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SWM@WSDM 2017: Cambridge, UK

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Proceedings of the 1st Workshop on Scholarly Web Mining, SWM@WSDM 2017, Cambridge, United Kingdom, February 10, 2017. ACM 2017, ISBN 978-1-4503-5240-6
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Sepideh Mesbah, Alessandro Bozzon, Christoph Lofi, Geert-Jan Houben:
Describing Data Processing Pipelines in Scientific Publications for Big Data Injection. 1-8
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Kento Nozawa, Kei Wakabayashi:
Scalable Algorithm for Probabilistic Overlapping Community Detection. 9-16
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Marco Rossetti, Saúl Vargas, Davide Magatti, Benjamin Pettit, Daniel Kershaw, Maya Hristakeva, Kris Jack:
Effectively identifying users' research interests for scholarly reference management and discovery. 17-24
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Maya Hristakeva, Daniel Kershaw, Marco Rossetti, Petr Knoth, Benjamin Pettit, Saúl Vargas, Kris Jack:
Building recommender systems for scholarly information. 25-32
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Mahmoud Elbattah:
ScholarBase: Towards a Cross-Domain Knowledgebase for Linked Scholarly Data. 33-40
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Drahomira Herrmannova, Robert M. Patton, Petr Knoth, Christopher G. Stahl:
Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics. 41-48
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Adam K. Kehoe, Vetle I. Torvik, Matthew B. Ross, Neil R. Smalheiser:
Predicting MeSH Beyond MEDLINE. 49-56
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Giovanni Yoko Kristianto, Akiko Aizawa:
Linking Mathematical Expressions to Wikipedia. 57-64

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