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An Overview of Microsoft Academic Service (MAS) and Applications

Sinha, Arnab, Shen, Zhihong, Song, Yang, Ma, Hao, Eide, Darrin, Hsu, Bo-June (Paul), Wang, Kuansan·2015·Proceedings of the 24th International Conference on World Wide Web
DOI 10.1145/2740908.2742839
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Abstract

In this paper we describe a new release of a Web scale entity graph that serves as the backbone of Microsoft Academic Service (MAS), a major production effort with a broadened scope to the namesake vertical search engine that has been publicly available since 2008 as a research prototype. At the core of MAS is a heterogeneous entity graph comprised of six types of entities that model the scholarly activities: field of study, author, institution, paper, venue, and event. In addition to obtaining these entities from the publisher feeds as in the previous effort, we in this version include data mining results from the Web index and an in-house knowledge base from Bing, a major commercial search engine. As a result of the Bing integration, the new MAS graph sees significant increase in size, with fresh information streaming in automatically following their discoveries by the search engine. In addition, the rich entity relations included in the knowledge base provide additional signals to disambiguate and enrich the entities within and beyond the academic domain. The number of papers indexed by MAS, for instance, has grown from low tens of millions to 83 million while maintaining an above 95% accuracy based on test data sets derived from academic activities at Microsoft Research. Based on the data set, we demonstrate two scenarios in this work: a knowledge driven, highly interactive dialog that seamlessly combines reactive search and proactive suggestion experience, and a proactiv…

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Research works printed but not linked: 13

  1. Microsoft, 2013, http://datamarket.azure.com/dataset/mrc/microsoftacademic
  2. Acharya A., 2014, CoRR
  3. 10.1007/978-3-540-30192-9_58 · DOI
  4. 10.1145/2623330.2623623 · DOI · Paper page
  5. 10.1007/11871637_53 · DOI
  6. 10.1145/281250.281253 · DOI
  7. Larivière V., 2014, Are elite journals declining?, JASIST, 65, 649
  8. 10.1145/2623330.2623630 · DOI
  9. Shum H., 2014, Microsoft Research Faculty Summit
  10. Shum H., 2010, Microsoft Research Faculty Summit
  11. 10.1145/1255175.1255243 · DOI
  12. 10.1145/1277741.1277868 · DOI
  13. Wang K., 2014, ACM SIGIR

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Metadata

Authors
Sinha, A., Shen, Z., Song, Y., Ma, H., Eide, D., Hsu, B.-J. (., & Wang, K.
Affiliations
Microsoft Research, Redmond, WA, USA
Venue
Proceedings of the 24th International Conference on World Wide Web
Publisher
ACM
Published
2015-05-18
Pages
243-246
DOI
10.1145/2740908.2742839
Cited by
658
References
0
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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