From the Semantic Web to social machines: A research challenge for AI on the World Wide Web von Hendler, Jim, Berners-Lee, Tim

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The National Cancer Institute’s Thésaurus and Ontology von Golbeck, Jennifer, Fragoso, Gilberto, Hartel, Frank, Hendler, Jim, Oberthaler, Jim, Parsia, Bijan

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In Memoriam: Adele Howe von Hendler, Jim

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Web 3.0 Emerging von Hendler, J.

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Broad Data: Exploring the Emerging Web of Data von Hendler, Jim

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Web 3.0: Chicken Farms on the Semantic Web von Hendler, J.

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Peta Vs. Meta von Hendler, Jim

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Reflections on Successful Research in Artificial Intelligence von Chen, Ching-Hua, Hendler, Jim, Rashid, Sabbir, Seneviratne, Oshani, Sow, Daby, Srivastava, Biplav

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Reflections on Successful Research in Artificial Intelligence: An Introduction: Editorial Introduction to the Special Articles on Successful Research in AI von Chen, Ching‐Hua, Hendler, Jim, Rashid, Sabbir, Seneviratne, Oshani, Sow, Daby, Srivastava, Biplav

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Reflections on Successful Research in Artificial Intelligence: An Introduction von Chen, Ching-Hua, Hendler, Jim, Rashid, Sabbir, Seneviratne, Oshani, Sow, Daby, Srivastava, Biplav

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The Web Science Observatory von Tiropanis, T., Hall, W., Shadbolt, N., De Roure, David, Contractor, N., Hendler, J.

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N3Logic: A logical framework for the World Wide Web von BERNERS-LEE, TIM, CONNOLLY, DAN, KAGAL, LALANA, SCHARF, YOSI, HENDLER, JIM

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The Semantic Web: A Network of Understanding von Hendler, Jim

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Semantic Sentiment Analysis of Twitter von Saif, Hassan, He, Yulan, Alani, Harith

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The Semantic Web challenge, 2008 von Mika, Peter, Hendler, Jim

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Society Online, Part 2 [Guest editors' introduction] von Hendler, J, Hall, W

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Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, RDFS, and OWL von Hendler, James, Gandon, Fabien, Allemang, Dean

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Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science von Berendt, Bettina, Gandon, Fabien, Halford, Susan, Hall, Wendy, Hendler, Jim, Kinder-Kurlanda, Katharina E, Ntoutsi, Eirini, Staab, Steffen

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A Machine Learning Approach for Instance Matching Based on Similarity Metrics von Rong, Shu, Niu, Xing, Xiang, Evan Wei, Wang, Haofen, Yang, Qiang, Yu, Yong

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Predicting Reasoning Performance Using Ontology Metrics von Kang, Yong-Bin, Li, Yuan-Fang, Krishnaswamy, Shonali

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