Corroborating information from disagreeing views

Galland, Alban; Abiteboul, Serge; Marian, Amélie; Senellart, Pierre

doi:10.1145/1718487.1718504

Cited by 267 publications

(240 citation statements)

References 21 publications

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“…The basic fact-finders include Hubs and Authorities [10], Average.Log [12], and TruthFinder [17]. Other extended fact-finders further analyze properties or dependencies within assertions and sources [2], [5]- [8]. Trust analysis has been performed for both homogeneous and heterogeneous network topology [13], [18].…”

Section: Related Workmentioning

confidence: 99%

“…This extension prevents sources from obtaining high reliability and confidence in estimation by simply making many trivially true observations. There are techniques that analyze the hardness of observations, which is possible to be integrated with our scheme [8]. In this paper, sources are assumed to report positive states of measured variables (e.g., litter found) only and ignore the negative states.…”

Section: Limitations and Future Workmentioning

confidence: 99%

See 1 more Smart Citation

On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing

Wang

Kaplan

Abdelzaher

et al. 2012

2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)

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Abstract-This paper estimates new confidence bounds on source reliability in social sensing applications. Scalable and robust estimation of source reliability is a key challenge in social sensing where humans or human-operated sensors act as data sources. In order to assess correctness of data, the reliability of sources must first be assessed, yet this is complicated when sources are not a priori known and vetted, but rather can opt in at will, for example, by downloading a sensing application on their mobile device. In our previous work, we developed a maximum likelihood source reliability estimator and approximately quantified confidence in its estimation based on an asymptotic Cramer-Rao lower bound (CRLB). In this paper we show that the asymptotic bound fails to track estimation performance when the number of sources is small. We derive the real CRLB to accurately characterize estimation performance for scenarios where the asymptotic bound fails. We study the limitations of the real and asymptotic CRLBs and show the trade-offs they offer between computational complexity and estimation scalability. We also evaluate the robustness of these bounds to changes in the number of sources. The results offer an understanding of attainable estimation accuracy of source reliability in social sensing applications that rely on un-vetted sources whose reliability is not known in advance.

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Section: Related Workmentioning

confidence: 99%

Section: Limitations and Future Workmentioning

confidence: 99%

On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing

Wang

Kaplan

Abdelzaher

et al. 2012

2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)

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show abstract

“…It is based on an iterative algorithm that exploits the mutual dependency between source accuracy and consensus among sources. Similarly [11] and more recently [9] other approaches presented fix-point algorithms to estimate the true values of data reported by a set of sources, together with the accuracy of the sources. These approaches do not consider source dependencies and they all deal with simple data.…”

Section: Related Workmentioning

confidence: 99%

“…Several proposals [12,9] have been recently developed to discover the true value from those provided by a large number of conflicting data sources. These solutions extend a basic vote counting strategy in several ways: first, they recognize that values provided by accurate sources, i.e.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources

Blanco

Crescenzi

Merialdo

et al. 2010

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inherently imprecise and uncertain and even if novel approaches to deal with the uncertain data have been recently proposed, they assume that the data are provided with an associated uncertain degree. This paper addresses the issue of characterizing the uncertainty of data extracted from a number of inaccurate sources. We developed a probabilistic model to compute a probability distribution for the extracted values, and the accuracy of the sources. Our model considers the presence of sources that copy their contents from other sources, and can deal with the misleading consensus produced by copiers. Our model extends the models previously proposed in the literature by working on several attributes at a time to better leverage all the available evidence. We also report the results of several experiments on both synthetic and real-life data to show the effectiveness of the proposed approach.

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“…In recent years, the athletes nutrition and supplement testing of anaerobic endurance track and field events have been in-depth researched in the field of traditional track and field events [1][2][3] . However, with the development of network information technology, computer science, mobile technology, a large amount of application models of wireless scanning technology flow appear in many fields, which including communication management, financial application, data processing of sensor and so on.…”

Section: Introductionmentioning

confidence: 99%

The Testing Methods Research on Athletes Nutrition and Supplement of Anaerobic Endurance Track and Field Events Based on Wireless Scanning Technology

Wan¹

2017

Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

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Abstract. It is widely researched and confirmed in traditional track and field events that the athletes nutrition and supplement testing of anaerobic endurance track and field events could make nutritional integration which may come from different nutrient sources. However, some existing athletes nutrition and supplement testing methods could not adapt the application of Wireless Scanning Technology Flow for the reason that these existing methods include iterative process. As far as the Wireless Scanning Technology Flow is concerned, this technology flow has obvious characteristics and also make an survey on athletes nutrition and supplement testing of anaerobic endurance track and field events from the perspective of data flow. On this basis, this article could make effective use of wireless scanning data and also advance strategies which could make a frequency conversion evaluation on reliability of nutrient sources, and this strategy could decrease these required iterative process, and also increase efficiency during different time. And this article proposes a algorithm named HQW which could be used to make frequency conversion evaluation on reliability of nutrient sources. The HQW combines historical data and determines the evaluation moment of reliability of nutrient sources dynamically, this algorithm not only insure the athletes nutrition and supplement testing of anaerobic endurance track and field events could research the standard, but also increase efficiency. At last, this paper further validates the efficiency and accuracy of HQW on perception and handling of athletes nutrition and supplement testing by wireless scanning technology flow through the experiment on the real wireless scanning data set.

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Corroborating information from disagreeing views

Cited by 267 publications

References 21 publications

On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing

On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing

Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources

The Testing Methods Research on Athletes Nutrition and Supplement of Anaerobic Endurance Track and Field Events Based on Wireless Scanning Technology

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