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SWM@WSDM 2017: Cambridge, UK
- 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 
- Sepideh Mesbah, Alessandro Bozzon  , Christoph Lofi, Geert-Jan Houben: , Christoph Lofi, Geert-Jan Houben:
 Describing Data Processing Pipelines in Scientific Publications for Big Data Injection. 1-8
- Kento Nozawa, Kei Wakabayashi: 
 Scalable Algorithm for Probabilistic Overlapping Community Detection. 9-16
- Marco Rossetti, Saúl Vargas, Davide Magatti, Benjamin Pettit, Daniel Kershaw  , Maya Hristakeva, Kris Jack: , Maya Hristakeva, Kris Jack:
 Effectively identifying users' research interests for scholarly reference management and discovery. 17-24
- Maya Hristakeva, Daniel Kershaw  , Marco Rossetti, Petr Knoth, Benjamin Pettit, Saúl Vargas, Kris Jack: , Marco Rossetti, Petr Knoth, Benjamin Pettit, Saúl Vargas, Kris Jack:
 Building recommender systems for scholarly information. 25-32
- Mahmoud Elbattah  : :
 ScholarBase: Towards a Cross-Domain Knowledgebase for Linked Scholarly Data. 33-40
- Drahomira Herrmannova  , Robert M. Patton, Petr Knoth, Christopher G. Stahl , 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
- Adam K. Kehoe, Vetle I. Torvik, Matthew B. Ross  , Neil R. Smalheiser: , Neil R. Smalheiser:
 Predicting MeSH Beyond MEDLINE. 49-56
- Giovanni Yoko Kristianto, Akiko Aizawa: 
 Linking Mathematical Expressions to Wikipedia. 57-64

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