Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Information Quality |
Description | Jodi Schneider & team, School of Information Sciences, University of Illinois at |
Keywords | N/A |
WebSite | infoqualitylab.org |
Host IP | 185.199.110.153 |
Location | - |
Site | Rank |
US$830,946
Last updated: 2023-05-19 05:59:34
infoqualitylab.org has Semrush global rank of 12,737,661. infoqualitylab.org has an estimated worth of US$ 830,946, based on its estimated Ads revenue. infoqualitylab.org receives approximately 95,879 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, infoqualitylab.org is safe to visit. |
Purchase/Sale Value | US$830,946 |
Daily Ads Revenue | US$768 |
Monthly Ads Revenue | US$23,011 |
Yearly Ads Revenue | US$276,130 |
Daily Unique Visitors | 6,392 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
infoqualitylab.org. | A | 3599 | IP: 185.199.110.153 |
infoqualitylab.org. | A | 3599 | IP: 185.199.111.153 |
infoqualitylab.org. | A | 3599 | IP: 185.199.108.153 |
infoqualitylab.org. | A | 3599 | IP: 185.199.109.153 |
infoqualitylab.org. | NS | 21600 | NS Record: ns1092.ui-dns.de. |
infoqualitylab.org. | NS | 21600 | NS Record: ns1035.ui-dns.com. |
infoqualitylab.org. | NS | 21600 | NS Record: ns1055.ui-dns.org. |
infoqualitylab.org. | NS | 21600 | NS Record: ns1074.ui-dns.biz. |
infoqualitylab.org. | MX | 3600 | MX Record: 10 mx00.1and1.com. |
infoqualitylab.org. | MX | 3600 | MX Record: 10 mx01.1and1.com. |
Skip links Skip to primary navigation Skip to footer Menu --> Home Publications People Reducing the Inadvertent Spread of Retracted Science Knowledge Brokers Information Quality Lab Jodi Schneider & team, School of Information Sciences, University of Illinois at Urbana-Champaign The information quality lab studies the science of science, bibliographic information retrieval (especially retrieval and quality of medical information), and how evidence-based arguments are used in scholarship and in public discourse. The long-term goal of the lab’s work is to develop computer support for debate and argumentation, especially evidence synthesis. The lab’s technical perspective draws on data science, argumentation, knowledge representation, computer supported cooperative work, and human-computer interaction. Technical skills commonly used in this lab include data science (machine learning, network analysis, textmining), knowledge representation (ontologies and semantic technologies), |
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