Microsoft launches the preview of Microsoft Academic 2.0. Microsoft Academic Search was originally started as a research project and Microsoft stopped the development of it in 2012.  Microsoft Academic 2.0 update comes with the ability to follow authors, institutions, journals, conferences and topics to create your own personalized research feed.

This new service puts a knowledge driven, semantic inference based search and recommendation framework front and center. In addition, a new data structure and graph engine have been developed to facilitate the real-time intent recognition and knowledge serving. One illustrating feature is semantic query suggestions that identify authors, topics, journals, conferences, etc., as you type and offer ways to refine your search based on the data in the underlying academic knowledge graph. You can also refine your results using the filters on the search results page.

Since Microsoft Academic 2.0 is built on top of Bing’s web search infrastructure, they now have over 210 million entities and billions of relationships in the Microsoft Academic Graph and growing. Check out the Microsoft Academic 2.0 preview site here.