September 29, 2016: Seminar - Kuansan Wang: "Can we assess scholarly impacts by mining the web?"


Can we assess scholarly impacts by mining the web?

Dr. Kuansan Wang
Microsoft Research
Thursday, September 29 2016
11:00 a.m., Room 100 Science and Engineering Offices


Scientific advancements are firmly established on rigorous measurements, yet as a community we have yet to apply the same rigor to assess the impacts of our own work. The issues have become so pressing that more than 800 world renowned scholarly institutions have jointly drafted and signed the San Francisco Declaration on Research Assessment (DORA) to point out the shortcomings of today?s common practices and call for a fundamental change in mindsets and approaches. Motivated by the availability of a large academic dataset and the cloud computing facility, a group of data science researchers and practitioners have gathered in Redmond Washington on July 15, 2016, to inaugurate the Open Academic Society (OAS) to collaborate and promote work on research based on big scholarly data. This talk will first introduce the formation of OAS and its founding principles, and describe the initial contributions from its members in the areas of publicly accessible datasets and the open-sourced analytical framework. Two contributions from Microsoft Research, a large knowledge graph containing the publication records dated back to the dawn of the industrial revolution, and a ranking algorithm that determines the order Microsoft Academic search service presents search results, will also be described in details.


Kuansan Wang is a principal researcher and managing director of Microsoft Research Outreach where he is responsible for engaging with the global academic community on jointly advancing the state-of-the-art in the areas MSR conducts research. He is leading a team that conducts research on web-scale machine reading, intelligent inference, deep semantic analytics and user behavior modeling. Dr. Wang joined MSR in 1998 as a researcher in speech technology group where he conducted research in language modeling and multimodal interactions. He then became a software architect for Microsoft speech product group, responsible for Microsoft Speech Server and Response Point, and represented Microsoft to W3C, ECMA and ISO to help author international standards in speech, language and communication areas. He returned to MSR to work on web search in 2007 and was a key driving force to evolve web search from a keyword based to semantic based paradigm. Dr. Wang received his BS degree from National Taiwan University and MS and PhD from University of Maryland, College Park, all in Electrical Engineering.

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