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Infoboxer: Using Statistical and Semantic Knowledge to Help Creating Wikipedia Infoboxes

"This is a list of major active Open APIs, or Application programming interfaces, sets of technologies that enable applications to interact with each other."

"KBpedia is a comprehensive knowledge structure for promoting data interoperability and knowledge-based artificial intelligence, or KBAI. The KBpedia knowledge structure combines six (6) public knowledge bases - Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL - into an integrated whole. KBpedia's upper structure, or knowle"

Wikidata is a project to create a free knowledge base about the world that can be read and edited by humans and machines alike. It will provide data in all the languages of the Wikimedia projects, and allow for central access to the data in a way similar to what Wikimedia Commons does for multimedia files.

"KBpedia is a computable knowledge structure that combines six (6) public knowledge bases - Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL - into an integrated whole. The knowledge graph that organizes this computable framework is the KBpedia Knowledge Ontology (KKO). KBpedia is the entirety of the combined knowledge bases; KKO is the schema by which these combined sources are made coherent.[1]"

This is the Countries of the World demo site. This Silk site contains pages for all the United Nations member states. All capitals, Heads of State and Heads of Government are included. The content originates from Wikipedia.org.

Wikidata aims to create a free knowledge base about the world that can be read and edited by humans and machines alike. It will provide data in all the languages of the Wikimedia projects, and allow for the central access to data in a similar vein as Wikimedia Commons does for multimedia files. Wikidata is currently in development.

YAGO is a huge semantic knowledge base. Currently, YAGO knows more than 2 million entities (like persons, organizations, cities, etc.). It knows 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%. YAGO is part of the YAGO-NAGA project at the Max-Planck Institute for Informatics in Saarbrücken/Germany.