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Apollo: Toward Fact-finding for Social (Human Centric) Sensing

Pollo is a new assured information distillation tool for uncovering likely facts in noisy social (human-centric) sensing data. Ocial sensing, where users proactively document and share their observations, has received significant attention in recent years as a paradigm for crowd-sourcing observation tasks. However, it poses interesting challenges in assessing confidence in the information received. His is a collaborative work of. 169; CyPhy Lab, Computer Science Department.

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Apollo: Toward Fact-finding for Social (Human Centric) Sensing | apollo.cs.illinois.edu Reviews
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Pollo is a new assured information distillation tool for uncovering likely facts in noisy social (human-centric) sensing data. Ocial sensing, where users proactively document and share their observations, has received significant attention in recent years as a paradigm for crowd-sourcing observation tasks. However, it poses interesting challenges in assessing confidence in the information received. His is a collaborative work of. 169; CyPhy Lab, Computer Science Department.
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Apollo: Toward Fact-finding for Social (Human Centric) Sensing | apollo.cs.illinois.edu Reviews

https://apollo.cs.illinois.edu

Pollo is a new assured information distillation tool for uncovering likely facts in noisy social (human-centric) sensing data. Ocial sensing, where users proactively document and share their observations, has received significant attention in recent years as a paradigm for crowd-sourcing observation tasks. However, it poses interesting challenges in assessing confidence in the information received. His is a collaborative work of. 169; CyPhy Lab, Computer Science Department.

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1

Apollo's Publications

http://apollo.cs.illinois.edu/publications.html

Social Sensing: Building Reliable Systems on Unreliable Data. Dong Wang, Tarek Abdelzaher, Lance Kaplan,. 1st Edition, April, 2015. SocialTrove: A Self-summarizing Storage Service for Social Sensing. Md Tanvir Amin, Shen Li, Muntasir Raihan Rahman, Panindra Seetharamu, Shiguang Wang, Tarek Abdelzaher, Indranil Gupta, Mudhakar Srivatsa, Raghu Ganti, Reaz Ahmed, Hieu Le, In Proceedings of the IEEE International Conference on Autonomic Computing (ICAC'15), Grenoble, France, July 2015. Best Paper Award.

2

Apollo's People

http://apollo.cs.illinois.edu/people.html

Is an associate professor of Department of Computer Science. Is a professor of Department of Computer Science. Is a professor of Department of Computer Science. Thomas S. Huang. Is a professor of Department of Electrical and Computer Engineering. Is a PhD candidate of Department of Computer Science. Is a masters student of Department of Computer Science. Holds a PhD from Department of Computer Science. Holds a PhD from Department of Computer Science. Holds a PhD from Department of Computer Science.

3

Apollo's Datasets

http://apollo.cs.illinois.edu/datasets.html

Opyright notice: This page contains examples of datasets collected by Apollo. Please cite the source of these datasets as the 'Apollo Project, NS CTA' when using these datasets in your publications, demos, or presentations. We suggest citing the following paper as the formal reference to Apollo:. Proc ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN). Around 1.8 million tweets were collected from January 31, 2011 to February 19, 2011. (download).

4

Apollo's Demos

http://apollo.cs.illinois.edu/demos.html

This application takes millions of tweets created during an event and constructs the story of the event hour by hour by picking out the most important tweet(s) of every hour. 169; CyPhy Lab, Computer Science Department. University of Illinois at Urbana Champaign.

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Apollo: Toward Fact-finding for Social (Human Centric) Sensing

Pollo is a new assured information distillation tool for uncovering likely facts in noisy social (human-centric) sensing data. Ocial sensing, where users proactively document and share their observations, has received significant attention in recent years as a paradigm for crowd-sourcing observation tasks. However, it poses interesting challenges in assessing confidence in the information received. His is a collaborative work of. 169; CyPhy Lab, Computer Science Department.

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Apollo: Toward Fact-finding for Social (Human-Centric) Sensing

Pollo is a new assured information distillation tool for uncovering likely facts in noisy social (human-centric) sensing data. Ocial sensing, where users proactively document and share their observations, has received significant attention in recent years as a paradigm for crowd-sourcing observation tasks. However, it poses interesting challenges in assessing confidence in the information received. His is a collaborative work of. 169; Department of Computer Science and Engineering.

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