ...
User Rating based Screening (URS) [9]
Image quality assessment To ensure the quality of the results in image quality assessment. ...
doi:10.30534/ijatcse/2019/7181.32019
fatcat:kgwipuccmvdqhbw7hdfmjqhvui
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