Open Knowledge Extraction Challenge 2018

René Speck,Michael Röder,Felix Conrads, Hyndavi Rebba, Catherine Camilla Romiyo, Gurudevi Salakki,Rutuja Suryawanshi, Danish Ahmed,Nikit Srivastava, Mohit Mahajan,Axel-Cyrille Ngonga Ngomo

user-5f8cf9244c775ec6fa691c99(2018)

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摘要
The fourth edition of the Open Knowledge Extraction Challenge took place at the 15th Extended Semantic Web Conference in 2018. The aim of the challenge was to bring together researchers and practitioners from academia as well as industry to compete of pushing further the state of the art in knowledge extraction from text for the Semantic Web. This year, the challenge reused two tasks from the former challenge and defined two new tasks. Thus, the challenge consisted of tasks such as Named Entity Identification, Named Entity Disambiguation and Linking as well as Relation Extraction. To ensure an objective evaluation of the performance of participating systems, the challenge ran on a version the FAIR benchmarking platform Gerbil integrated in the HOBBIT platform. The performance was measured on manually curated gold standard datasets with Precision, Recall, F1-measure and the runtime of participating systems.
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关键词
Entity linking,Knowledge extraction,Relationship extraction,Semantic Web,Benchmarking,Information retrieval,Computer science,Recall,Named entity,Open knowledge
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