linkedgeodata.org valuation and analysis

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Title Home -
Description Powered OpenStreetMap for the Semantic
Keywords N/A
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WebSite linkedgeodata faviconlinkedgeodata.org
Host IP 139.18.2.37
Location Germany
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linkedgeodata.org Valuation
US$987,782
Last updated: 2023-04-30 01:11:24

linkedgeodata.org has Semrush global rank of 10,715,231. linkedgeodata.org has an estimated worth of US$ 987,782, based on its estimated Ads revenue. linkedgeodata.org receives approximately 113,975 unique visitors each day. Its web server is located in Germany, with IP address 139.18.2.37. According to SiteAdvisor, linkedgeodata.org is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$987,782
Daily Ads Revenue US$912
Monthly Ads Revenue US$27,354
Yearly Ads Revenue US$328,248
Daily Unique Visitors 7,599
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
linkedgeodata.org. A 3599 IP: 139.18.2.37
linkedgeodata.org. AAAA 3599 IPV6: 2001:638:902:2003:5054:ff:fe01:9fc4
linkedgeodata.org. NS 86400 NS Record: ns3.inwx.eu.
linkedgeodata.org. NS 86400 NS Record: ns.inwx.de.
linkedgeodata.org. NS 86400 NS Record: ns2.inwx.de.
HtmlToTextCheckTime:2023-04-30 01:11:24
Link Search Menu Expand Document (external link) Home Updates Downloads Online Access RDF Mapping Use Cases Publications Community Examples OpenStreetMap Development Architecture Contact / Imprint Build lgd-pubby-web This site uses Just the Docs , a documentation theme for Jekyll. LinkedGeoData is an effort to add a spatial dimension to the Web of Data / Semantic Web. LinkedGeoData uses the information collected by the OpenStreetMap project and makes it available as an RDF knowledge base according to the Linked Data principles. It interlinks this data with other knowledge bases in the Linking Open Data initiative. View it on GitHub Powered By The LinkedGeoData Knowledge Base In order to employ the Web as a medium for data and information integration, comprehensive datasets and vocabularies are required as they enable the disambiguation and alignment of other data and information. Many real-life information integration and aggregation tasks are impossible without comprehensive
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