Shaping Wikipedia into a Computable Knowledge Base
Wikipedia is arguably the most important information source yet invented for natural language processing (NLP) and artificial intelligence, in addition to its role as humanity's largest encyclopedia. Wikipedia is the principal information source for such prominent services as IBM's Watson [1] Freebase [2] the Google Knowledge Graph [3] Apple's Siri [4] YAGO [5] and DBpedia [6] the core reference structure for linked open data [7] Wikipedia information has assumed a prominent role in NLP applications in word sense disambiguation, named entity recognition, co reference resolution, and multi lingual alignments; in information retrieval in query expansion, multi lingual retrieval, question answering, entity ranking, text categorization, and topic indexing; and in semantic applications in topic extraction, relation extraction, entity extraction, entity typing, semantic relatedness, and ontology building [8]